{"channeldata_version":1,"packages":{"_nvpl_dev_mutex":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"home":"https://developer.nvidia.com/nvpl","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["noarch"],"summary":"The NVIDIA Performance Libraries (NVPL). For convenience only! Not to be used in host requirements for conda recipes!","text_prefix":false,"timestamp":1779920016,"version":"26.5.0"},"arm-variant":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Use this package to select which ARM variant to use at runtime or compile for.  There are a couple of ARM variants that differ based on architecture.  Currently the main ones are:   * SBSA ( Server Base System Architecture ), which is used in clusters, cloud environments, etc.   * Tegra ( System on a Chip ), which is used in edge applications like mobile internet devices, streaming systems, etc.  These variants have different CUDA Toolkits, and the arm-variant package is used to select between them.  The default is SBSA. Select the tegra 'arm-variant' package by installing 'arm-variant=*=tegra'.","home":"https://github.com/conda-forge/arm-variant-feedstock","license":"BSD-3-Clause","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"1.2.0":{"strong":["arm-variant * tegra"]}},"subdirs":["noarch"],"summary":"A meta-package to select the ARM variant.","text_prefix":false,"timestamp":1742928609,"version":"1.2.0"},"ast_canopy":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64"],"summary":"ast_canopy is a CUDA C++ device function header parser","text_prefix":true,"timestamp":1719326644,"version":"0.7.0"},"cf-nvidia-tools":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"This package contains CLI tools for validating and linting NVIDIA's conda recipes on conda-forge. For a description of the tools see the README in the package feedstock. The tools are hosted directly in the feedstock; there is no external source code repository for these tools at this time.","home":"https://github.com/conda-forge/cf-nvidia-tools-feedstock","license":"Apache-2.0","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["noarch"],"summary":"NVIDIA's feedstock validation and linting tools for conda-forge","text_prefix":false,"timestamp":1737054943,"version":"1.0.0"},"cublasmp":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"NVIDIA cublasMp is a high performance, multi-process, GPU accelerated library for distributed basic dense linear algebra. cuBLASMp is compatible with 2D block-cyclic data layout and provides PBLAS-like C APIs.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["noarch"],"summary":"Meta-package containing all NVIDIA cublasMp packages, not intended for use in a conda-build context.","text_prefix":false,"timestamp":1779301201,"version":"0.9.1"},"cuda":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Meta-package containing all the available packages required for native CUDA development","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le","noarch","win-64"],"summary":"Meta-package containing all the available packages for native CUDA development","text_prefix":false,"timestamp":1659086897,"version":"13.3.0"},"cuda-bindings":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"CUDA Python provides a standard set of low-level interfaces, providing full coverage of and access to the CUDA host APIs from Python.","dev_url":"https://github.com/NVIDIA/cuda-python","doc_url":"https://nvidia.github.io/cuda-python/cuda-bindings","home":"https://nvidia.github.io/cuda-python/cuda-bindings","license":"LicenseRef-NVIDIA-SOFTWARE-LICENSE","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"11.8.6":{"weak":["cuda-python >=11.8.6,<12.0a0"]},"11.8.7":{"weak":["cuda-python >=11.8.7,<12.0a0"]},"12.8.0":{"weak":["cuda-python >=12,<13.0a0"]},"12.9.0":{"weak":["cuda-python >=12,<13.0a0"]},"12.9.1":{"weak":["cuda-python >=12,<13.0a0"]},"12.9.3":{"weak":["cuda-python >=12,<13.0a0"]},"13.0.0":{"weak":["cuda-python >=13,<14.0a0"]},"13.0.2":{"weak":["cuda-python >=13,<14.0a0"]}},"source_url":"https://github.com/NVIDIA/cuda-python/releases/download/v13.1.1/cuda-python-v13.1.1.tar.gz","subdirs":["linux-64","linux-aarch64","win-64"],"summary":"CUDA Python Low-level Bindings","text_prefix":true,"timestamp":1765335634,"version":"13.1.1"},"cuda-cccl":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"CUDA C++ Core Libraries","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"source_url":"/jenkins/agent/cia-jenkins-master-03.nvidia.com/workspace/fragments/conda/conda-component-cuda-cccl/conda/build/cuda_cccl-linux-x86_64-11.7.58-archive.tar.xz","subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"CUDA C++ Core Libraries","text_prefix":false,"timestamp":1674620042,"version":"13.3.3.3.1"},"cuda-cccl_linux-64":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"CUDA C++ Core Libraries","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","noarch"],"summary":"CUDA C++ Core Libraries","text_prefix":false,"timestamp":1721098265,"version":"13.3.3.3.1"},"cuda-cccl_linux-aarch64":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"CUDA C++ Core Libraries","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-aarch64","noarch"],"summary":"CUDA C++ Core Libraries","text_prefix":false,"timestamp":1721098455,"version":"13.3.3.3.1"},"cuda-cccl_win-64":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"CUDA C++ Core Libraries","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["noarch","win-64"],"summary":"CUDA C++ Core Libraries","text_prefix":false,"timestamp":1755227154,"version":"13.3.3.3.1"},"cuda-command-line-tools":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Meta-package containing the command line tools to debug CUDA applications","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"Meta-package containing the command line tools to debug CUDA applications","text_prefix":false,"timestamp":1681743413,"version":"13.3.0"},"cuda-compiler":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"A meta-package containing tools to start developing and compiling a basic CUDA application.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le","noarch","win-64"],"summary":"A meta-package containing tools to start developing a CUDA application","text_prefix":false,"timestamp":1690435242,"version":"13.3.0"},"cuda-core":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"cuda.core bridges Python's productivity with CUDA's performance through intuitive and pythonic APIs. The mission is to provide users full access to all of the core CUDA features in Python, such as runtime control, compiler and linker.","dev_url":"https://github.com/NVIDIA/cuda-python","doc_url":"https://nvidia.github.io/cuda-python/cuda-core","home":"https://nvidia.github.io/cuda-python/cuda-core","license":"Apache-2.0","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"source_url":"https://github.com/NVIDIA/cuda-python/releases/download/cuda-core-v0.4.2/cuda-python-cuda-core-v0.4.2.tar.gz","subdirs":["linux-64","linux-aarch64","win-64"],"summary":"cuda.core: (experimental) pythonic CUDA module","text_prefix":true,"timestamp":1763481544,"version":"0.4.2"},"cuda-crt":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"CUDA internal headers.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","win-64"],"summary":"CUDA internal headers.","text_prefix":false,"timestamp":1723662350,"version":"13.3.33"},"cuda-crt-dev_linux-64":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"CUDA internal headers.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["noarch"],"summary":"CUDA internal headers.","text_prefix":false,"timestamp":1717668725,"version":"13.3.33"},"cuda-crt-dev_linux-aarch64":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"CUDA internal headers.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["noarch"],"summary":"CUDA internal headers.","text_prefix":false,"timestamp":1720730255,"version":"13.3.33"},"cuda-crt-dev_win-64":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"CUDA internal headers.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["noarch"],"summary":"CUDA internal headers.","text_prefix":false,"timestamp":1717674174,"version":"13.3.33"},"cuda-crt-tools":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"CUDA internal tools.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","win-64"],"summary":"CUDA internal tools.","text_prefix":false,"timestamp":1723661983,"version":"13.3.33"},"cuda-ctadvisor":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"CUDA Compile Time Advisor (ctadvisor) analyzes trace files containing compilation time information generated by NVCC or NVRTC. ctadvisor identifies compilation bottlenecks that take significant amount of time, for examples, template instantiation and headers processing. The tool provides users with suggestions to reduce compilation time.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","win-64"],"summary":"ctadvisor is a tool that helps users analyze the compilation time of their CUDA C++ code and provides suggestions to reduce it.","text_prefix":false,"timestamp":1773990770,"version":"13.3.33"},"cuda-cudart":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"CUDA Runtime Native Libraries","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"source_url":"/jenkins/agent/cia-jenkins-master-03.nvidia.com/workspace/fragments/conda/conda-component-cuda-cudart/conda/build/cuda_cudart-linux-x86_64-11.5.117.tar.gz","subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"CUDA Runtime Native Libraries","text_prefix":true,"timestamp":1709090344,"version":"13.3.29"},"cuda-cudart-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"CUDA Runtime Native Libraries","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"12.5.39":{"weak":["cuda-cudart >=12.5.39,<13.0a0"]},"12.5.82":{"weak":["cuda-cudart >=12.5.82,<13.0a0"]},"12.6.37":{"weak":["cuda-cudart >=12.6.37,<13.0a0"]},"12.6.68":{"weak":["cuda-cudart >=12.6.68,<13.0a0"]},"12.6.77":{"weak":["cuda-cudart >=12.6.77,<13.0a0"]},"12.8.57":{"weak":["cuda-cudart >=12.8.57,<13.0a0"]},"12.8.90":{"weak":["cuda-cudart >=12.8.90,<13.0a0"]},"12.9.37":{"weak":["cuda-cudart >=12.9.37,<13.0a0"]},"12.9.79":{"weak":["cuda-cudart >=12.9.79,<13.0a0"]},"13.0.48":{"weak":["cuda-cudart >=13.0.48,<14.0a0"]},"13.0.88":{"weak":["cuda-cudart >=13.0.88,<14.0a0"]},"13.0.96":{"weak":["cuda-cudart >=13.0.96,<14.0a0"]},"13.1.80":{"weak":["cuda-cudart >=13.1.80,<14.0a0"]},"13.2.51":{"weak":["cuda-cudart >=13.2.51,<14.0a0"]},"13.2.75":{"weak":["cuda-cudart >=13.2.75,<14.0a0"]},"13.3.29":{"weak":["cuda-cudart >=13.3.29,<14.0a0"]}},"source_url":"/jenkins/agent/cia-jenkins-master-03.nvidia.com/workspace/fragments/conda/conda-component-cuda-cudart/conda/build/cuda_cudart-linux-x86_64-11.5.117.tar.gz","subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"CUDA Runtime Native Libraries","text_prefix":true,"timestamp":1692166451,"version":"13.3.29"},"cuda-cudart-dev_linux-64":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"CUDA Runtime Native Libraries","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"12.5.39":{"weak":["cuda-cudart >=12.5.39,<13.0a0"]},"12.5.82":{"weak":["cuda-cudart >=12.5.82,<13.0a0"]},"12.6.37":{"weak":["cuda-cudart >=12.6.37,<13.0a0"]},"12.6.68":{"weak":["cuda-cudart >=12.6.68,<13.0a0"]},"12.6.77":{"weak":["cuda-cudart >=12.6.77,<13.0a0"]},"12.8.57":{"weak":["cuda-cudart >=12.8.57,<13.0a0"]},"12.8.90":{"weak":["cuda-cudart >=12.8.90,<13.0a0"]},"12.9.37":{"weak":["cuda-cudart >=12.9.37,<13.0a0"]},"12.9.79":{"weak":["cuda-cudart >=12.9.79,<13.0a0"]},"13.0.48":{"weak":["cuda-cudart >=13.0.48,<14.0a0"]},"13.0.88":{"weak":["cuda-cudart >=13.0.88,<14.0a0"]},"13.0.96":{"weak":["cuda-cudart >=13.0.96,<14.0a0"]},"13.1.80":{"weak":["cuda-cudart >=13.1.80,<14.0a0"]},"13.2.51":{"weak":["cuda-cudart >=13.2.51,<14.0a0"]},"13.2.75":{"weak":["cuda-cudart >=13.2.75,<14.0a0"]},"13.3.29":{"weak":["cuda-cudart >=13.3.29,<14.0a0"]}},"subdirs":["noarch"],"summary":"CUDA Runtime Native Libraries","text_prefix":false,"timestamp":1721100954,"version":"13.3.29"},"cuda-cudart-dev_linux-aarch64":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"CUDA Runtime Native Libraries","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"12.5.39":{"weak":["cuda-cudart >=12.5.39,<13.0a0"]},"12.5.82":{"weak":["cuda-cudart >=12.5.82,<13.0a0"]},"12.6.37":{"weak":["cuda-cudart >=12.6.37,<13.0a0"]},"12.6.68":{"weak":["cuda-cudart >=12.6.68,<13.0a0"]},"12.6.77":{"weak":["cuda-cudart >=12.6.77,<13.0a0"]},"12.8.57":{"weak":["cuda-cudart >=12.8.57,<13.0a0"]},"12.8.90":{"weak":["cuda-cudart >=12.8.90,<13.0a0"]},"12.9.37":{"weak":["cuda-cudart >=12.9.37,<13.0a0"]},"12.9.79":{"weak":["cuda-cudart >=12.9.79,<13.0a0"]},"13.0.48":{"weak":["cuda-cudart >=13.0.48,<14.0a0"]},"13.0.88":{"weak":["cuda-cudart >=13.0.88,<14.0a0"]},"13.0.96":{"weak":["cuda-cudart >=13.0.96,<14.0a0"]},"13.1.80":{"weak":["cuda-cudart >=13.1.80,<14.0a0"]},"13.2.51":{"weak":["cuda-cudart >=13.2.51,<14.0a0"]},"13.2.75":{"weak":["cuda-cudart >=13.2.75,<14.0a0"]},"13.3.29":{"weak":["cuda-cudart >=13.3.29,<14.0a0"]}},"subdirs":["noarch"],"summary":"CUDA Runtime Native Libraries","text_prefix":false,"timestamp":1723657986,"version":"13.3.29"},"cuda-cudart-dev_win-64":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"CUDA Runtime Native Libraries","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"12.5.39":{"weak":["cuda-cudart >=12.5.39,<13.0a0"]},"12.5.82":{"weak":["cuda-cudart >=12.5.82,<13.0a0"]},"12.6.37":{"weak":["cuda-cudart >=12.6.37,<13.0a0"]},"12.6.68":{"weak":["cuda-cudart >=12.6.68,<13.0a0"]},"12.6.77":{"weak":["cuda-cudart >=12.6.77,<13.0a0"]},"12.8.57":{"weak":["cuda-cudart >=12.8.57,<13.0a0"]},"12.8.90":{"weak":["cuda-cudart >=12.8.90,<13.0a0"]},"12.9.37":{"weak":["cuda-cudart >=12.9.37,<13.0a0"]},"12.9.79":{"weak":["cuda-cudart >=12.9.79,<13.0a0"]},"13.0.48":{"weak":["cuda-cudart >=13.0.48,<14.0a0"]}},"subdirs":["noarch"],"summary":"CUDA Runtime Native Libraries","text_prefix":false,"timestamp":1723661434,"version":"13.3.29"},"cuda-cudart-static":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"CUDA Runtime Native Libraries","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"CUDA Runtime Native Libraries","text_prefix":false,"timestamp":1723661440,"version":"13.3.29"},"cuda-cudart-static_linux-64":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"CUDA Runtime Native Libraries","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["noarch"],"summary":"CUDA Runtime Native Libraries","text_prefix":false,"timestamp":1717668505,"version":"13.3.29"},"cuda-cudart-static_linux-aarch64":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"CUDA Runtime Native Libraries","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["noarch"],"summary":"CUDA Runtime Native Libraries","text_prefix":false,"timestamp":1721101067,"version":"13.3.29"},"cuda-cudart-static_win-64":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"CUDA Runtime Native Libraries","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["noarch"],"summary":"CUDA Runtime Native Libraries","text_prefix":false,"timestamp":1717673429,"version":"13.3.29"},"cuda-cudart_linux-64":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"CUDA Runtime architecture dependent libraries","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["noarch"],"summary":"CUDA Runtime architecture dependent libraries","text_prefix":false,"timestamp":1723657738,"version":"13.3.29"},"cuda-cudart_linux-aarch64":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"CUDA Runtime architecture dependent libraries","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["noarch"],"summary":"CUDA Runtime architecture dependent libraries","text_prefix":false,"timestamp":1721101100,"version":"13.3.29"},"cuda-cudart_win-64":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"CUDA Runtime architecture dependent libraries","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["noarch"],"summary":"CUDA Runtime architecture dependent libraries","text_prefix":false,"timestamp":1723661353,"version":"13.3.29"},"cuda-culibos-static":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"The CUDA cuLIBOS static library is required to link against the static CUDA math libraries.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64"],"summary":"The cuLIBOS library is a backend thread abstraction layer library.","text_prefix":false,"timestamp":1777087416,"version":"13.3.33"},"cuda-cuobjdump":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Extracts information from CUDA binary files and presents them in human readable format.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"source_url":"/jenkins/agent/cia-jenkins-master-03.nvidia.com/workspace/fragments/conda/conda-component-cuda-cuobjdump@2/conda/build/cuda_cuobjdump-linux-x86_64-11.5.50.tar.gz","subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"Extracts information from CUDA binary files","text_prefix":true,"timestamp":1661546188,"version":"13.3.29"},"cuda-cupti":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Provides libraries to enable third party tools using GPU profiling APIs.","doc_url":"https://docs.nvidia.com/cuda/cupti/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"source_url":"/jenkins/agent/cia-jenkins-master-03.nvidia.com/workspace/fragments/conda/conda-component-cuda-cupti/conda/build/cuda_cupti-linux-x86_64-11.6.55.tar.gz","subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"Provides libraries to enable third party tools using GPU profiling APIs.","text_prefix":true,"timestamp":1657659652,"version":"13.3.35"},"cuda-cupti-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Provides libraries to enable third party tools using GPU profiling APIs.","doc_url":"https://docs.nvidia.com/cuda/cupti/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"12.6.37":{"weak":["cuda-cupti >=12.6.37,<13.0a0"]},"12.6.68":{"weak":["cuda-cupti >=12.6.68,<13.0a0"]},"12.6.80":{"weak":["cuda-cupti >=12.6.80,<13.0a0"]},"12.8.57":{"weak":["cuda-cupti >=12.8.57,<13.0a0"]},"12.8.90":{"weak":["cuda-cupti >=12.8.90,<13.0a0"]},"12.9.19":{"weak":["cuda-cupti >=12.9.19,<13.0a0"]},"12.9.79":{"weak":["cuda-cupti >=12.9.79,<13.0a0"]},"13.0.48":{"weak":["cuda-cupti >=13.0.48,<14.0a0"]},"13.0.85":{"weak":["cuda-cupti >=13.0.85,<14.0a0"]},"13.1.115":{"weak":["cuda-cupti >=13.1.115,<14.0a0"]},"13.1.75":{"weak":["cuda-cupti >=13.1.75,<14.0a0"]},"13.2.23":{"weak":["cuda-cupti >=13.2.23,<14.0a0"]},"13.2.75":{"weak":["cuda-cupti >=13.2.75,<14.0a0"]},"13.3.35":{"weak":["cuda-cupti >=13.3.35,<14.0a0"]}},"subdirs":["linux-64","linux-aarch64","win-64"],"summary":"Provides libraries to enable third party tools using GPU profiling APIs.","text_prefix":false,"timestamp":1717670035,"version":"13.3.35"},"cuda-cupti-doc":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Provides libraries to enable third party tools using GPU profiling APIs.","doc_url":"https://docs.nvidia.com/cuda/cupti/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","win-64"],"summary":"Provides libraries to enable third party tools using GPU profiling APIs.","text_prefix":false,"timestamp":1717670030,"version":"13.3.35"},"cuda-cupti-static":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Provides libraries to enable third party tools using GPU profiling APIs.","doc_url":"https://docs.nvidia.com/cuda/cupti/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le"],"summary":"Provides libraries to enable third party tools using GPU profiling APIs.","text_prefix":false,"timestamp":1698760370,"version":"13.3.35"},"cuda-cuxxfilt":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"cu++filt decodes (demangles) low-level identifiers that have been mangled by CUDA C++ into user readable names. For every input alphanumeric word, the output of cu++filt is either the demangled name if the name decodes to a CUDA C++ name, or the original name itself.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"source_url":"/jenkins/agent/cia-jenkins-master-03.nvidia.com/workspace/fragments/conda/conda-component-cuda-cuxxfilt@2/conda/build/cuda_cuxxfilt-linux-x86_64-11.6.112.tar.gz","subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"cu++filt decodes low-level identifiers that have been mangled by CUDA C++","text_prefix":true,"timestamp":1723661733,"version":"13.3.29"},"cuda-demo-suite":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Set of pre-built demos using CUDA.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","win-64"],"text_prefix":true,"timestamp":1695768037,"version":"12.4.127"},"cuda-documentation":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Contains all guides and library documentation for CUDA.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"text_prefix":true,"timestamp":1709082856,"version":"12.4.127"},"cuda-driver-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"CUDA Runtime Native Libraries","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"source_url":"/jenkins/agent/cia-jenkins-master-03.nvidia.com/workspace/fragments/conda/conda-component-cuda-cudart/conda/build/cuda_cudart-linux-x86_64-11.5.117.tar.gz","subdirs":["linux-64","linux-aarch64","linux-ppc64le"],"summary":"CUDA Runtime Native Libraries","text_prefix":false,"timestamp":1655216659,"version":"13.3.29"},"cuda-driver-dev_linux-64":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"CUDA Runtime Native Libraries","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["noarch"],"summary":"CUDA Runtime Native Libraries","text_prefix":false,"timestamp":1721100945,"version":"13.3.29"},"cuda-driver-dev_linux-aarch64":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"CUDA Runtime Native Libraries","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["noarch"],"summary":"CUDA Runtime Native Libraries","text_prefix":false,"timestamp":1717669934,"version":"13.3.29"},"cuda-gdb":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"CUDA-GDB is the NVIDIA tool for debugging CUDA applications running on Linux. CUDA-GDB is an extension to the x86-64 port of GDB, the GNU Project debugger.","doc_url":"https://docs.nvidia.com/cuda/cuda-gdb/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"source_url":"/jenkins/agent/cia-jenkins-master-03.nvidia.com/workspace/fragments/conda/conda-component-cuda-gdb/conda/build/cuda_gdb-linux-x86_64-11.5.50.tar.gz","subdirs":["linux-64","linux-aarch64","linux-ppc64le"],"summary":"CUDA-GDB is the NVIDIA tool for debugging CUDA applications","text_prefix":false,"timestamp":1636698258,"version":"13.3.27"},"cuda-gdb-src":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"CUDA-GDB is the NVIDIA tool for debugging CUDA applications running on Linux. CUDA-GDB is an extension to the x86-64 port of GDB, the GNU Project debugger.","doc_url":"https://docs.nvidia.com/cuda/cuda-gdb/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"source_url":"/jenkins/agent/cia-jenkins-master-03.nvidia.com/workspace/fragments/conda/conda-component-cuda-gdb/conda/build/cuda_gdb-linux-x86_64-11.7.50-archive.tar.xz","subdirs":["linux-64","linux-aarch64","linux-ppc64le"],"summary":"CUDA-GDB is the NVIDIA tool for debugging CUDA applications","text_prefix":false,"timestamp":1668058899,"version":"13.3.27"},"cuda-libraries":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Meta-package containing all available library runtime packages.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"Meta-package containing all available library runtime packages.","text_prefix":false,"timestamp":1709168022,"version":"13.3.0"},"cuda-libraries-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Meta-package containing all available library development packages.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"Meta-package containing all available library development packages.","text_prefix":false,"timestamp":1657896628,"version":"13.3.0"},"cuda-libraries-devel":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"text_prefix":false,"timestamp":1626110559,"version":"11.3.0"},"cuda-libraries-static":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Meta-package containing all available library static packages.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"Meta-package containing all available library static packages.","text_prefix":false,"timestamp":1722029533,"version":"13.3.0"},"cuda-memcheck":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"CUDA-MEMCHECK is a functional correctness checking suite that contains multiple tools that can perform different types of checks on CUDA applications","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"source_url":"/jenkins/agent/cia-jenkins-master-03.nvidia.com/workspace/fragments/conda/conda-component-cuda-memcheck/conda/build/cuda_memcheck-linux-x86_64-11.7.50-archive.tar.xz","subdirs":["linux-64","linux-ppc64le","win-64"],"text_prefix":true,"timestamp":1642737075,"version":"11.8.86"},"cuda-minimal-build":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Meta-package containing the minimal necessary to build basic CUDA apps.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le","noarch","win-64"],"summary":"Meta-package containing the minimal necessary to build basic CUDA apps.","text_prefix":false,"timestamp":1687763022,"version":"13.3.0"},"cuda-nsight":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"NVIDIA Nsight Eclipse Edition is a unified CPU plus GPU integrated development environment (IDE) for developing CUDA applications for the x86, POWER and ARM platforms.","doc_url":"https://developer.nvidia.com/nsight-eclipse-edition","home":"https://developer.nvidia.com/nsight-eclipse-edition","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-ppc64le"],"summary":"A unified CPU plus GPU IDE for developing CUDA applications","text_prefix":false,"timestamp":1682908716,"version":"13.2.75"},"cuda-nsight-compute":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"text_prefix":false,"timestamp":1658347359,"version":"12.4.1"},"cuda-nvcc":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Compiler for CUDA applications.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"source_url":"/jenkins/agent/cia-jenkins-master-03.nvidia.com/workspace/fragments/conda/conda-component-cuda-nvcc/conda/build/cuda_nvcc-linux-x86_64-11.3.58.tar.gz","subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"Compiler for CUDA applications.","text_prefix":true,"timestamp":1675849822,"version":"13.3.33"},"cuda-nvcc-dev_linux-64":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Compiler for CUDA applications.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["noarch"],"summary":"Target architecture dependent parts of CUDA NVCC compiler.","text_prefix":false,"timestamp":1720730181,"version":"13.3.33"},"cuda-nvcc-dev_linux-aarch64":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Compiler for CUDA applications.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["noarch"],"summary":"Target architecture dependent parts of CUDA NVCC compiler.","text_prefix":false,"timestamp":1720730566,"version":"13.3.33"},"cuda-nvcc-dev_win-64":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Compiler for CUDA applications.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["noarch"],"summary":"Target architecture dependent parts of CUDA NVCC compiler.","text_prefix":false,"timestamp":1720729296,"version":"13.3.33"},"cuda-nvcc-impl":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Compiler for CUDA applications.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","win-64"],"summary":"Compiler for CUDA applications.","text_prefix":false,"timestamp":1720729408,"version":"13.3.33"},"cuda-nvcc-tools":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Compiler for CUDA applications.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","win-64"],"summary":"Architecture independent part of CUDA NVCC compiler.","text_prefix":false,"timestamp":1717674301,"version":"13.3.33"},"cuda-nvcc_linux-64":{"activate.d":true,"binary_prefix":false,"deactivate.d":true,"description":"Compiler for CUDA applications.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"12.5.40":{"strong":["cuda-version >=12.5,<13"]},"12.5.82":{"strong":["cuda-version >=12.5,<13"]},"12.6.20":{"strong":["cuda-version >=12.6,<13"]},"12.6.68":{"strong":["cuda-version >=12.6,<13"]},"12.6.77":{"strong":["cuda-version >=12.6,<13"]},"12.6.85":{"strong":["cuda-version >=12.6,<13"]},"12.8.61":{"strong":["cuda-version >=12.8,<13"]},"12.8.93":{"strong":["cuda-version >=12.8,<13"]},"12.9.41":{"strong":["cuda-version >=12.9,<13"]},"12.9.86":{"strong":["cuda-version >=12.9,<13"]},"13.0.48":{"strong":["cuda-version >=13.0,<14"]},"13.0.88":{"strong":["cuda-version >=13.0,<14"]},"13.1.115":{"strong":["cuda-version >=13.1,<14"]},"13.1.80":{"strong":["cuda-version >=13.1,<14"]},"13.2.51":{"strong":["cuda-version >=13.2,<14"]},"13.2.78":{"strong":["cuda-version >=13.2,<14"]},"13.3.33":{"strong":["cuda-version >=13.3,<14"]}},"subdirs":["linux-64"],"summary":"Compiler activation scripts for CUDA applications.","text_prefix":false,"timestamp":1656951560,"version":"13.3.33"},"cuda-nvcc_linux-aarch64":{"activate.d":true,"binary_prefix":false,"deactivate.d":true,"description":"Compiler for CUDA applications.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"12.5.40":{"strong":["cuda-version >=12.5,<13"]},"12.5.82":{"strong":["cuda-version >=12.5,<13"]},"12.6.20":{"strong":["cuda-version >=12.6,<13"]},"12.6.68":{"strong":["cuda-version >=12.6,<13"]},"12.6.77":{"strong":["cuda-version >=12.6,<13"]},"12.6.85":{"strong":["cuda-version >=12.6,<13"]},"12.8.61":{"strong":["cuda-version >=12.8,<13"]},"12.8.93":{"strong":["cuda-version >=12.8,<13"]},"12.9.41":{"strong":["cuda-version >=12.9,<13"]},"12.9.86":{"strong":["cuda-version >=12.9,<13"]},"13.0.48":{"strong":["cuda-version >=13.0,<14","arm-variant * sbsa"]},"13.0.88":{"strong":["cuda-version >=13.0,<14","arm-variant * sbsa"]},"13.1.115":{"strong":["cuda-version >=13.1,<14","arm-variant * sbsa"]},"13.1.80":{"strong":["cuda-version >=13.1,<14","arm-variant * sbsa"]},"13.2.51":{"strong":["cuda-version >=13.2,<14","arm-variant * sbsa"]},"13.2.78":{"strong":["cuda-version >=13.2,<14","arm-variant * sbsa"]},"13.3.33":{"strong":["cuda-version >=13.3,<14","arm-variant * sbsa"]}},"subdirs":["linux-64","linux-aarch64"],"summary":"Compiler activation scripts for CUDA applications.","text_prefix":false,"timestamp":1664569541,"version":"13.3.33"},"cuda-nvcc_linux-ppc64le":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-ppc64le"],"text_prefix":false,"timestamp":1670055843,"version":"12.4.1"},"cuda-nvcc_win-64":{"activate.d":true,"binary_prefix":false,"deactivate.d":true,"description":"Compiler for CUDA applications.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"12.5.40":{"strong":["cuda-version >=12.5,<13"]},"12.5.82":{"strong":["cuda-version >=12.5,<13"]},"12.6.20":{"strong":["cuda-version >=12.6,<13"]},"12.6.68":{"strong":["cuda-version >=12.6,<13"]},"12.6.77":{"strong":["cuda-version >=12.6,<13"]},"12.6.85":{"strong":["cuda-version >=12.6,<13"]},"12.8.61":{"strong":["cuda-version >=12.8,<13"]},"12.8.93":{"strong":["cuda-version >=12.8,<13"]},"12.9.41":{"strong":["cuda-version >=12.9,<13"]},"12.9.86":{"strong":["cuda-version >=12.9,<13"]},"13.0.48":{"strong":["cuda-version >=13.0,<14"]},"13.0.88":{"strong":["cuda-version >=13.0,<14"]},"13.1.115":{"strong":["cuda-version >=13.1,<14"]},"13.1.80":{"strong":["cuda-version >=13.1,<14"]},"13.2.51":{"strong":["cuda-version >=13.2,<14"]},"13.2.78":{"strong":["cuda-version >=13.2,<14"]},"13.3.33":{"strong":["cuda-version >=13.3,<14"]}},"subdirs":["win-64"],"summary":"Compiler activation scripts for CUDA applications.","text_prefix":false,"timestamp":1674916188,"version":"13.3.33"},"cuda-nvdisasm":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"nvdisasm extracts information from standalone cubin files and presents them in human readable format.","doc_url":"https://docs.nvidia.com/cuda/cuda-binary-utilities/","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"source_url":"/jenkins/agent/cia-jenkins-master-03.nvidia.com/workspace/fragments/conda/conda-component-cuda-nvdisasm/conda/build/cuda_nvdisasm-linux-x86_64-11.3.58.tar.gz","subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"nvdisasm extracts information from standalone cubin files","text_prefix":true,"timestamp":1723661293,"version":"13.3.29"},"cuda-nvml-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"NVML native dev links, headers","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"source_url":"/jenkins/agent/cia-jenkins-master-03.nvidia.com/workspace/fragments/conda/conda-component-cuda-nvml-dev/conda/build/cuda_nvml_dev-linux-x86_64-11.5.50.tar.gz","subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"NVML native dev links, headers","text_prefix":true,"timestamp":1673061122,"version":"13.3.29"},"cuda-nvprof":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Tool for collecting and viewing CUDA application profiling data from the command-line.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"source_url":"/jenkins/agent/cia-jenkins-master-03.nvidia.com/workspace/fragments/conda/conda-component-cuda-nvprof/conda/build/cuda_nvprof-linux-x86_64-11.4.120.tar.gz","subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"Tool for collecting and viewing CUDA application profiling data","text_prefix":true,"timestamp":1657660447,"version":"12.9.79"},"cuda-nvprune":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Prunes host object files and libraries to only contain device code for the specified targets.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"source_url":"/jenkins/agent/cia-jenkins-master-03.nvidia.com/workspace/fragments/conda/conda-component-cuda-nvprune/conda/build/cuda_nvprune-linux-x86_64-11.3.58.tar.gz","subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"Prunes host object files and libraries to only contain device code","text_prefix":true,"timestamp":1642726342,"version":"13.3.29"},"cuda-nvrtc":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"NVRTC native runtime libraries","doc_url":"https://docs.nvidia.com/cuda/nvrtc/","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"source_url":"/jenkins/agent/cia-jenkins-master-03.nvidia.com/workspace/fragments/conda/conda-component-cuda-nvrtc@3/conda/build/cuda_nvrtc-linux-x86_64-11.3.58.tar.gz","subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"NVRTC native runtime libraries","text_prefix":true,"timestamp":1689075777,"version":"13.3.33"},"cuda-nvrtc-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"NVRTC native runtime libraries","doc_url":"https://docs.nvidia.com/cuda/nvrtc/","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"12.5.40":{"weak":["cuda-nvrtc >=12.5.40,<13.0a0"]},"12.5.82":{"weak":["cuda-nvrtc >=12.5.82,<13.0a0"]},"12.6.20":{"weak":["cuda-nvrtc >=12.6.20,<13.0a0"]},"12.6.68":{"weak":["cuda-nvrtc >=12.6.68,<13.0a0"]},"12.6.77":{"weak":["cuda-nvrtc >=12.6.77,<13.0a0"]},"12.6.85":{"weak":["cuda-nvrtc >=12.6.85,<13.0a0"]},"12.8.61":{"weak":["cuda-nvrtc >=12.8.61,<13.0a0"]},"12.8.93":{"weak":["cuda-nvrtc >=12.8.93,<13.0a0"]},"12.9.41":{"weak":["cuda-nvrtc >=12.9.41,<13.0a0"]},"12.9.86":{"weak":["cuda-nvrtc >=12.9.86,<13.0a0"]},"13.0.48":{"weak":["cuda-nvrtc >=13.0.48,<14.0a0"]},"13.0.88":{"weak":["cuda-nvrtc >=13.0.88,<14.0a0"]},"13.1.115":{"weak":["cuda-nvrtc >=13.1.115,<14.0a0"]},"13.1.80":{"weak":["cuda-nvrtc >=13.1.80,<14.0a0"]},"13.2.51":{"weak":["cuda-nvrtc >=13.2.51,<14.0a0"]},"13.2.78":{"weak":["cuda-nvrtc >=13.2.78,<14.0a0"]},"13.3.33":{"weak":["cuda-nvrtc >=13.3.33,<14.0a0"]}},"source_url":"/jenkins/agent/cia-jenkins-master-03.nvidia.com/workspace/fragments/conda/conda-component-cuda-nvrtc/conda/build/cuda_nvrtc-linux-x86_64-11.6.124-archive.tar.xz","subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"NVRTC native runtime libraries","text_prefix":true,"timestamp":1723661872,"version":"13.3.33"},"cuda-nvrtc-static":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"NVRTC native runtime libraries","doc_url":"https://docs.nvidia.com/cuda/nvrtc/","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"NVRTC native runtime libraries","text_prefix":false,"timestamp":1720729628,"version":"13.3.33"},"cuda-nvtx":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"A C-based API for annotating events, code ranges, and resources in your applications. Applications which integrate NVTX can use the Visual Profiler to capture and visualize these events and ranges.","doc_url":"https://docs.nvidia.com/nvtx/","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"source_url":"/jenkins/agent/cia-jenkins-master-03.nvidia.com/workspace/fragments/conda/conda-component-cuda-nvtx/conda/build/cuda_nvtx-linux-x86_64-11.7.50-archive.tar.xz","subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"A C-based API for annotating events, code ranges, and resources","text_prefix":true,"timestamp":1698746047,"version":"13.3.29"},"cuda-nvtx-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"A C-based API for annotating events, code ranges, and resources in your applications. Applications which integrate NVTX can use the Visual Profiler to capture and visualize these events and ranges.","doc_url":"https://docs.nvidia.com/nvtx/","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"12.5.39":{"weak":["cuda-nvtx >=12.5.39,<13.0a0"]},"12.5.82":{"weak":["cuda-nvtx >=12.5.82,<13.0a0"]},"12.6.37":{"weak":["cuda-nvtx >=12.6.37,<13.0a0"]},"12.6.68":{"weak":["cuda-nvtx >=12.6.68,<13.0a0"]},"12.6.77":{"weak":["cuda-nvtx >=12.6.77,<13.0a0"]},"12.8.55":{"weak":["cuda-nvtx >=12.8.55,<13.0a0"]},"12.8.90":{"weak":["cuda-nvtx >=12.8.90,<13.0a0"]},"12.9.19":{"weak":["cuda-nvtx >=12.9.19,<13.0a0"]},"12.9.79":{"weak":["cuda-nvtx >=12.9.79,<13.0a0"]},"13.0.39":{"weak":["cuda-nvtx >=13.0.39,<14.0a0"]},"13.0.85":{"weak":["cuda-nvtx >=13.0.85,<14.0a0"]},"13.1.115":{"weak":["cuda-nvtx >=13.1.115,<14.0a0"]},"13.1.68":{"weak":["cuda-nvtx >=13.1.68,<14.0a0"]},"13.2.20":{"weak":["cuda-nvtx >=13.2.20,<14.0a0"]},"13.2.75":{"weak":["cuda-nvtx >=13.2.75,<14.0a0"]},"13.3.29":{"weak":["cuda-nvtx >=13.3.29,<14.0a0"]}},"subdirs":["linux-64","linux-aarch64","win-64"],"summary":"A C-based API for annotating events, code ranges, and resources","text_prefix":true,"timestamp":1721098892,"version":"13.3.29"},"cuda-nvvm":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Compiler for CUDA applications.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","win-64"],"summary":"Compiler for CUDA applications.","text_prefix":false,"timestamp":1717674527,"version":"13.3.33"},"cuda-nvvm-dev_linux-64":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Compiler for CUDA applications.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["noarch"],"summary":"Compiler for CUDA applications.","text_prefix":false,"timestamp":1720730068,"version":"13.3.33"},"cuda-nvvm-dev_linux-aarch64":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Compiler for CUDA applications.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["noarch"],"summary":"Compiler for CUDA applications.","text_prefix":false,"timestamp":1717669025,"version":"13.3.33"},"cuda-nvvm-dev_win-64":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Compiler for CUDA applications.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["noarch"],"summary":"Compiler for CUDA applications.","text_prefix":false,"timestamp":1723661985,"version":"13.3.33"},"cuda-nvvm-impl":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Compiler for CUDA applications.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","win-64"],"summary":"Compiler for CUDA applications.","text_prefix":false,"timestamp":1717674186,"version":"13.3.33"},"cuda-nvvm-tools":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Compiler for CUDA applications.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","win-64"],"summary":"Compiler for CUDA applications.","text_prefix":false,"timestamp":1723662083,"version":"13.3.33"},"cuda-nvvp":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"NVIDIA Visual Profiler to visualize and optimize the performance of your application.","doc_url":"https://docs.nvidia.com/cuda/profiler-users-guide/index.html","home":"https://developer.nvidia.com/nvidia-visual-profiler","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"source_url":"/jenkins/agent/cia-jenkins-master-03.nvidia.com/workspace/fragments/conda/conda-component-cuda-nvvp/conda/build/cuda_nvvp-linux-x86_64-11.6.112.tar.gz","subdirs":["linux-64","linux-ppc64le","win-64"],"summary":"NVIDIA Visual Profiler to visualize and optimize the performance of your application.","text_prefix":true,"timestamp":1657665950,"version":"12.9.79"},"cuda-opencl":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"CUDA OpenCL native Libraries","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","win-64"],"summary":"CUDA OpenCL native Libraries","text_prefix":true,"timestamp":1682910033,"version":"13.3.27"},"cuda-opencl-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"CUDA OpenCL native Libraries","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"12.5.39":{"weak":["cuda-opencl >=12.5.39,<13.0a0"]},"12.6.37":{"weak":["cuda-opencl >=12.6.37,<13.0a0"]},"12.6.68":{"weak":["cuda-opencl >=12.6.68,<13.0a0"]},"12.6.77":{"weak":["cuda-opencl >=12.6.77,<13.0a0"]},"12.8.55":{"weak":["cuda-opencl >=12.8.55,<13.0a0"]},"12.8.90":{"weak":["cuda-opencl >=12.8.90,<13.0a0"]},"12.9.19":{"weak":["cuda-opencl >=12.9.19,<13.0a0"]},"13.0.39":{"weak":["cuda-opencl >=13.0.39,<14.0a0"]},"13.0.85":{"weak":["cuda-opencl >=13.0.85,<14.0a0"]},"13.1.115":{"weak":["cuda-opencl >=13.1.115,<14.0a0"]},"13.1.80":{"weak":["cuda-opencl >=13.1.80,<14.0a0"]},"13.2.51":{"weak":["cuda-opencl >=13.2.51,<14.0a0"]},"13.2.75":{"weak":["cuda-opencl >=13.2.75,<14.0a0"]},"13.3.27":{"weak":["cuda-opencl >=13.3.27,<14.0a0"]}},"subdirs":["linux-64","win-64"],"summary":"CUDA OpenCL native Libraries","text_prefix":true,"timestamp":1692165766,"version":"13.3.27"},"cuda-pathfinder":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Public API for loading NVIDIA Dynamic Libraries","dev_url":"https://github.com/NVIDIA/cuda-python/tree/main/cuda_pathfinder","doc_url":"https://nvidia.github.io/cuda-python/cuda-pathfinder/latest/","home":"https://nvidia.github.io/cuda-python/cuda-pathfinder/latest/","license":"Apache-2.0","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["noarch"],"summary":"cuda.pathfinder: Utilities for locating CUDA components in a Python virtual environment","text_prefix":false,"timestamp":1760370228,"version":"1.3.1"},"cuda-profiler-api":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"CUDA Profiler API Headers.","doc_url":"https://docs.nvidia.com/nsight-compute/ProfilingGuide/index.html#range-replay-define-range","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"CUDA Profiler API Headers.","text_prefix":true,"timestamp":1692167905,"version":"13.3.27"},"cuda-python":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"CUDA Python is the home for accessing NVIDIA\u00e2\u20ac\u2122s CUDA platform from Python.","dev_url":"https://github.com/NVIDIA/cuda-python","doc_url":"https://nvidia.github.io/cuda-python/","home":"https://nvidia.github.io/cuda-python/","license":"LicenseRef-NVIDIA-SOFTWARE-LICENSE","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"source_url":"https://github.com/NVIDIA/cuda-python/releases/download/v13.1.1/cuda-python-v13.1.1.tar.gz","subdirs":["linux-64","linux-aarch64","linux-ppc64le","noarch","win-64"],"summary":"CUDA Python","text_prefix":true,"timestamp":1669977548,"version":"13.1.1"},"cuda-runtime":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Meta-package containing all runtime library packages.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le","noarch","win-64"],"summary":"Meta-package containing all runtime library packages.","text_prefix":false,"timestamp":1681743543,"version":"13.3.0"},"cuda-samples":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Sample CUDA applications which show the core functionality of CUDA as well as advanced features.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"source_url":"/jenkins/agent/cia-jenkins-master-03.nvidia.com/workspace/fragments/conda/conda-component-cuda-samples/conda/build/cuda_samples-linux-ppc64le-11.6.101.tar.gz","subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"text_prefix":true,"timestamp":1642725762,"version":"11.6.101"},"cuda-sanitizer-api":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Provides a set of APIs to enable third-party tools to write GPU sanitizing tools, such as memory and race checkers.","doc_url":"https://docs.nvidia.com/compute-sanitizer/SanitizerApiGuide/index.html","home":"https://docs.nvidia.com/compute-sanitizer/SanitizerApiGuide/index.html","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"source_url":"/jenkins/agent/cia-jenkins-master-03.nvidia.com/workspace/fragments/conda/conda-component-cuda-sanitizer-api@3/conda/build/cuda_sanitizer_api-linux-x86_64-11.6.124-archive.tar.xz","subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"Provides a set of APIs to enable third party tools to write GPU sanitizing tools","text_prefix":true,"timestamp":1653016813,"version":"13.3.27"},"cuda-thrust":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"source_url":"/jenkins/agent/cia-jenkins-master-03.nvidia.com/workspace/fragments/conda/conda-component-cuda-thrust@3/conda/build/cuda_thrust-linux-ppc64le-11.4.43.tar.gz","subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"text_prefix":true,"timestamp":1656446024,"version":"11.5.62"},"cuda-tileiras":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"With Tile IR, we introduce a new operation set and programming model to retain CUDA\u2019s performance across architectures while regaining portability and improving productivity for developers using matrix operations on new architectures. We virtualize tensor-cores and their associated programming model to the point that we can innovate new approaches in hardware without invalidating investments in software.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","win-64"],"summary":"TileIR is a portable and language agnostic intermediate representation for CUDA kernels","text_prefix":false,"timestamp":1777695720,"version":"13.3.36"},"cuda-toolkit":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Meta-package containing all toolkit packages for CUDA development","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le","noarch","win-64"],"summary":"Meta-package containing all toolkit packages for CUDA development","text_prefix":false,"timestamp":1692766163,"version":"13.3.0"},"cuda-tools":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Meta-package containing all CUDA command line and visual tools.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"Meta-package containing all CUDA command line and visual tools.","text_prefix":false,"timestamp":1709168454,"version":"13.3.0"},"cuda-version":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"A meta-package for pinning to a CUDA release version","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["noarch"],"summary":"A meta-package for pinning to a CUDA release version","text_prefix":false,"timestamp":1779219855,"version":"13.3"},"cuda-visual-tools":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Contains the visual tools to debug and profile CUDA applications","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"Contains the visual tools to debug and profile CUDA applications","text_prefix":false,"timestamp":1657842518,"version":"13.3.0"},"cudatoolkit":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"CUDA is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA, developers can dramatically speed up computing applications by harnessing the power of GPUs.  The CUDA Toolkit from NVIDIA provides everything you need to develop GPU-accelerated applications. This CUDA Toolkit includes GPU-accelerated libraries, and the CUDA runtime for the Conda ecosystem. For the full CUDA Toolkit with a compiler and development tools visit https://developer.nvidia.com/cuda-downloads  License Agreements The packages are governed by the CUDA Toolkit End User License Agreement (EULA). By downloading and using the packages, you accept the terms and conditions of the CUDA EULA - https://docs.nvidia.com/cuda/eula/index.html","dev_url":"https://developer.nvidia.com/cuda-downloads","doc_url":"https://docs.nvidia.com/cuda/","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":true,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"CUDA Toolkit - Including CUDA runtime","text_prefix":false,"timestamp":1634939087,"version":"11.7.0"},"cudnn":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"NVIDIA CUDA Deep Neural Network (cuDNN) is a GPU-accelerated library of primitives for deep neural networks. It provides highly tuned implementations of routines arising frequently in DNN applications.  License Agreements:- The packages are governed by the NVIDIA cuDNN Software License Agreement (EULA). By downloading and using the packages, you accept the terms and conditions of the NVIDIA cuDNN EULA - https://docs.nvidia.com/deeplearning/cudnn/sla/index.html","dev_url":"https://developer.nvidia.com/rdp/cudnn-download","doc_url":"https://docs.nvidia.com/deeplearning/cudnn/","home":"https://developer.nvidia.com/cudnn","license":"LicenseRef-cuDNN-Software-License-Agreement","post_link":true,"pre_link":false,"pre_unlink":false,"run_exports":{"8.0.0":{"weak":["cudnn >=8.0,<9.0a0"]},"8.0.4":{"weak":["cudnn >=8.0,<9.0a0"]},"9.11.0.98":{"weak":["cudnn >=9.11.0.98,<10.0a0"]},"9.11.1.4":{"weak":["cudnn >=9.11.1.4,<10.0a0"]},"9.12.0.46":{"weak":["cudnn >=9.12.0.46,<10.0a0"]},"9.13.0.50":{"weak":["cudnn >=9.13.0.50,<10.0a0"]},"9.13.1.26":{"weak":["cudnn >=9.13.1.26,<10.0a0"]},"9.14.0.64":{"weak":["cudnn >=9.14.0.64,<10.0a0"]},"9.15.0.58":{"weak":["cudnn >=9.15.0.58,<10.0a0"]},"9.15.1.9":{"weak":["cudnn >=9.15.1.9,<10.0a0"]},"9.16.0.29":{"weak":["cudnn >=9.16.0.29,<10.0a0"]},"9.17.0.29":{"weak":["cudnn >=9.17.0.29,<10.0a0"]},"9.17.1.4":{"weak":["cudnn >=9.17.1.4,<10.0a0"]},"9.18.0.77":{"weak":["cudnn >=9.18.0.77,<10.0a0"]},"9.18.1.3":{"weak":["cudnn >=9.18.1.3,<10.0a0"]},"9.19.0.56":{"weak":["cudnn >=9.19.0.56,<10.0a0"]},"9.19.1.2":{"weak":["cudnn >=9.19.1.2,<10.0a0"]},"9.20.0.48":{"weak":["cudnn >=9.20.0.48,<10.0a0"]},"9.21.0.82":{"weak":["cudnn >=9.21.0.82,<10.0a0"]},"9.21.1.3":{"weak":["cudnn >=9.21.1.3,<10.0a0"]},"9.22.0.52":{"weak":["cudnn >=9.22.0.52,<10.0a0"]},"9.23.1.3":{"weak":["cudnn >=9.23.1.3,<10.0a0"]},"9.3.0.75":{"weak":["cudnn >=9.3.0.75,<10.0a0"]},"9.7.1.26":{"weak":["cudnn >=9.7.1.26,<10.0a0"]},"9.8.0.87":{"weak":["cudnn >=9.8.0.87,<10.0a0"]},"9.9.0.52":{"weak":["cudnn >=9.9.0.52,<10.0a0"]}},"source_url":"file:///jenkins/workspace/nvidia/conda/cudnn-builder/files/cudnn-11.0-linux-x64-v8.0.4.30.tgz","subdirs":["linux-64","linux-aarch64","win-64"],"summary":"NVIDIA's cuDNN deep neural network acceleration library","text_prefix":false,"timestamp":1743888491,"version":"9.23.1.3"},"cudnn-jit":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"NVIDIA CUDA Deep Neural Network (cuDNN) is a GPU-accelerated library of primitives for deep neural networks. It provides highly tuned implementations of routines arising frequently in DNN applications.  License Agreements:- The packages are governed by the NVIDIA cuDNN Software License Agreement (EULA). By downloading and using the packages, you accept the terms and conditions of the NVIDIA cuDNN EULA - https://docs.nvidia.com/deeplearning/cudnn/sla/index.html","dev_url":"https://developer.nvidia.com/rdp/cudnn-download","doc_url":"https://docs.nvidia.com/deeplearning/cudnn/","home":"https://developer.nvidia.com/cudnn","license":"LicenseRef-cuDNN-Software-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","win-64"],"summary":"NVIDIA's cuDNN deep neural network acceleration library","text_prefix":false,"timestamp":1752353934,"version":"9.23.1.3"},"cuopt":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"home":"https://docs.nvidia.com/cuopt/introduction.html","license":"Apache-2.0","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64"],"summary":"cuOpt - GPU Combinatorial Optimization","text_prefix":false,"timestamp":1781045061,"version":"26.06.00"},"cuopt-mps-parser":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"home":"https://docs.nvidia.com/cuopt/introduction.html","license":"Apache-2.0","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64"],"summary":"cuOpt - GPU Combinatorial Optimization","text_prefix":false,"timestamp":1775769707,"version":"26.04.00"},"cuopt-server":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"home":"https://docs.nvidia.com/cuopt/introduction.html","license":"Apache-2.0","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64"],"summary":"cuOpt Microserver - GPU Combinatorial Optimization","text_prefix":false,"timestamp":1781045199,"version":"26.06.00"},"cuopt-sh-client":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"home":"https://docs.nvidia.com/cuopt/introduction.html","license":"Apache-2.0","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64"],"summary":"A Python client and command-line   utility for CuOpt managed service","text_prefix":true,"timestamp":1781045204,"version":"26.06.00"},"cupti":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"The NVIDIA CUDA Toolkit provides a comprehensive development environment for C and C++ developers building GPU-accelerated applications. The CUDA Toolkit ncludes a compiler for NVIDIA GPUs, math libraries, and tools for debugging and optimizing the performance of your applications.","doc_url":"https://docs.nvidia.com/cupti/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"proprietary - Nvidia","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64"],"summary":"development environment for GPU-accelerated applications, CUPTI components","text_prefix":false,"timestamp":1581676106,"version":"10.2.89"},"cuquantum":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"NVIDIA cuQuantum SDK is a high-performance library for quantum information science and beyond. Currently its primary target is quantum circuit simulations and it contains the major component:   - cuStateVec: a high-performance library for state vector computations   - cuTensorNet: a high-performance library for tensor network computations License Agreements:- The packages are governed by the NVIDIA cuQuantum Software License Agreement (EULA). By downloading and using the packages, you accept the terms and conditions of the NVIDIA cuQuantum EULA - https://docs.nvidia.com/cuda/cuquantum/license.html","dev_url":"https://developer.nvidia.com/cuquantum-downloads","doc_url":"https://docs.nvidia.com/cuda/cuquantum/index.html","home":"https://developer.nvidia.com/cuquantum-sdk","license":"LicenseRef-cuQuantum-Software-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"source_url":"/jenkins/agent/cia-jenkins-master-03.nvidia.com/workspace/fragments/conda/conda-component-cuquantum@2/conda/build/cuquantum-linux-x86_64-22.03.0.40-archive.tar.xz","subdirs":["linux-64","linux-aarch64","linux-ppc64le"],"summary":"cuQuantum SDK: A High-Performance Library for Accelerating Quantum Information Science","text_prefix":false,"timestamp":1689849865,"version":"26.03.2.11"},"cuquantum-cuda-11":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le"],"text_prefix":false,"timestamp":1689849841,"version":"25.06.0.10"},"cuquantum-cuda-12":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le"],"text_prefix":false,"timestamp":1722266979,"version":"26.03.2.11"},"cuquantum-cuda-13":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64"],"text_prefix":false,"timestamp":1775511144,"version":"26.03.2.11"},"cusolvermp":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"NVIDIA cuSOLVERMp is a high-performance, distributed-memory, GPU-accelerated library that provides tools for the solution of dense linear systems and eigenvalue problems. cuSOLVERMp is compatible with 2D block-cyclic data layout and provides ScaLAPACK-like C APIs. A companion library, CAL, contains utilities to manage communicators and to synchronize processes in a safe way.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["noarch"],"summary":"Meta-package containing all NVIDIA cuSOLVERMp packages, not intended for use in a conda-build context.","text_prefix":false,"timestamp":1775510522,"version":"0.8.0"},"cusparselt":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"This is a runtime package only. Developers should install cusparselt-dev to build with cuSPARSELt.","license":"LicenseRef-cuSPARSELt-Software-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","win-64"],"summary":"The NVIDIA cuSPARSELt runtime library","text_prefix":false,"timestamp":1776409425,"version":"0.9.1.1"},"cusparselt-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"NVIDIA cuSPARSELt is a high-performance CUDA library dedicated to general matrix-matrix operations in which at least one operand is a structured sparse matrix with 50\\% sparsity. The cuSPARSELt APIs allow flexibility in the algorithm/operation selection, epilogue, and matrix characteristics, including memory layout, alignment, and data types. License Agreements:- The packages are governed by the NVIDIA cuSPARSELt Software License Agreement (EULA). By downloading and using the packages, you accept the terms and conditions of the NVIDIA cuSPARSELt EULA - https://docs.nvidia.com/cuda/cusparselt/license.html","dev_url":"https://developer.nvidia.com/cusparselt/downloads","doc_url":"https://docs.nvidia.com/cuda/cusparselt/index.html","home":"https://developer.nvidia.com/cusparse","license":"LicenseRef-cuSPARSELt-Software-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"0.7.1.0":{"weak":["cusparselt >=0.7.1.0,<0.7.2.0a0"]},"0.8.0.4":{"weak":["cusparselt >=0.8.0.4,<0.8.1.0a0"]},"0.8.1.1":{"weak":["cusparselt >=0.8.1.1,<0.8.2.0a0"]},"0.9.0.3":{"weak":["cusparselt >=0.9.0.3,<0.9.1.0a0"]},"0.9.1.1":{"weak":["cusparselt >=0.9.1.1,<0.9.2.0a0"]}},"subdirs":["linux-64","linux-aarch64","win-64"],"summary":"Basic Linear Algebra for Sparse Matrices on NVIDIA GPUs","text_prefix":false,"timestamp":1776409498,"version":"0.9.1.1"},"cutensor":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"text_prefix":false,"timestamp":1700292601,"version":"2.7.0"},"cutensor-cuda-11":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"text_prefix":false,"timestamp":1678128247,"version":"2.2.0"},"cutensor-cuda-12":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"text_prefix":false,"timestamp":1673976835,"version":"2.7.0"},"cutensor-cuda-13":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","win-64"],"text_prefix":false,"timestamp":1780797426,"version":"2.7.0"},"gds-tools":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"The cuFile library provides a direct data path between GPU memory and storage.","doc_url":"https://docs.nvidia.com/gpudirect-storage/api-reference-guide/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64"],"summary":"Library for NVIDIA GPUDirect Storage","text_prefix":false,"timestamp":1710369556,"version":"1.18.0.66"},"holoscan":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"NVIDIA Holoscan python bindings","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64"],"summary":"NVIDIA Holoscan python bindings","text_prefix":false,"timestamp":1750968428,"version":"3.4.0.2"},"libcal":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"NVIDIA cuBLASMp is a high performance, multi-process, GPU accelerated library for distributed basic dense linear algebra. cuBLASMp is compatible with 2D block-cyclic data layout and provides PBLAS-like C APIs. A companion library, CAL, contains utilities to manage communicators and to synchronize processes in a safe way.","doc_url":"https://docs.nvidia.com/cuda/cublas/","home":"https://docs.nvidia.com/cuda/cublasmp/","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"0.4.4.50":{"weak":["libcal >=0.4.4.50,<1.0a0"]}},"subdirs":["linux-64","linux-aarch64"],"summary":"NVIDIA cuBLASMp is a high performance, multi-process, GPU accelerated library for distributed basic dense linear algebra.","text_prefix":false,"timestamp":1741052559,"version":"0.4.4.50"},"libcal-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"NVIDIA cuBLASMp is a high performance, multi-process, GPU accelerated library for distributed basic dense linear algebra. cuBLASMp is compatible with 2D block-cyclic data layout and provides PBLAS-like C APIs. A companion library, CAL, contains utilities to manage communicators and to synchronize processes in a safe way.","doc_url":"https://docs.nvidia.com/cuda/cublas/","home":"https://docs.nvidia.com/cuda/cublasmp/","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"0.4.4.50":{"weak":["libcal >=0.4.4.50,<1.0a0"]}},"subdirs":["linux-64","linux-aarch64"],"summary":"NVIDIA cuBLASMp is a high performance, multi-process, GPU accelerated library for distributed basic dense linear algebra.","text_prefix":false,"timestamp":1741052575,"version":"0.4.4.50"},"libcublas":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"The cuBLAS Library provides a GPU-accelerated implementation of the basic linear algebra subroutines (BLAS).","doc_url":"https://docs.nvidia.com/cuda/cublas/","home":"https://developer.nvidia.com/cublas","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"source_url":"/jenkins/agent/cia-jenkins-master-03.nvidia.com/workspace/fragments/conda/conda-component-libcublas/conda/build/libcublas-linux-x86_64-11.7.3.1.tar.gz","subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"An implementation of BLAS (Basic Linear Algebra Subprograms) on top of the NVIDIA CUDA runtime.","text_prefix":true,"timestamp":1662505126,"version":"13.5.1.27"},"libcublas-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"The cuBLAS Library provides a GPU-accelerated implementation of the basic linear algebra subroutines (BLAS).","doc_url":"https://docs.nvidia.com/cuda/cublas/","home":"https://developer.nvidia.com/cublas","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"12.5.2.13":{"weak":["libcublas >=12.5.2.13,<13.0a0"]},"12.5.3.2":{"weak":["libcublas >=12.5.3.2,<13.0a0"]},"12.6.0.22":{"weak":["libcublas >=12.6.0.22,<13.0a0"]},"12.6.1.4":{"weak":["libcublas >=12.6.1.4,<13.0a0"]},"12.6.3.3":{"weak":["libcublas >=12.6.3.3,<13.0a0"]},"12.6.4.1":{"weak":["libcublas >=12.6.4.1,<13.0a0"]},"12.8.3.14":{"weak":["libcublas >=12.8.3.14,<13.0a0"]},"12.8.4.1":{"weak":["libcublas >=12.8.4.1,<13.0a0"]},"12.8.5.5":{"weak":["libcublas >=12.8.5.5,<13.0a0"]},"12.9.0.13":{"weak":["libcublas >=12.9.0.13,<13.0a0"]},"12.9.1.4":{"weak":["libcublas >=12.9.1.4,<13.0a0"]},"12.9.2.10":{"weak":["libcublas >=12.9.2.10,<13.0a0"]},"13.0.0.19":{"weak":["libcublas >=13.0.0.19,<14.0a0"]},"13.0.2.14":{"weak":["libcublas >=13.0.2.14,<14.0a0"]},"13.1.0.3":{"weak":["libcublas >=13.1.0.3,<14.0a0"]},"13.1.1.3":{"weak":["libcublas >=13.1.1.3,<14.0a0"]},"13.2.0.9":{"weak":["libcublas >=13.2.0.9,<14.0a0"]},"13.2.1.1":{"weak":["libcublas >=13.2.1.1,<14.0a0"]},"13.2.2.2":{"weak":["libcublas >=13.2.2.2,<14.0a0"]},"13.3.0.5":{"weak":["libcublas >=13.3.0.5,<14.0a0"]},"13.4.0.1":{"weak":["libcublas >=13.4.0.1,<14.0a0"]},"13.5.1.27":{"weak":["libcublas >=13.5.1.27,<14.0a0"]}},"source_url":"/jenkins/agent/cia-jenkins-master-03.nvidia.com/workspace/fragments/conda/conda-component-libcublas/conda/build/libcublas-linux-x86_64-11.7.3.1.tar.gz","subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"An implementation of BLAS (Basic Linear Algebra Subprograms) on top of the NVIDIA CUDA runtime.","text_prefix":true,"timestamp":1657809845,"version":"13.5.1.27"},"libcublas-static":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"The cuBLAS Library provides a GPU-accelerated implementation of the basic linear algebra subroutines (BLAS).","doc_url":"https://docs.nvidia.com/cuda/cublas/","home":"https://developer.nvidia.com/cublas","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le"],"summary":"An implementation of BLAS (Basic Linear Algebra Subprograms) on top of the NVIDIA CUDA runtime.","text_prefix":false,"timestamp":1670041060,"version":"13.5.1.27"},"libcublasmp":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"NVIDIA cuBLASMp is a high performance, multi-process, GPU accelerated library for distributed basic dense linear algebra. cuBLASMp is compatible with 2D block-cyclic data layout and provides PBLAS-like C APIs.","doc_url":"https://docs.nvidia.com/cuda/cublasmp/","home":"https://docs.nvidia.com/cuda/cublasmp/","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"0.3.0.620":{"weak":["libcublasmp >=0.3.0.620,<1.0a0"]},"0.3.1.663":{"weak":["libcublasmp >=0.3.1.663,<1.0a0"]},"0.4.0.789":{"weak":["libcublasmp >=0.4.0.789,<1.0a0"]},"0.5.0.898":{"weak":["libcublasmp >=0.5.0.898,<1.0a0"]},"0.5.1.65":{"weak":["libcublasmp >=0.5.1.65,<1.0a0"]},"0.6.0.84":{"weak":["libcublasmp >=0.6.0.84,<1.0a0"]},"0.7.0.125":{"weak":["libcublasmp >=0.7.0.125,<1.0a0"]},"0.8.0.2023":{"weak":["libcublasmp >=0.8.0.2023,<0.9.0a0"]},"0.8.1.2360":{"weak":["libcublasmp >=0.8.1.2360,<0.9.0a0"]},"0.9.0.2693":{"weak":["libcublasmp >=0.9.0.2693,<0.10.0a0"]},"0.9.1.3056":{"weak":["libcublasmp >=0.9.1.3056,<0.10.0a0"]}},"subdirs":["linux-64","linux-aarch64"],"summary":"NVIDIA cuBLASMp is a high performance, multi-process, GPU accelerated library for distributed basic dense linear algebra.","text_prefix":false,"timestamp":1779204001,"version":"0.9.1.3056"},"libcublasmp-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"NVIDIA cuBLASMp is a high performance, multi-process, GPU accelerated library for distributed basic dense linear algebra. cuBLASMp is compatible with 2D block-cyclic data layout and provides PBLAS-like C APIs.","doc_url":"https://docs.nvidia.com/cuda/cublasmp/","home":"https://docs.nvidia.com/cuda/cublasmp/","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"0.3.0.620":{"weak":["libcublasmp >=0.3.0.620,<1.0a0"]},"0.3.1.663":{"weak":["libcublasmp >=0.3.1.663,<1.0a0"]},"0.4.0.789":{"weak":["libcublasmp >=0.4.0.789,<1.0a0"]},"0.5.0.898":{"weak":["libcublasmp >=0.5.0.898,<1.0a0"]},"0.5.1.65":{"weak":["libcublasmp >=0.5.1.65,<1.0a0"]},"0.6.0.84":{"weak":["libcublasmp >=0.6.0.84,<1.0a0"]},"0.7.0.125":{"weak":["libcublasmp >=0.7.0.125,<1.0a0"]},"0.8.0.2023":{"weak":["libcublasmp >=0.8.0.2023,<1.0a0"]},"0.8.1.2360":{"weak":["libcublasmp >=0.8.1.2360,<1.0a0"]},"0.9.0.2693":{"weak":["libcublasmp >=0.9.0.2693,<1.0a0"]},"0.9.1.3056":{"weak":["libcublasmp >=0.9.1.3056,<1.0a0"]}},"subdirs":["linux-64","linux-aarch64"],"summary":"NVIDIA cuBLASMp is a high performance, multi-process, GPU accelerated library for distributed basic dense linear algebra.","text_prefix":false,"timestamp":1779204050,"version":"0.9.1.3056"},"libcudla":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"cuDLA is an extension of the CUDA programming model to encompass DLA work as well. It provides familiar CUDA programming model to work with DLA, reduces SW complexity (without need for EGLStreams) to interoperate between DLA \u2013 GPU for your inference pipelines.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-aarch64"],"summary":"CUDA Deep Learning Accelerator(DLA)","text_prefix":false,"timestamp":1776485047,"version":"13.3.29"},"libcudla-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"cuDLA is an extension of the CUDA programming model to encompass DLA work as well. It provides familiar CUDA programming model to work with DLA, reduces SW complexity (without need for EGLStreams) to interoperate between DLA \u2013 GPU for your inference pipelines.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"13.2.51":{"weak":["libcudla >=13.2.51,<14.0a0"]},"13.2.75":{"weak":["libcudla >=13.2.75,<14.0a0"]},"13.3.29":{"weak":["libcudla >=13.3.29,<14.0a0"]}},"subdirs":["linux-aarch64"],"summary":"CUDA Deep Learning Accelerator(DLA)","text_prefix":true,"timestamp":1776485093,"version":"13.3.29"},"libcudnn":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"NVIDIA CUDA Deep Neural Network (cuDNN) is a GPU-accelerated library of primitives for deep neural networks. It provides highly tuned implementations of routines arising frequently in DNN applications.  License Agreements:- The packages are governed by the NVIDIA cuDNN Software License Agreement (EULA). By downloading and using the packages, you accept the terms and conditions of the NVIDIA cuDNN EULA - https://docs.nvidia.com/deeplearning/cudnn/sla/index.html","dev_url":"https://developer.nvidia.com/rdp/cudnn-download","doc_url":"https://docs.nvidia.com/deeplearning/cudnn/","home":"https://developer.nvidia.com/cudnn","license":"LicenseRef-cuDNN-Software-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","win-64"],"summary":"NVIDIA's cuDNN deep neural network acceleration library","text_prefix":false,"timestamp":1780924632,"version":"9.23.1.3"},"libcudnn-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"NVIDIA CUDA Deep Neural Network (cuDNN) is a GPU-accelerated library of primitives for deep neural networks. It provides highly tuned implementations of routines arising frequently in DNN applications.  License Agreements:- The packages are governed by the NVIDIA cuDNN Software License Agreement (EULA). By downloading and using the packages, you accept the terms and conditions of the NVIDIA cuDNN EULA - https://docs.nvidia.com/deeplearning/cudnn/sla/index.html","dev_url":"https://developer.nvidia.com/rdp/cudnn-download","doc_url":"https://docs.nvidia.com/deeplearning/cudnn/","home":"https://developer.nvidia.com/cudnn","license":"LicenseRef-cuDNN-Software-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"9.11.0.98":{"weak":["libcudnn >=9.11.0.98,<10.0a0"]},"9.11.1.4":{"weak":["libcudnn >=9.11.1.4,<10.0a0"]},"9.12.0.46":{"weak":["libcudnn >=9.12.0.46,<10.0a0"]},"9.13.0.50":{"weak":["libcudnn >=9.13.0.50,<10.0a0"]},"9.13.1.26":{"weak":["libcudnn >=9.13.1.26,<10.0a0"]},"9.14.0.64":{"weak":["libcudnn >=9.14.0.64,<10.0a0"]},"9.15.0.58":{"weak":["libcudnn >=9.15.0.58,<10.0a0"]},"9.15.1.9":{"weak":["libcudnn >=9.15.1.9,<10.0a0"]},"9.16.0.29":{"weak":["libcudnn >=9.16.0.29,<10.0a0"]},"9.17.0.29":{"weak":["libcudnn >=9.17.0.29,<10.0a0"]},"9.17.1.4":{"weak":["libcudnn >=9.17.1.4,<10.0a0"]},"9.18.0.77":{"weak":["libcudnn >=9.18.0.77,<10.0a0"]},"9.18.1.3":{"weak":["libcudnn >=9.18.1.3,<10.0a0"]},"9.19.0.56":{"weak":["libcudnn >=9.19.0.56,<10.0a0"]},"9.19.1.2":{"weak":["libcudnn >=9.19.1.2,<10.0a0"]},"9.20.0.48":{"weak":["libcudnn >=9.20.0.48,<10.0a0"]},"9.21.0.82":{"weak":["libcudnn >=9.21.0.82,<10.0a0"]},"9.21.1.3":{"weak":["libcudnn >=9.21.1.3,<10.0a0"]},"9.22.0.52":{"weak":["libcudnn >=9.22.0.52,<10.0a0"]},"9.23.1.3":{"weak":["libcudnn >=9.23.1.3,<10.0a0"]}},"subdirs":["linux-64","linux-aarch64","win-64"],"summary":"NVIDIA's cuDNN deep neural network acceleration library","text_prefix":false,"timestamp":1780924859,"version":"9.23.1.3"},"libcudnn-jit":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"This is a runtime package for Graph JIT configuration for NVIDIA's cuDNN deep neural network acceleration library. Developers should install libcudnn-jit-dev.","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","win-64"],"summary":"Graph JIT configuration for NVIDIA's cuDNN deep neural network acceleration library","text_prefix":false,"timestamp":1752353883,"version":"9.23.1.3"},"libcudnn-jit-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"This is a development package for Graph JIT configuration for NVIDIA's cuDNN deep neural network acceleration library","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"9.11.0.98":{"weak":["libcudnn-jit >=9.11.0.98,<10.0a0"]},"9.12.0.46":{"weak":["libcudnn-jit >=9.12.0.46,<10.0a0"]},"9.13.0.50":{"weak":["libcudnn-jit >=9.13.0.50,<10.0a0"]},"9.13.1.26":{"weak":["libcudnn-jit >=9.13.1.26,<10.0a0"]},"9.14.0.64":{"weak":["libcudnn-jit >=9.14.0.64,<10.0a0"]},"9.15.0.58":{"weak":["libcudnn-jit >=9.15.0.58,<10.0a0"]},"9.15.1.9":{"weak":["libcudnn-jit >=9.15.1.9,<10.0a0"]},"9.16.0.29":{"weak":["libcudnn-jit >=9.16.0.29,<10.0a0"]},"9.17.0.29":{"weak":["libcudnn-jit >=9.17.0.29,<10.0a0"]},"9.17.1.4":{"weak":["libcudnn-jit >=9.17.1.4,<10.0a0"]},"9.18.0.77":{"weak":["libcudnn-jit >=9.18.0.77,<10.0a0"]},"9.18.1.3":{"weak":["libcudnn-jit >=9.18.1.3,<10.0a0"]},"9.19.0.56":{"weak":["libcudnn-jit >=9.19.0.56,<10.0a0"]},"9.19.1.2":{"weak":["libcudnn-jit >=9.19.1.2,<10.0a0"]},"9.20.0.48":{"weak":["libcudnn-jit >=9.20.0.48,<10.0a0"]},"9.21.0.82":{"weak":["libcudnn-jit >=9.21.0.82,<10.0a0"]},"9.21.1.3":{"weak":["libcudnn-jit >=9.21.1.3,<10.0a0"]},"9.22.0.52":{"weak":["libcudnn-jit >=9.22.0.52,<10.0a0"]},"9.23.1.3":{"weak":["libcudnn-jit >=9.23.1.3,<10.0a0"]}},"subdirs":["linux-64","linux-aarch64","win-64"],"summary":"Graph JIT configuration for NVIDIA's cuDNN deep neural network acceleration library","text_prefix":false,"timestamp":1752353917,"version":"9.23.1.3"},"libcudss":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"This is a runtime package only. Developers should install libcudss-dev to build with cuDSS.","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","win-64"],"summary":"The NVIDIA cuDSS runtime library (with a pre-built threading layer for OpenMP).","text_prefix":false,"timestamp":1778017218,"version":"0.8.0.10"},"libcudss-commlayer-mpi":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"This is a runtime package only. Developers should install libcudss-dev to build with cuDSS.","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64"],"summary":"Install this package to enable MPI for cuDSS","text_prefix":false,"timestamp":1778017605,"version":"0.8.0.10"},"libcudss-commlayer-mpi0":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"This is a runtime package only. Users should install the corresponding meta-package instead. Developers should install libcudss-dev to build with cuDSS.","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64"],"summary":"The NVIDIA cuDSS MPI runtime module.","text_prefix":false,"timestamp":1736808765,"version":"0.4.0.2"},"libcudss-commlayer-nccl":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"This is a runtime package only. Developers should install libcudss-dev to build with cuDSS.","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64"],"summary":"Install this package to enable NCCL for cuDSS","text_prefix":false,"timestamp":1778017695,"version":"0.8.0.10"},"libcudss-commlayer-nccl0":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"This is a runtime package only. Users should install the corresponding meta-package instead. Developers should install libcudss-dev to build with cuDSS.","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64"],"summary":"The NVIDIA cuDSS NCCL runtime module.","text_prefix":false,"timestamp":1736808804,"version":"0.4.0.2"},"libcudss-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"NVIDIA cuDSS is an optimized, first-generation GPU-accelerated Direct Sparse Solver library for solving linear systems with sparse matrices. Direct Sparse Solvers are an important part of numerical computing as they provide a general robust way of solving large linear systems without and are capable of taking advantage of both high compute throughput and memory bandwidth of the GPUs.","doc_url":"https://docs.nvidia.com/cuda/cudss/","home":"https://developer.nvidia.com/cudss","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"0.4.0.2":{"weak":["libcudss0 >=0.4.0.2,<0.4.1.0a0"]},"0.5.0.16":{"weak":["libcudss >=0.5.0.16,<0.5.1.0a0"]},"0.6.0.5":{"weak":["libcudss >=0.6.0.5,<0.6.1.0a0"]},"0.7.0.20":{"weak":["libcudss >=0.7.0.20,<0.7.1.0a0"]},"0.7.1.4":{"weak":["libcudss >=0.7.1.4,<0.7.2.0a0"]},"0.8.0.10":{"weak":["libcudss >=0.8.0.10,<0.8.1.0a0"]}},"subdirs":["linux-64","linux-aarch64","win-64"],"summary":"The NVIDIA cuDSS development package.","text_prefix":false,"timestamp":1778017293,"version":"0.8.0.10"},"libcudss-examples":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"This package is examples only. Developers should install libcudss-dev to build with cuDSS.","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["noarch"],"summary":"The NVIDIA cuDSS examples package.","text_prefix":false,"timestamp":1736808774,"version":"0.4.0.2"},"libcudss0":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"This is a runtime package only. Developers should install libcudss-dev to build with cuDSS.","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"0.4.0.2":{"weak":["libcudss0 >=0.4.0.2,<0.4.1.0a0"]}},"subdirs":["linux-64","linux-aarch64","win-64"],"summary":"The NVIDIA cuDSS runtime library.","text_prefix":false,"timestamp":1736808836,"version":"0.4.0.2"},"libcuest":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Fast, GPU-powered components for electronic structure theory","doc_url":"https://docs.nvidia.com/cuda/cuest/","home":"https://developer.nvidia.com/cuest","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64"],"summary":"cuEST - GPU-powered electronic structure theory","text_prefix":false,"timestamp":1778178824,"version":"0.1.1.1"},"libcuest-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Fast, GPU-powered components for electronic structure theory","doc_url":"https://docs.nvidia.com/cuda/cuest/","home":"https://developer.nvidia.com/cuest","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"0.1.0.7":{"weak":["libcuest >=0.1.0.7,<0.2.0a0"]},"0.1.1.1":{"weak":["libcuest >=0.1.1.1,<0.2.0a0"]}},"subdirs":["linux-64","linux-aarch64"],"summary":"cuEST - GPU-powered electronic structure theory","text_prefix":false,"timestamp":1778178940,"version":"0.1.1.1"},"libcuest-static":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Fast, GPU-powered components for electronic structure theory","doc_url":"https://docs.nvidia.com/cuda/cuest/","home":"https://developer.nvidia.com/cuest","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64"],"summary":"cuEST - GPU-powered electronic structure theory","text_prefix":false,"timestamp":1778178992,"version":"0.1.1.1"},"libcufft":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"The cuFFT library provides GPU-accelerated Fast Fourier Transform (FFT) implementations.","doc_url":"https://docs.nvidia.com/cuda/cufft/","home":"https://developer.nvidia.com/cufft","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"source_url":"/jenkins/agent/cia-jenkins-master-03.nvidia.com/workspace/fragments/conda/conda-component-libcufft/conda/build/libcufft-linux-x86_64-10.7.2.124-archive.tar.xz","subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"cuFFT native runtime libraries","text_prefix":true,"timestamp":1656992764,"version":"12.3.0.29"},"libcufft-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"The cuFFT library provides GPU-accelerated Fast Fourier Transform (FFT) implementations.","doc_url":"https://docs.nvidia.com/cuda/cufft/","home":"https://developer.nvidia.com/cufft","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"11.2.3.18":{"weak":["libcufft >=11.2.3.18,<12.0a0"]},"11.2.3.61":{"weak":["libcufft >=11.2.3.61,<12.0a0"]},"11.2.6.28":{"weak":["libcufft >=11.2.6.28,<12.0a0"]},"11.2.6.59":{"weak":["libcufft >=11.2.6.59,<12.0a0"]},"11.3.0.4":{"weak":["libcufft >=11.3.0.4,<12.0a0"]},"11.3.3.41":{"weak":["libcufft >=11.3.3.41,<12.0a0"]},"11.3.3.83":{"weak":["libcufft >=11.3.3.83,<12.0a0"]},"11.4.0.6":{"weak":["libcufft >=11.4.0.6,<12.0a0"]},"11.4.1.4":{"weak":["libcufft >=11.4.1.4,<12.0a0"]},"12.0.0.15":{"weak":["libcufft >=12.0.0.15,<13.0a0"]},"12.0.0.61":{"weak":["libcufft >=12.0.0.61,<13.0a0"]},"12.1.0.31":{"weak":["libcufft >=12.1.0.31,<13.0a0"]},"12.1.0.78":{"weak":["libcufft >=12.1.0.78,<13.0a0"]},"12.2.0.37":{"weak":["libcufft >=12.2.0.37,<13.0a0"]},"12.2.0.46":{"weak":["libcufft >=12.2.0.46,<13.0a0"]},"12.3.0.29":{"weak":["libcufft >=12.3.0.29,<13.0a0"]}},"source_url":"/jenkins/agent/cia-jenkins-master-03.nvidia.com/workspace/fragments/conda/conda-component-libcufft/conda/build/libcufft-linux-x86_64-10.6.0.54.tar.gz","subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"cuFFT native runtime libraries","text_prefix":true,"timestamp":1723664500,"version":"12.3.0.29"},"libcufft-static":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"The cuFFT library provides GPU-accelerated Fast Fourier Transform (FFT) implementations.","doc_url":"https://docs.nvidia.com/cuda/cufft/","home":"https://developer.nvidia.com/cufft","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le"],"summary":"cuFFT native runtime libraries","text_prefix":false,"timestamp":1709084888,"version":"12.3.0.29"},"libcufftmp":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"The multi-node FFT functionality, available through the cuFFTMp API, enables scientists and engineers to solve distributed 2D and 3D FFTs in exascale problems. The library handles all the communications between machines, allowing users to focus on other aspects of their problems.","doc_url":"https://docs.nvidia.com/cuda/cufftmp/","home":"https://docs.nvidia.com/cuda/cufftmp/","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64"],"summary":"The NVIDIA cuFFTMp (cuFFT Multi-process) library","text_prefix":false,"timestamp":1762544306,"version":"12.1.3.2"},"libcufftmp-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"The multi-node FFT functionality, available through the cuFFTMp API, enables scientists and engineers to solve distributed 2D and 3D FFTs in exascale problems. The library handles all the communications between machines, allowing users to focus on other aspects of their problems.","doc_url":"https://docs.nvidia.com/cuda/cufftmp/","home":"https://docs.nvidia.com/cuda/cufftmp/","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"11.4.0.6":{"weak":["libcufftmp >=11.4.0.6"]},"12.1.3.2":{"weak":["libcufftmp >=12.1.3.2"]}},"subdirs":["linux-64","linux-aarch64"],"summary":"The NVIDIA cuFFTMp (cuFFT Multi-process) library","text_prefix":false,"timestamp":1762544768,"version":"12.1.3.2"},"libcufile":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"The cuFile library provides a direct data path between GPU memory and storage.","doc_url":"https://docs.nvidia.com/gpudirect-storage/api-reference-guide/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64"],"summary":"Library for NVIDIA GPUDirect Storage","text_prefix":false,"timestamp":1689052667,"version":"1.18.0.66"},"libcufile-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"The cuFile library provides a direct data path between GPU memory and storage.","doc_url":"https://docs.nvidia.com/gpudirect-storage/api-reference-guide/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"1.10.0.4":{"weak":["libcufile >=1.10.0.4,<2.0a0"]},"1.10.1.7":{"weak":["libcufile >=1.10.1.7,<2.0a0"]},"1.11.0.15":{"weak":["libcufile >=1.11.0.15,<2.0a0"]},"1.11.1.6":{"weak":["libcufile >=1.11.1.6,<2.0a0"]},"1.13.0.11":{"weak":["libcufile >=1.13.0.11,<2.0a0"]},"1.13.1.3":{"weak":["libcufile >=1.13.1.3,<2.0a0"]},"1.14.0.30":{"weak":["libcufile >=1.14.0.30,<2.0a0"]},"1.14.1.1":{"weak":["libcufile >=1.14.1.1,<2.0a0"]},"1.15.0.42":{"weak":["libcufile >=1.15.0.42,<2.0a0"]},"1.15.1.6":{"weak":["libcufile >=1.15.1.6,<2.0a0"]},"1.16.0.49":{"weak":["libcufile >=1.16.0.49,<2.0a0"]},"1.16.1.26":{"weak":["libcufile >=1.16.1.26,<2.0a0"]},"1.17.0.44":{"weak":["libcufile >=1.17.0.44,<2.0a0"]},"1.17.1.22":{"weak":["libcufile >=1.17.1.22,<2.0a0"]},"1.18.0.66":{"weak":["libcufile >=1.18.0.66,<2.0a0"]}},"subdirs":["linux-64","linux-aarch64"],"summary":"Library for NVIDIA GPUDirect Storage","text_prefix":true,"timestamp":1720732759,"version":"1.18.0.66"},"libcufile-static":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"The cuFile library provides a direct data path between GPU memory and storage.","doc_url":"https://docs.nvidia.com/gpudirect-storage/api-reference-guide/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64"],"summary":"Library for NVIDIA GPUDirect Storage","text_prefix":false,"timestamp":1710369608,"version":"1.18.0.66"},"libcugraphops":{"activate.d":false,"binary_prefix":true,"deactivate.d":false,"home":"https://rapids.ai/","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"source_git_url":"../../..","subdirs":["linux-64","linux-aarch64"],"summary":"libcugraphOps library","text_prefix":false,"timestamp":1691614063,"version":"24.08.01"},"libcugraphops-tests":{"activate.d":false,"binary_prefix":true,"deactivate.d":false,"home":"https://rapids.ai/","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"source_git_url":"../../..","subdirs":["linux-64","linux-aarch64"],"summary":"libcugraphOps tests","text_prefix":false,"timestamp":1665594479,"version":"22.12.00"},"libcumlmg":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"home":"http://rapids.ai/","license":"LICENSE AGREEMENT FOR NVIDIA SOFTWARE DEVELOPMENT KITS","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64"],"summary":"libcumlMG library","text_prefix":false,"timestamp":1553890273,"version":"0.0.0.dev0"},"libcumlprims":{"activate.d":false,"binary_prefix":true,"deactivate.d":false,"home":"https://rapids.ai/","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"source_git_url":"/__w/cumlprims_mg/cumlprims_mg","subdirs":["linux-64","linux-aarch64"],"summary":"libcuMLPrims library","text_prefix":false,"timestamp":1681324919,"version":"24.08.00"},"libcuobjclient":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"cuObject (GPUDirect Storage for Objects) is a high performance suite of libraries designed to enable direct data transfers between GPU memory or system memory and S3 compatible object storage using RDMA","doc_url":"https://docs.nvidia.com/gpudirect-storage/cuobject/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64"],"summary":"Library for NVIDIA GPUDirect Storage for Objects","text_prefix":false,"timestamp":1775714192,"version":"1.2.0.59"},"libcuobjclient-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"cuObject (GPUDirect Storage for Objects) is a high performance suite of libraries designed to enable direct data transfers between GPU memory or system memory and S3 compatible object storage using RDMA","doc_url":"https://docs.nvidia.com/gpudirect-storage/cuobject/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"1.1.0.44":{"weak":["libcuobjclient >=1.1.0.44,<2.0a0"]},"1.1.1.22":{"weak":["libcuobjclient >=1.1.1.22,<2.0a0"]},"1.2.0.59":{"weak":["libcuobjclient >=1.2.0.59,<2.0a0"]}},"subdirs":["linux-64","linux-aarch64"],"summary":"Library for NVIDIA GPUDirect Storage for Objects","text_prefix":true,"timestamp":1775714240,"version":"1.2.0.59"},"libcuopt":{"activate.d":false,"binary_prefix":true,"deactivate.d":false,"home":"https://docs.nvidia.com/cuopt/introduction.html","license":"Apache-2.0","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64"],"summary":"cuOpt - GPU Combinatorial Optimization","text_prefix":true,"timestamp":1781042965,"version":"26.06.00"},"libcuopt-tests":{"activate.d":false,"binary_prefix":true,"deactivate.d":false,"home":"https://docs.nvidia.com/cuopt/introduction.html","license":"Apache-2.0","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64"],"summary":"libcuopt test & benchmark executables","text_prefix":false,"timestamp":1781042965,"version":"26.06.00"},"libcuquantum-cuda-11":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"NVIDIA cuQuantum SDK is a high-performance library for quantum information science and beyond. Currently its primary target is quantum circuit simulations and it contains the major component:   - cuStateVec: a high-performance library for state vector computations   - cuTensorNet: a high-performance library for tensor network computations License Agreements:- The packages are governed by the NVIDIA cuQuantum Software License Agreement (EULA). By downloading and using the packages, you accept the terms and conditions of the NVIDIA cuQuantum EULA - https://docs.nvidia.com/cuda/cuquantum/license.html","dev_url":"https://developer.nvidia.com/cuquantum-downloads","doc_url":"https://docs.nvidia.com/cuda/cuquantum/index.html","home":"https://developer.nvidia.com/cuquantum-sdk","license":"LicenseRef-cuQuantum-Software-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le"],"summary":"cuQuantum SDK: A High-Performance Library for Accelerating Quantum Information Science","text_prefix":false,"timestamp":1680201666,"version":"25.06.0.10"},"libcuquantum-cuda-12":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"NVIDIA cuQuantum SDK is a high-performance library for quantum information science and beyond. Currently its primary target is quantum circuit simulations and it contains the major component:   - cuStateVec: a high-performance library for state vector computations   - cuTensorNet: a high-performance library for tensor network computations License Agreements:- The packages are governed by the NVIDIA cuQuantum Software License Agreement (EULA). By downloading and using the packages, you accept the terms and conditions of the NVIDIA cuQuantum EULA - https://docs.nvidia.com/cuda/cuquantum/license.html","dev_url":"https://developer.nvidia.com/cuquantum-downloads","doc_url":"https://docs.nvidia.com/cuda/cuquantum/index.html","home":"https://developer.nvidia.com/cuquantum-sdk","license":"LicenseRef-cuQuantum-Software-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le"],"summary":"cuQuantum SDK: A High-Performance Library for Accelerating Quantum Information Science","text_prefix":false,"timestamp":1680201695,"version":"26.03.2.11"},"libcuquantum-cuda-13":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"NVIDIA cuQuantum SDK is a high-performance library for quantum information science and beyond. Currently its primary target is quantum circuit simulations and it contains the major component:   - cuStateVec: a high-performance library for state vector computations   - cuTensorNet: a high-performance library for tensor network computations License Agreements:- The packages are governed by the NVIDIA cuQuantum Software License Agreement (EULA). By downloading and using the packages, you accept the terms and conditions of the NVIDIA cuQuantum EULA - https://docs.nvidia.com/cuda/cuquantum/license.html","dev_url":"https://developer.nvidia.com/cuquantum-downloads","doc_url":"https://docs.nvidia.com/cuda/cuquantum/index.html","home":"https://developer.nvidia.com/cuquantum-sdk","license":"LicenseRef-cuQuantum-Software-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64"],"summary":"cuQuantum SDK: A High-Performance Library for Accelerating Quantum Information Science","text_prefix":false,"timestamp":1775509337,"version":"26.03.2.11"},"libcuquantum-dev-cuda-11":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"NVIDIA cuQuantum SDK is a high-performance library for quantum information science and beyond. Currently its primary target is quantum circuit simulations and it contains the major component:   - cuStateVec: a high-performance library for state vector computations   - cuTensorNet: a high-performance library for tensor network computations License Agreements:- The packages are governed by the NVIDIA cuQuantum Software License Agreement (EULA). By downloading and using the packages, you accept the terms and conditions of the NVIDIA cuQuantum EULA - https://docs.nvidia.com/cuda/cuquantum/license.html","dev_url":"https://developer.nvidia.com/cuquantum-downloads","doc_url":"https://docs.nvidia.com/cuda/cuquantum/index.html","home":"https://developer.nvidia.com/cuquantum-sdk","license":"LicenseRef-cuQuantum-Software-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le"],"summary":"cuQuantum SDK: A High-Performance Library for Accelerating Quantum Information Science","text_prefix":false,"timestamp":1689814609,"version":"25.06.0.10"},"libcuquantum-dev-cuda-12":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"NVIDIA cuQuantum SDK is a high-performance library for quantum information science and beyond. Currently its primary target is quantum circuit simulations and it contains the major component:   - cuStateVec: a high-performance library for state vector computations   - cuTensorNet: a high-performance library for tensor network computations License Agreements:- The packages are governed by the NVIDIA cuQuantum Software License Agreement (EULA). By downloading and using the packages, you accept the terms and conditions of the NVIDIA cuQuantum EULA - https://docs.nvidia.com/cuda/cuquantum/license.html","dev_url":"https://developer.nvidia.com/cuquantum-downloads","doc_url":"https://docs.nvidia.com/cuda/cuquantum/index.html","home":"https://developer.nvidia.com/cuquantum-sdk","license":"LicenseRef-cuQuantum-Software-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le"],"summary":"cuQuantum SDK: A High-Performance Library for Accelerating Quantum Information Science","text_prefix":false,"timestamp":1689039368,"version":"26.03.2.11"},"libcuquantum-dev-cuda-13":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"NVIDIA cuQuantum SDK is a high-performance library for quantum information science and beyond. Currently its primary target is quantum circuit simulations and it contains the major component:   - cuStateVec: a high-performance library for state vector computations   - cuTensorNet: a high-performance library for tensor network computations License Agreements:- The packages are governed by the NVIDIA cuQuantum Software License Agreement (EULA). By downloading and using the packages, you accept the terms and conditions of the NVIDIA cuQuantum EULA - https://docs.nvidia.com/cuda/cuquantum/license.html","dev_url":"https://developer.nvidia.com/cuquantum-downloads","doc_url":"https://docs.nvidia.com/cuda/cuquantum/index.html","home":"https://developer.nvidia.com/cuquantum-sdk","license":"LicenseRef-cuQuantum-Software-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64"],"summary":"cuQuantum SDK: A High-Performance Library for Accelerating Quantum Information Science","text_prefix":false,"timestamp":1757045243,"version":"26.03.2.11"},"libcurand":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"cuRAND native runtime libraries","doc_url":"https://docs.nvidia.com/cuda/curand/","home":"https://developer.nvidia.com/curand","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"source_url":"/jenkins/agent/cia-jenkins-master-03.nvidia.com/workspace/fragments/conda/conda-component-libcurand@2/conda/build/libcurand-linux-x86_64-10.2.7.107.tar.gz","subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"cuRAND native runtime libraries","text_prefix":true,"timestamp":1682911870,"version":"10.4.3.29"},"libcurand-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"cuRAND native runtime libraries","doc_url":"https://docs.nvidia.com/cuda/curand/","home":"https://developer.nvidia.com/curand","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"10.3.10.19":{"weak":["libcurand >=10.3.10.19,<11.0a0"]},"10.3.6.39":{"weak":["libcurand >=10.3.6.39,<11.0a0"]},"10.3.6.82":{"weak":["libcurand >=10.3.6.82,<11.0a0"]},"10.3.7.37":{"weak":["libcurand >=10.3.7.37,<11.0a0"]},"10.3.7.68":{"weak":["libcurand >=10.3.7.68,<11.0a0"]},"10.3.7.77":{"weak":["libcurand >=10.3.7.77,<11.0a0"]},"10.3.9.55":{"weak":["libcurand >=10.3.9.55,<11.0a0"]},"10.3.9.90":{"weak":["libcurand >=10.3.9.90,<11.0a0"]},"10.4.0.35":{"weak":["libcurand >=10.4.0.35,<11.0a0"]},"10.4.1.34":{"weak":["libcurand >=10.4.1.34,<11.0a0"]},"10.4.1.81":{"weak":["libcurand >=10.4.1.81,<11.0a0"]},"10.4.2.51":{"weak":["libcurand >=10.4.2.51,<11.0a0"]},"10.4.2.55":{"weak":["libcurand >=10.4.2.55,<11.0a0"]},"10.4.3.29":{"weak":["libcurand >=10.4.3.29,<11.0a0"]}},"source_url":"/jenkins/agent/cia-jenkins-master-03.nvidia.com/workspace/fragments/conda/conda-component-libcurand@2/conda/build/libcurand-linux-x86_64-10.2.9.55.tar.gz","subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"cuRAND native runtime libraries","text_prefix":true,"timestamp":1692166919,"version":"10.4.3.29"},"libcurand-static":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"cuRAND native runtime libraries","doc_url":"https://docs.nvidia.com/cuda/curand/","home":"https://developer.nvidia.com/curand","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le"],"summary":"cuRAND native runtime libraries","text_prefix":false,"timestamp":1666683268,"version":"10.4.3.29"},"libcusolver":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"cuSOLVER - Direct Linear Solvers on NVIDIA GPUs","doc_url":"https://docs.nvidia.com/cuda/cusolver/","home":"https://developer.nvidia.com/cusolver","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"source_url":"/jenkins/agent/cia-jenkins-master-03.nvidia.com/workspace/fragments/conda/conda-component-libcusolver/conda/build/libcusolver-linux-x86_64-11.3.3.112.tar.gz","subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"CUDA Linear Solver Library","text_prefix":true,"timestamp":1717677936,"version":"12.2.2.18"},"libcusolver-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"cuSOLVER - Direct Linear Solvers on NVIDIA GPUs","doc_url":"https://docs.nvidia.com/cuda/cusolver/index.html","home":"https://developer.nvidia.com/cusolver","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"11.6.2.40":{"weak":["libcusolver >=11.6.2.40,<12.0a0"]},"11.6.3.83":{"weak":["libcusolver >=11.6.3.83,<12.0a0"]},"11.6.4.38":{"weak":["libcusolver >=11.6.4.38,<12.0a0"]},"11.6.4.69":{"weak":["libcusolver >=11.6.4.69,<12.0a0"]},"11.7.1.2":{"weak":["libcusolver >=11.7.1.2,<12.0a0"]},"11.7.2.55":{"weak":["libcusolver >=11.7.2.55,<12.0a0"]},"11.7.3.90":{"weak":["libcusolver >=11.7.3.90,<12.0a0"]},"11.7.4.40":{"weak":["libcusolver >=11.7.4.40,<12.0a0"]},"11.7.5.82":{"weak":["libcusolver >=11.7.5.82,<12.0a0"]},"12.0.3.29":{"weak":["libcusolver >=12.0.3.29,<13.0a0"]},"12.0.4.66":{"weak":["libcusolver >=12.0.4.66,<13.0a0"]},"12.0.7.41":{"weak":["libcusolver >=12.0.7.41,<13.0a0"]},"12.0.9.81":{"weak":["libcusolver >=12.0.9.81,<13.0a0"]},"12.1.0.51":{"weak":["libcusolver >=12.1.0.51,<13.0a0"]},"12.2.0.1":{"weak":["libcusolver >=12.2.0.1,<13.0a0"]},"12.2.2.18":{"weak":["libcusolver >=12.2.2.18,<13.0a0"]}},"source_url":"/jenkins/agent/cia-jenkins-master-03.nvidia.com/workspace/fragments/conda/conda-component-libcusolver/conda/build/libcusolver-linux-x86_64-11.2.1.48.tar.gz","subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"CUDA Linear Solver Library","text_prefix":true,"timestamp":1666673509,"version":"12.2.2.18"},"libcusolver-static":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"cuSOLVER - Direct Linear Solvers on NVIDIA GPUs","doc_url":"https://docs.nvidia.com/cuda/cusolver/index.html","home":"https://developer.nvidia.com/cusolver","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le"],"summary":"CUDA Linear Solver Library","text_prefix":false,"timestamp":1689085032,"version":"12.2.2.18"},"libcusolvermp-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"NVIDIA cuSOLVERMp is a high-performance, distributed-memory, GPU-accelerated library that provides tools for the solution of dense linear systems and eigenvalue problems. cuSOLVERMp is compatible with 2D block-cyclic data layout and provides ScaLAPACK-like C APIs.","doc_url":"https://docs.nvidia.com/cuda/cusolvermp/","home":"https://docs.nvidia.com/cuda/cusolvermp/","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"0.6.0.712":{"weak":["libcusolvermp0 >=0.6.0.712,<1.0a0"]},"0.7.0.833":{"weak":["libcusolvermp0 >=0.7.0.833,<1.0a0"]},"0.7.1.851":{"weak":["libcusolvermp0 >=0.7.1.851,<1.0a0"]},"0.7.2.888":{"weak":["libcusolvermp0 >=0.7.2.888,<1.0a0"]},"0.8.0.3126":{"weak":["libcusolvermp0 >=0.8.0.3126,<0.9.0a0"]}},"subdirs":["linux-64","linux-aarch64"],"summary":"NVIDIA cuSOLVERMp is a high-performance, distributed-memory, GPU-accelerated library that provides tools for the solution of dense linear systems and eigenvalue problems.","text_prefix":false,"timestamp":1775456221,"version":"0.8.0.3126"},"libcusolvermp0":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"NVIDIA cuSOLVERMp is a high-performance, distributed-memory, GPU-accelerated library that provides tools for the solution of dense linear systems and eigenvalue problems. cuSOLVERMp is compatible with 2D block-cyclic data layout and provides ScaLAPACK-like C APIs.","doc_url":"https://docs.nvidia.com/cuda/cusolvermp/","home":"https://docs.nvidia.com/cuda/cusolvermp/","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"0.6.0.712":{"weak":["libcusolvermp0 >=0.6.0.712,<1.0a0"]},"0.7.0.833":{"weak":["libcusolvermp0 >=0.7.0.833,<1.0a0"]},"0.7.1.851":{"weak":["libcusolvermp0 >=0.7.1.851,<1.0a0"]},"0.7.2.888":{"weak":["libcusolvermp0 >=0.7.2.888,<1.0a0"]},"0.8.0.3126":{"weak":["libcusolvermp0 >=0.8.0.3126,<0.9.0a0"]}},"subdirs":["linux-64","linux-aarch64"],"summary":"NVIDIA cuSOLVERMp is a high-performance, distributed-memory, GPU-accelerated library that provides tools for the solution of dense linear systems and eigenvalue problems.","text_prefix":false,"timestamp":1775456052,"version":"0.8.0.3126"},"libcusparse":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"cuSPARSE - Basic Linear Algebra for Sparse Matrices on NVIDIA GPUs","doc_url":"https://docs.nvidia.com/cuda/cusparse/index.html","home":"https://developer.nvidia.com/cusparse","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"source_url":"/jenkins/agent/cia-jenkins-master-03.nvidia.com/workspace/fragments/conda/conda-component-libcusparse/conda/build/libcusparse-linux-x86_64-11.7.2.112.tar.gz","subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"CUDA Sparse Matrix Library","text_prefix":true,"timestamp":1709090448,"version":"12.8.1.7"},"libcusparse-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"cuSPARSE - Basic Linear Algebra for Sparse Matrices on NVIDIA GPUs","doc_url":"https://docs.nvidia.com/cuda/cusparse/index.html","home":"https://developer.nvidia.com/cusparse","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"12.4.1.24":{"weak":["libcusparse >=12.4.1.24,<13.0a0"]},"12.5.1.3":{"weak":["libcusparse >=12.5.1.3,<13.0a0"]},"12.5.10.65":{"weak":["libcusparse >=12.5.10.65,<13.0a0"]},"12.5.2.23":{"weak":["libcusparse >=12.5.2.23,<13.0a0"]},"12.5.3.3":{"weak":["libcusparse >=12.5.3.3,<13.0a0"]},"12.5.4.2":{"weak":["libcusparse >=12.5.4.2,<13.0a0"]},"12.5.7.53":{"weak":["libcusparse >=12.5.7.53,<13.0a0"]},"12.5.8.93":{"weak":["libcusparse >=12.5.8.93,<13.0a0"]},"12.5.9.5":{"weak":["libcusparse >=12.5.9.5,<13.0a0"]},"12.6.2.49":{"weak":["libcusparse >=12.6.2.49,<13.0a0"]},"12.6.3.3":{"weak":["libcusparse >=12.6.3.3,<13.0a0"]},"12.7.10.1":{"weak":["libcusparse >=12.7.10.1,<13.0a0"]},"12.7.2.19":{"weak":["libcusparse >=12.7.2.19,<13.0a0"]},"12.7.3.1":{"weak":["libcusparse >=12.7.3.1,<13.0a0"]},"12.7.9.17":{"weak":["libcusparse >=12.7.9.17,<13.0a0"]},"12.8.1.7":{"weak":["libcusparse >=12.8.1.7,<13.0a0"]}},"source_url":"/jenkins/agent/cia-jenkins-master-03.nvidia.com/workspace/fragments/conda/conda-component-libcusparse@2/conda/build/libcusparse-linux-x86_64-11.7.1.55.tar.gz","subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"CUDA Sparse Matrix Library","text_prefix":true,"timestamp":1657740585,"version":"12.8.1.7"},"libcusparse-static":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"cuSPARSE - Basic Linear Algebra for Sparse Matrices on NVIDIA GPUs","doc_url":"https://docs.nvidia.com/cuda/cusparse/index.html","home":"https://developer.nvidia.com/cusparse","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le"],"summary":"CUDA Sparse Matrix Library","text_prefix":false,"timestamp":1698749532,"version":"12.8.1.7"},"libcutensor":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"cuTENSOR is a high-performance CUDA library for tensor primitives.","doc_url":"https://docs.nvidia.com/cuda/cutensor/index.html","home":"https://developer.nvidia.com/cutensor","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"source_url":"/jenkins/agent/cia-jenkins-master-03.nvidia.com/workspace/fragments/conda/conda-component-libcutensor@2/conda/build/libcutensor-linux-ppc64le-1.5.0.3.tar.gz","subdirs":["linux-64","linux-aarch64","linux-ppc64le"],"text_prefix":false,"timestamp":1646765642,"version":"1.5.0.3"},"libcutensor-cuda-11":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"cuTENSOR is a high-performance CUDA library for tensor primitives.","doc_url":"https://docs.nvidia.com/cuda/cutensor/index.html","home":"https://developer.nvidia.com/cutensor","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"text_prefix":false,"timestamp":1673472159,"version":"2.2.0.0"},"libcutensor-cuda-12":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"cuTENSOR is a high-performance CUDA library for tensor primitives.","doc_url":"https://docs.nvidia.com/cuda/cutensor/index.html","home":"https://developer.nvidia.com/cutensor","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"text_prefix":false,"timestamp":1705675159,"version":"2.7.0.5"},"libcutensor-cuda-13":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"cuTENSOR is a high-performance CUDA library for tensor primitives.","doc_url":"https://docs.nvidia.com/cuda/cutensor/index.html","home":"https://developer.nvidia.com/cutensor","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","win-64"],"text_prefix":false,"timestamp":1780667518,"version":"2.7.0.5"},"libcutensor-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"cuTENSOR is a high-performance CUDA library for tensor primitives.","doc_url":"https://docs.nvidia.com/cuda/cutensor/index.html","home":"https://developer.nvidia.com/cutensor","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"source_url":"/jenkins/agent/cia-jenkins-master-03.nvidia.com/workspace/fragments/conda/conda-component-libcutensor@2/conda/build/libcutensor-linux-ppc64le-1.5.0.3.tar.gz","subdirs":["linux-64","linux-aarch64","linux-ppc64le"],"text_prefix":false,"timestamp":1646765731,"version":"1.5.0.3"},"libcutensor-dev-cuda-11":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"cuTENSOR is a high-performance CUDA library for tensor primitives.","doc_url":"https://docs.nvidia.com/cuda/cutensor/index.html","home":"https://developer.nvidia.com/cutensor","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"text_prefix":false,"timestamp":1678118385,"version":"2.2.0.0"},"libcutensor-dev-cuda-12":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"cuTENSOR is a high-performance CUDA library for tensor primitives.","doc_url":"https://docs.nvidia.com/cuda/cutensor/index.html","home":"https://developer.nvidia.com/cutensor","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"text_prefix":false,"timestamp":1673472065,"version":"2.7.0.5"},"libcutensor-dev-cuda-13":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"cuTENSOR is a high-performance CUDA library for tensor primitives.","doc_url":"https://docs.nvidia.com/cuda/cutensor/index.html","home":"https://developer.nvidia.com/cutensor","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","win-64"],"text_prefix":false,"timestamp":1780667755,"version":"2.7.0.5"},"libcutensor-doc":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"cuTENSOR is a high-performance CUDA library for tensor primitives.","doc_url":"https://docs.nvidia.com/cuda/cutensor/index.html","home":"https://developer.nvidia.com/cutensor","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"source_url":"/jenkins/agent/cia-jenkins-master-03.nvidia.com/workspace/fragments/conda/conda-component-libcutensor@2/conda/build/libcutensor-linux-ppc64le-1.5.0.3.tar.gz","subdirs":["linux-64","linux-aarch64","linux-ppc64le"],"text_prefix":false,"timestamp":1646765855,"version":"1.5.0.3"},"libholoscan":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"This is a runtime package only. Developers should install holoscan (python) and/or libholoscan-dev (C++ SDK) to build with Holoscan","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":true,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64"],"summary":"NVIDIA Holoscan runtime library","text_prefix":false,"timestamp":1750968218,"version":"3.4.0.2"},"libholoscan-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"NVIDIA Holoscan is the AI sensor processing platform that combines hardware systems for low-latency sensor and network connectivity, optimized libraries for data processing and AI, and core microservices to run streaming, imaging, and other applications, from embedded to edge to cloud. It can be used to build streaming AI pipelines for a variety of domains, including Medical Devices, High Performance Computing at the Edge, Industrial Inspection and more.","doc_url":"https://docs.nvidia.com/cuda/holoscan/","home":"https://docs.nvidia.com/cuda/holoscan/","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"3.4.0.2":{"weak":["libholoscan >=3.4.0.2,<4.0a0"]}},"subdirs":["linux-64","linux-aarch64"],"summary":"NVIDIA Holoscan is the AI sensor processing platform that combines hardware systems for low-latency sensor and network connectivity, optimized libraries for data processing and AI, and core microservices to run streaming, imaging, and other applications, from embedded to edge to cloud.","text_prefix":false,"timestamp":1750968643,"version":"3.4.0.2"},"libmps-parser":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"home":"https://docs.nvidia.com/cuopt/introduction.html","license":"Apache-2.0","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64"],"summary":"cuOpt - GPU Combinatorial Optimization","text_prefix":false,"timestamp":1775767426,"version":"26.04.00"},"libmrc":{"activate.d":false,"binary_prefix":true,"deactivate.d":false,"home":"https://github.com/nv-morpheus/MRC","license":"Apache-2.0","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"23.01.00":{"weak":["libmrc >=23.1.0,<23.2.0a0"]},"23.03.00":{"weak":["libmrc >=23.3.0,<23.4.0a0"]},"23.07.00":{"weak":["libmrc >=23.7.0,<23.8.0a0"]},"23.11.00":{"weak":["libmrc >=23.11.0,<23.12.0a0"]},"24.03.00":{"weak":["libmrc >=24.3.0,<24.4.0a0"]},"24.03.01":{"weak":["libmrc >=24.3.1,<24.4.0a0"]},"24.06.00":{"weak":["libmrc >=24.6.0,<24.7.0a0"]},"24.10.00":{"weak":["libmrc >=24.10.0,<24.11.0a0"]},"25.02.00":{"weak":["libmrc >=25.2.0,<25.3.0a0"]},"25.06.00":{"weak":["libmrc >=25.6.0,<25.7.0a0"]}},"subdirs":["linux-64","linux-aarch64"],"summary":"A GPU accelerated streaming data library with python bindings","text_prefix":true,"timestamp":1753300467,"version":"25.06.00"},"libnpp":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"NPP native runtime libraries","doc_url":"https://docs.nvidia.com/cuda/npp/index.html","home":"https://developer.nvidia.com/npp","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"source_url":"/jenkins/agent/cia-jenkins-master-03.nvidia.com/workspace/fragments/conda/conda-component-libnpp/conda/build/libnpp-linux-x86_64-11.5.1.53.tar.gz","subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"NPP native runtime libraries","text_prefix":true,"timestamp":1666673528,"version":"13.1.2.48"},"libnpp-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"NPP native runtime libraries","doc_url":"https://docs.nvidia.com/cuda/npp/index.html","home":"https://developer.nvidia.com/npp","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"12.3.0.116":{"weak":["libnpp >=12.3.0.116,<13.0a0"]},"12.3.0.159":{"weak":["libnpp >=12.3.0.159,<13.0a0"]},"12.3.1.23":{"weak":["libnpp >=12.3.1.23,<13.0a0"]},"12.3.1.54":{"weak":["libnpp >=12.3.1.54,<13.0a0"]},"12.3.3.100":{"weak":["libnpp >=12.3.3.100,<13.0a0"]},"12.3.3.65":{"weak":["libnpp >=12.3.3.65,<13.0a0"]},"12.4.0.27":{"weak":["libnpp >=12.4.0.27,<13.0a0"]},"12.4.1.87":{"weak":["libnpp >=12.4.1.87,<13.0a0"]},"13.0.0.50":{"weak":["libnpp >=13.0.0.50,<14.0a0"]},"13.0.1.2":{"weak":["libnpp >=13.0.1.2,<14.0a0"]},"13.0.2.21":{"weak":["libnpp >=13.0.2.21,<14.0a0"]},"13.0.3.3":{"weak":["libnpp >=13.0.3.3,<14.0a0"]},"13.1.0.44":{"weak":["libnpp >=13.1.0.44,<14.0a0"]},"13.1.0.48":{"weak":["libnpp >=13.1.0.48,<14.0a0"]},"13.1.2.48":{"weak":["libnpp >=13.1.2.48,<14.0a0"]}},"source_url":"/jenkins/agent/cia-jenkins-master-03.nvidia.com/workspace/fragments/conda/conda-component-libnpp/conda/build/libnpp-linux-x86_64-11.6.2.112.tar.gz","subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"NPP native runtime libraries","text_prefix":true,"timestamp":1657895814,"version":"13.1.2.48"},"libnpp-static":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"NPP native runtime libraries","doc_url":"https://docs.nvidia.com/cuda/npp/index.html","home":"https://developer.nvidia.com/npp","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le"],"summary":"NPP native runtime libraries","text_prefix":false,"timestamp":1695768190,"version":"13.1.2.48"},"libnvfatbin":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"NVIDIA compiler library for fatbin interaction","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"NVIDIA compiler library for fatbin interaction","text_prefix":false,"timestamp":1709090290,"version":"13.3.29"},"libnvfatbin-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"NVIDIA compiler library for fatbin interaction","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"12.5.39":{"weak":["libnvfatbin >=12.5.39,<13.0a0"]},"12.5.82":{"weak":["libnvfatbin >=12.5.82,<13.0a0"]},"12.6.20":{"weak":["libnvfatbin >=12.6.20,<13.0a0"]},"12.6.68":{"weak":["libnvfatbin >=12.6.68,<13.0a0"]},"12.6.77":{"weak":["libnvfatbin >=12.6.77,<13.0a0"]},"12.8.55":{"weak":["libnvfatbin >=12.8.55,<13.0a0"]},"12.8.90":{"weak":["libnvfatbin >=12.8.90,<13.0a0"]},"12.9.19":{"weak":["libnvfatbin >=12.9.19,<13.0a0"]},"12.9.82":{"weak":["libnvfatbin >=12.9.82,<13.0a0"]},"13.0.39":{"weak":["libnvfatbin >=13.0.39,<14.0a0"]},"13.0.85":{"weak":["libnvfatbin >=13.0.85,<14.0a0"]},"13.1.115":{"weak":["libnvfatbin >=13.1.115,<14.0a0"]},"13.1.80":{"weak":["libnvfatbin >=13.1.80,<14.0a0"]},"13.2.51":{"weak":["libnvfatbin >=13.2.51,<14.0a0"]},"13.2.78":{"weak":["libnvfatbin >=13.2.78,<14.0a0"]},"13.3.29":{"weak":["libnvfatbin >=13.3.29,<14.0a0"]}},"subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"NVIDIA compiler library for fatbin interaction","text_prefix":true,"timestamp":1720728669,"version":"13.3.29"},"libnvfatbin-static":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"NVIDIA compiler library for fatbin interaction","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","win-64"],"summary":"NVIDIA compiler library for fatbin interaction","text_prefix":false,"timestamp":1723661637,"version":"13.3.29"},"libnvjitlink":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"nvJitLink - Just-in-Time Link Time Optimization (JIT LTO)","doc_url":"https://docs.nvidia.com/cuda/nvjitlink/","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"CUDA nvJitLink library","text_prefix":false,"timestamp":1723661875,"version":"13.3.33"},"libnvjitlink-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"nvJitLink - Just-in-Time Link Time Optimization (JIT LTO)","doc_url":"https://docs.nvidia.com/cuda/nvjitlink/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"12.5.40":{"weak":["libnvjitlink >=12.5.40,<13.0a0"]},"12.5.82":{"weak":["libnvjitlink >=12.5.82,<13.0a0"]},"12.6.20":{"weak":["libnvjitlink >=12.6.20,<13.0a0"]},"12.6.68":{"weak":["libnvjitlink >=12.6.68,<13.0a0"]},"12.6.77":{"weak":["libnvjitlink >=12.6.77,<13.0a0"]},"12.6.85":{"weak":["libnvjitlink >=12.6.85,<13.0a0"]},"12.8.61":{"weak":["libnvjitlink >=12.8.61,<13.0a0"]},"12.8.93":{"weak":["libnvjitlink >=12.8.93,<13.0a0"]},"12.9.41":{"weak":["libnvjitlink >=12.9.41,<13.0a0"]},"12.9.86":{"weak":["libnvjitlink >=12.9.86,<13.0a0"]},"13.0.39":{"weak":["libnvjitlink >=13.0.39,<14.0a0"]},"13.0.88":{"weak":["libnvjitlink >=13.0.88,<14.0a0"]},"13.1.115":{"weak":["libnvjitlink >=13.1.115,<14.0a0"]},"13.1.80":{"weak":["libnvjitlink >=13.1.80,<14.0a0"]},"13.2.51":{"weak":["libnvjitlink >=13.2.51,<14.0a0"]},"13.2.78":{"weak":["libnvjitlink >=13.2.78,<14.0a0"]},"13.3.33":{"weak":["libnvjitlink >=13.3.33,<14.0a0"]}},"subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"CUDA nvJitLink library","text_prefix":true,"timestamp":1723662193,"version":"13.3.33"},"libnvjitlink-static":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"nvJitLink - Just-in-Time Link Time Optimization (JIT LTO)","doc_url":"https://docs.nvidia.com/cuda/nvjitlink/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","win-64"],"summary":"CUDA nvJitLink library","text_prefix":false,"timestamp":1717674201,"version":"13.3.33"},"libnvjpeg":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"nvJPEG native runtime libraries","doc_url":"https://docs.nvidia.com/cuda/nvjpeg/index.html","home":"https://developer.nvidia.com/nvjpeg","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"source_url":"/jenkins/agent/cia-jenkins-master-03.nvidia.com/workspace/fragments/conda/conda-component-libnvjpeg/conda/build/libnvjpeg-linux-x86_64-11.5.4.107.tar.gz","subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"nvJPEG native runtime libraries","text_prefix":true,"timestamp":1673076335,"version":"13.2.0.21"},"libnvjpeg-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"nvJPEG native runtime libraries","doc_url":"https://docs.nvidia.com/cuda/nvjpeg/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"12.3.2.38":{"weak":["libnvjpeg >=12.3.2.38,<13.0a0"]},"12.3.2.81":{"weak":["libnvjpeg >=12.3.2.81,<13.0a0"]},"12.3.3.23":{"weak":["libnvjpeg >=12.3.3.23,<13.0a0"]},"12.3.3.54":{"weak":["libnvjpeg >=12.3.3.54,<13.0a0"]},"12.3.5.57":{"weak":["libnvjpeg >=12.3.5.57,<13.0a0"]},"12.3.5.92":{"weak":["libnvjpeg >=12.3.5.92,<13.0a0"]},"12.4.0.16":{"weak":["libnvjpeg >=12.4.0.16,<13.0a0"]},"12.4.0.76":{"weak":["libnvjpeg >=12.4.0.76,<13.0a0"]},"13.0.0.40":{"weak":["libnvjpeg >=13.0.0.40,<14.0a0"]},"13.0.1.86":{"weak":["libnvjpeg >=13.0.1.86,<14.0a0"]},"13.0.2.28":{"weak":["libnvjpeg >=13.0.2.28,<14.0a0"]},"13.0.3.75":{"weak":["libnvjpeg >=13.0.3.75,<14.0a0"]},"13.0.4.44":{"weak":["libnvjpeg >=13.0.4.44,<14.0a0"]},"13.1.0.48":{"weak":["libnvjpeg >=13.1.0.48,<14.0a0"]},"13.2.0.21":{"weak":["libnvjpeg >=13.2.0.21,<14.0a0"]}},"source_url":"/jenkins/agent/cia-jenkins-master-03.nvidia.com/workspace/fragments/conda/conda-component-libnvjpeg@2/conda/build/libnvjpeg-linux-x86_64-11.7.2.34-archive.tar.xz","subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"nvJPEG native runtime libraries","text_prefix":true,"timestamp":1710545783,"version":"13.2.0.21"},"libnvjpeg-static":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"nvJPEG native runtime libraries","doc_url":"https://docs.nvidia.com/cuda/nvjpeg/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le"],"summary":"nvJPEG native runtime libraries","text_prefix":false,"timestamp":1709083271,"version":"13.2.0.21"},"libnvpl-blas-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"The NVIDIA Performance Libraries (NVPL) are a collection of high performance mathematical libraries optimized for the NVIDIA Grace Armv9.0 architecture. These CPU-only libraries have no dependencies on CUDA or CTK, and are drop in replacements for standard C and Fortran mathematical APIs allowing HPC applications to achieve maximum performance on the Grace platform.","doc_url":"https://docs.nvidia.com/nvpl/","home":"https://developer.nvidia.com/nvpl","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"0.4.0.1":{"weak":["libnvpl-blas0 >=0.4.0.1,<1.0a0"]},"0.4.1.1":{"weak":["libnvpl-blas0 >=0.4.1.1,<1.0a0"]},"0.5.0.1":{"weak":["libnvpl-blas0 >=0.5.0.1,<1.0a0"]},"0.6.0":{"weak":["libnvpl-blas0 >=0.6.0,<1.0a0"]}},"subdirs":["linux-aarch64"],"summary":"The NVIDIA Performance Libraries (NVPL) are a collection of high performance mathematical libraries optimized for the NVIDIA Grace Armv9.0 architecture.","text_prefix":false,"timestamp":1779913897,"version":"0.6.0"},"libnvpl-blas0":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"The NVIDIA Performance Libraries (NVPL) are a collection of high performance mathematical libraries optimized for the NVIDIA Grace Armv9.0 architecture. These CPU-only libraries have no dependencies on CUDA or CTK, and are drop in replacements for standard C and Fortran mathematical APIs allowing HPC applications to achieve maximum performance on the Grace platform.","doc_url":"https://docs.nvidia.com/nvpl/","home":"https://developer.nvidia.com/nvpl","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"0.4.0.1":{"weak":["libnvpl-blas0 >=0.4.0.1,<1.0a0"]},"0.4.1.1":{"weak":["libnvpl-blas0 >=0.4.1.1,<1.0a0"]},"0.5.0.1":{"weak":["libnvpl-blas0 >=0.5.0.1,<1.0a0"]},"0.6.0":{"weak":["libnvpl-blas0 >=0.6.0,<1.0a0"]}},"subdirs":["linux-aarch64"],"summary":"The NVIDIA Performance Libraries (NVPL) are a collection of high performance mathematical libraries optimized for the NVIDIA Grace Armv9.0 architecture.","text_prefix":false,"timestamp":1779913848,"version":"0.6.0"},"libnvpl-common-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"The NVIDIA Performance Libraries (NVPL) are a collection of high performance mathematical libraries optimized for the NVIDIA Grace Armv9.0 architecture. These CPU-only libraries have no dependencies on CUDA or CTK, and are drop in replacements for standard C and Fortran mathematical APIs allowing HPC applications to achieve maximum performance on the Grace platform.","doc_url":"https://docs.nvidia.com/nvpl/","home":"https://developer.nvidia.com/nvpl","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["noarch"],"summary":"The NVIDIA Performance Libraries (NVPL) are a collection of high performance mathematical libraries optimized for the NVIDIA Grace Armv9.0 architecture.","text_prefix":false,"timestamp":1779911207,"version":"0.3.5"},"libnvpl-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"home":"https://developer.nvidia.com/nvpl","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["noarch"],"summary":"The NVIDIA Performance Libraries (NVPL). For convenience only! Not to be used in host requirements for conda recipes!","text_prefix":false,"timestamp":1779920017,"version":"26.5.0"},"libnvpl-fft-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"The NVIDIA Performance Libraries (NVPL) are a collection of high performance mathematical libraries optimized for the NVIDIA Grace Armv9.0 architecture. These CPU-only libraries have no dependencies on CUDA or CTK, and are drop in replacements for standard C and Fortran mathematical APIs allowing HPC applications to achieve maximum performance on the Grace platform.","doc_url":"https://docs.nvidia.com/nvpl/","home":"https://developer.nvidia.com/nvpl","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"0.4.0.1":{"weak":["libnvpl-fft0 >=0.4.0.1,<1.0a0"]},"0.4.2.1":{"weak":["libnvpl-fft0 >=0.4.2.1,<1.0a0"]},"0.5.0":{"weak":["libnvpl-fft0 >=0.5.0,<1.0a0"]},"0.6.0.1":{"weak":["libnvpl-fft0 >=0.6.0.1,<1.0a0"]}},"subdirs":["linux-aarch64"],"summary":"The NVIDIA Performance Libraries (NVPL) are a collection of high performance mathematical libraries optimized for the NVIDIA Grace Armv9.0 architecture.","text_prefix":false,"timestamp":1779912987,"version":"0.6.0.1"},"libnvpl-fft0":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"The NVIDIA Performance Libraries (NVPL) are a collection of high performance mathematical libraries optimized for the NVIDIA Grace Armv9.0 architecture. These CPU-only libraries have no dependencies on CUDA or CTK, and are drop in replacements for standard C and Fortran mathematical APIs allowing HPC applications to achieve maximum performance on the Grace platform.","doc_url":"https://docs.nvidia.com/nvpl/","home":"https://developer.nvidia.com/nvpl","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"0.4.0.1":{"weak":["libnvpl-fft0 >=0.4.0.1,<1.0a0"]},"0.4.2.1":{"weak":["libnvpl-fft0 >=0.4.2.1,<1.0a0"]},"0.5.0":{"weak":["libnvpl-fft0 >=0.5.0,<1.0a0"]},"0.6.0.1":{"weak":["libnvpl-fft0 >=0.6.0.1,<1.0a0"]}},"subdirs":["linux-aarch64"],"summary":"The NVIDIA Performance Libraries (NVPL) are a collection of high performance mathematical libraries optimized for the NVIDIA Grace Armv9.0 architecture.","text_prefix":false,"timestamp":1779912811,"version":"0.6.0.1"},"libnvpl-lapack-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"The NVIDIA Performance Libraries (NVPL) are a collection of high performance mathematical libraries optimized for the NVIDIA Grace Armv9.0 architecture. These CPU-only libraries have no dependencies on CUDA or CTK, and are drop in replacements for standard C and Fortran mathematical APIs allowing HPC applications to achieve maximum performance on the Grace platform.","doc_url":"https://docs.nvidia.com/nvpl/","home":"https://developer.nvidia.com/nvpl","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"0.3.0":{"weak":["libnvpl-lapack0 >=0.3.0,<1.0a0"]},"0.3.1.1":{"weak":["libnvpl-lapack0 >=0.3.1.1,<1.0a0"]},"0.3.2":{"weak":["libnvpl-lapack0 >=0.3.2,<1.0a0"]},"0.4.0.1":{"weak":["libnvpl-lapack0 >=0.4.0.1,<1.0a0"]}},"subdirs":["linux-aarch64"],"summary":"The NVIDIA Performance Libraries (NVPL) are a collection of high performance mathematical libraries optimized for the NVIDIA Grace Armv9.0 architecture.","text_prefix":false,"timestamp":1779916551,"version":"0.4.0.1"},"libnvpl-lapack0":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"The NVIDIA Performance Libraries (NVPL) are a collection of high performance mathematical libraries optimized for the NVIDIA Grace Armv9.0 architecture. These CPU-only libraries have no dependencies on CUDA or CTK, and are drop in replacements for standard C and Fortran mathematical APIs allowing HPC applications to achieve maximum performance on the Grace platform.","doc_url":"https://docs.nvidia.com/nvpl/","home":"https://developer.nvidia.com/nvpl","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"0.3.0":{"weak":["libnvpl-lapack0 >=0.3.0,<1.0a0"]},"0.3.1.1":{"weak":["libnvpl-lapack0 >=0.3.1.1,<1.0a0"]},"0.3.2":{"weak":["libnvpl-lapack0 >=0.3.2,<1.0a0"]},"0.4.0.1":{"weak":["libnvpl-lapack0 >=0.4.0.1,<1.0a0"]}},"subdirs":["linux-aarch64"],"summary":"The NVIDIA Performance Libraries (NVPL) are a collection of high performance mathematical libraries optimized for the NVIDIA Grace Armv9.0 architecture.","text_prefix":false,"timestamp":1779916355,"version":"0.4.0.1"},"libnvpl-rand-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"The NVIDIA Performance Libraries (NVPL) are a collection of high performance mathematical libraries optimized for the NVIDIA Grace Armv9.0 architecture. These CPU-only libraries have no dependencies on CUDA or CTK, and are drop in replacements for standard C and Fortran mathematical APIs allowing HPC applications to achieve maximum performance on the Grace platform.","doc_url":"https://docs.nvidia.com/nvpl/","home":"https://developer.nvidia.com/nvpl","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"0.5.1":{"weak":["libnvpl-rand0 >=0.5.1,<1.0a0"]},"0.5.2":{"weak":["libnvpl-rand0 >=0.5.2,<1.0a0"]},"0.5.3":{"weak":["libnvpl-rand0 >=0.5.3,<1.0a0"]},"0.5.4":{"weak":["libnvpl-rand0 >=0.5.4,<1.0a0"]}},"subdirs":["linux-aarch64"],"summary":"The NVIDIA Performance Libraries (NVPL) are a collection of high performance mathematical libraries optimized for the NVIDIA Grace Armv9.0 architecture.","text_prefix":false,"timestamp":1779914570,"version":"0.5.4"},"libnvpl-rand0":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"The NVIDIA Performance Libraries (NVPL) are a collection of high performance mathematical libraries optimized for the NVIDIA Grace Armv9.0 architecture. These CPU-only libraries have no dependencies on CUDA or CTK, and are drop in replacements for standard C and Fortran mathematical APIs allowing HPC applications to achieve maximum performance on the Grace platform.","doc_url":"https://docs.nvidia.com/nvpl/","home":"https://developer.nvidia.com/nvpl","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"0.5.1":{"weak":["libnvpl-rand0 >=0.5.1,<1.0a0"]},"0.5.2":{"weak":["libnvpl-rand0 >=0.5.2,<1.0a0"]},"0.5.3":{"weak":["libnvpl-rand0 >=0.5.3,<1.0a0"]},"0.5.4":{"weak":["libnvpl-rand0 >=0.5.4,<1.0a0"]}},"subdirs":["linux-aarch64"],"summary":"The NVIDIA Performance Libraries (NVPL) are a collection of high performance mathematical libraries optimized for the NVIDIA Grace Armv9.0 architecture.","text_prefix":false,"timestamp":1779914478,"version":"0.5.4"},"libnvpl-scalapack-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"The NVIDIA Performance Libraries (NVPL) are a collection of high performance mathematical libraries optimized for the NVIDIA Grace Armv9.0 architecture. These CPU-only libraries have no dependencies on CUDA or CTK, and are drop in replacements for standard C and Fortran mathematical APIs allowing HPC applications to achieve maximum performance on the Grace platform.","doc_url":"https://docs.nvidia.com/nvpl/","home":"https://developer.nvidia.com/nvpl","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"0.2.1":{"weak":["libnvpl-scalapack0 >=0.2.1,<1.0a0"]},"0.2.2":{"weak":["libnvpl-scalapack0 >=0.2.2,<1.0a0"]},"0.2.3":{"weak":["libnvpl-scalapack0 >=0.2.3,<1.0a0"]},"0.2.4":{"weak":["libnvpl-scalapack0 >=0.2.4,<1.0a0"]}},"subdirs":["linux-aarch64"],"summary":"The NVIDIA Performance Libraries (NVPL) are a collection of high performance mathematical libraries optimized for the NVIDIA Grace Armv9.0 architecture.","text_prefix":false,"timestamp":1779917420,"version":"0.2.4"},"libnvpl-scalapack0":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"The NVIDIA Performance Libraries (NVPL) are a collection of high performance mathematical libraries optimized for the NVIDIA Grace Armv9.0 architecture. These CPU-only libraries have no dependencies on CUDA or CTK, and are drop in replacements for standard C and Fortran mathematical APIs allowing HPC applications to achieve maximum performance on the Grace platform.","doc_url":"https://docs.nvidia.com/nvpl/","home":"https://developer.nvidia.com/nvpl","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"0.2.1":{"weak":["libnvpl-scalapack0 >=0.2.1,<1.0a0"]},"0.2.2":{"weak":["libnvpl-scalapack0 >=0.2.2,<1.0a0"]},"0.2.3":{"weak":["libnvpl-scalapack0 >=0.2.3,<1.0a0"]},"0.2.4":{"weak":["libnvpl-scalapack0 >=0.2.4,<1.0a0"]}},"subdirs":["linux-aarch64"],"summary":"The NVIDIA Performance Libraries (NVPL) are a collection of high performance mathematical libraries optimized for the NVIDIA Grace Armv9.0 architecture.","text_prefix":false,"timestamp":1779917321,"version":"0.2.4"},"libnvpl-sparse-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"The NVIDIA Performance Libraries (NVPL) are a collection of high performance mathematical libraries optimized for the NVIDIA Grace Armv9.0 architecture. These CPU-only libraries have no dependencies on CUDA or CTK, and are drop in replacements for standard C and Fortran mathematical APIs allowing HPC applications to achieve maximum performance on the Grace platform.","doc_url":"https://docs.nvidia.com/nvpl/","home":"https://developer.nvidia.com/nvpl","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"0.4.0":{"weak":["libnvpl-sparse0 >=0.4.0,<1.0a0"]},"0.4.1":{"weak":["libnvpl-sparse0 >=0.4.1,<1.0a0"]},"0.5.0":{"weak":["libnvpl-sparse0 >=0.5.0,<1.0a0"]},"0.6.0":{"weak":["libnvpl-sparse0 >=0.6.0,<1.0a0"]}},"subdirs":["linux-aarch64"],"summary":"The NVIDIA Performance Libraries (NVPL) are a collection of high performance mathematical libraries optimized for the NVIDIA Grace Armv9.0 architecture.","text_prefix":false,"timestamp":1779915629,"version":"0.6.0"},"libnvpl-sparse0":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"The NVIDIA Performance Libraries (NVPL) are a collection of high performance mathematical libraries optimized for the NVIDIA Grace Armv9.0 architecture. These CPU-only libraries have no dependencies on CUDA or CTK, and are drop in replacements for standard C and Fortran mathematical APIs allowing HPC applications to achieve maximum performance on the Grace platform.","doc_url":"https://docs.nvidia.com/nvpl/","home":"https://developer.nvidia.com/nvpl","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"0.4.0":{"weak":["libnvpl-sparse0 >=0.4.0,<1.0a0"]},"0.4.1":{"weak":["libnvpl-sparse0 >=0.4.1,<1.0a0"]},"0.5.0":{"weak":["libnvpl-sparse0 >=0.5.0,<1.0a0"]},"0.6.0":{"weak":["libnvpl-sparse0 >=0.6.0,<1.0a0"]}},"subdirs":["linux-aarch64"],"summary":"The NVIDIA Performance Libraries (NVPL) are a collection of high performance mathematical libraries optimized for the NVIDIA Grace Armv9.0 architecture.","text_prefix":false,"timestamp":1779915597,"version":"0.6.0"},"libnvpl-tensor-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"The NVIDIA Performance Libraries (NVPL) are a collection of high performance mathematical libraries optimized for the NVIDIA Grace Armv9.0 architecture. These CPU-only libraries have no dependencies on CUDA or CTK, and are drop in replacements for standard C and Fortran mathematical APIs allowing HPC applications to achieve maximum performance on the Grace platform.","doc_url":"https://docs.nvidia.com/nvpl/","home":"https://developer.nvidia.com/nvpl","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"0.3.0":{"weak":["libnvpl-tensor0 >=0.3.0,<1.0a0"]},"0.3.1":{"weak":["libnvpl-tensor0 >=0.3.1,<1.0a0"]},"0.3.2.1":{"weak":["libnvpl-tensor0 >=0.3.2.1,<1.0a0"]},"0.3.3":{"weak":["libnvpl-tensor0 >=0.3.3,<1.0a0"]}},"subdirs":["linux-aarch64"],"summary":"The NVIDIA Performance Libraries (NVPL) are a collection of high performance mathematical libraries optimized for the NVIDIA Grace Armv9.0 architecture.","text_prefix":false,"timestamp":1779918159,"version":"0.3.3"},"libnvpl-tensor0":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"The NVIDIA Performance Libraries (NVPL) are a collection of high performance mathematical libraries optimized for the NVIDIA Grace Armv9.0 architecture. These CPU-only libraries have no dependencies on CUDA or CTK, and are drop in replacements for standard C and Fortran mathematical APIs allowing HPC applications to achieve maximum performance on the Grace platform.","doc_url":"https://docs.nvidia.com/nvpl/","home":"https://developer.nvidia.com/nvpl","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"0.3.0":{"weak":["libnvpl-tensor0 >=0.3.0,<1.0a0"]},"0.3.1":{"weak":["libnvpl-tensor0 >=0.3.1,<1.0a0"]},"0.3.2.1":{"weak":["libnvpl-tensor0 >=0.3.2.1,<1.0a0"]},"0.3.3":{"weak":["libnvpl-tensor0 >=0.3.3,<1.0a0"]}},"subdirs":["linux-aarch64"],"summary":"The NVIDIA Performance Libraries (NVPL) are a collection of high performance mathematical libraries optimized for the NVIDIA Grace Armv9.0 architecture.","text_prefix":false,"timestamp":1779918106,"version":"0.3.3"},"libnvptxcompiler-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Compiler for CUDA applications.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","noarch","win-64"],"summary":"Target architecture dependent parts of CUDA nvptxcompiler.","text_prefix":false,"timestamp":1777098446,"version":"13.3.33"},"libnvptxcompiler-dev_linux-64":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Compiler for CUDA applications.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["noarch"],"summary":"Target architecture dependent parts of CUDA nvptxcompiler.","text_prefix":false,"timestamp":1777090736,"version":"13.3.33"},"libnvptxcompiler-dev_linux-aarch64":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Compiler for CUDA applications.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["noarch"],"summary":"Target architecture dependent parts of CUDA nvptxcompiler.","text_prefix":false,"timestamp":1777091866,"version":"13.3.33"},"libnvptxcompiler-dev_win-64":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Compiler for CUDA applications.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["noarch"],"summary":"Target architecture dependent parts of CUDA nvptxcompiler.","text_prefix":false,"timestamp":1777098341,"version":"13.3.33"},"libnvshmem-dev":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"NVIDIA NVSHMEM is an NVIDIA based \"shared memory\" library that provides an easy-to-use CPU-side interface to allocate pinned memory that is symmetrically distributed across a cluster of NVIDIA GPUs. NVSHMEM can significantly reduce communication and coordination overheads by allowing programmers to perform these operations from within CUDA kernels and on CUDA streams.","doc_url":"https://docs.nvidia.com/nvshmem/api/index.html","home":"https://docs.nvidia.com/nvshmem/index.html","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"3.1.7":{"weak":["libnvshmem3 >=3.1.7"]},"3.2.5":{"weak":["libnvshmem3 >=3.2.5"]},"3.3.20":{"weak":["libnvshmem3 >=3.3.20"]},"3.3.24":{"weak":["libnvshmem3 >=3.3.24"]},"3.3.9":{"weak":["libnvshmem3 >=3.3.9"]},"3.4.5":{"weak":["libnvshmem3 >=3.4.5"]},"3.5.19":{"weak":["libnvshmem3 >=3.5.19"]},"3.5.21":{"weak":["libnvshmem3 >=3.5.21"]},"3.6.5":{"weak":["libnvshmem3 >=3.6.5"]}},"subdirs":["linux-64","linux-aarch64"],"summary":"NVIDIA NVSHMEM is an NVIDIA based \"shared memory\" library that provides an easy-to-use CPU-side interface to allocate pinned memory that is symmetrically distributed across a cluster of NVIDIA GPUs.","text_prefix":false,"timestamp":1774129297,"version":"3.6.5"},"libnvshmem-static":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"NVIDIA NVSHMEM is an NVIDIA based \"shared memory\" library that provides an easy-to-use CPU-side interface to allocate pinned memory that is symmetrically distributed across a cluster of NVIDIA GPUs. NVSHMEM can significantly reduce communication and coordination overheads by allowing programmers to perform these operations from within CUDA kernels and on CUDA streams.","doc_url":"https://docs.nvidia.com/nvshmem/api/index.html","home":"https://docs.nvidia.com/nvshmem/index.html","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64"],"summary":"NVIDIA NVSHMEM is an NVIDIA based \"shared memory\" library that provides an easy-to-use CPU-side interface to allocate pinned memory that is symmetrically distributed across a cluster of NVIDIA GPUs.","text_prefix":false,"timestamp":1774130366,"version":"3.6.5"},"libnvshmem3":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"NVIDIA NVSHMEM is an NVIDIA based \"shared memory\" library that provides an easy-to-use CPU-side interface to allocate pinned memory that is symmetrically distributed across a cluster of NVIDIA GPUs. NVSHMEM can significantly reduce communication and coordination overheads by allowing programmers to perform these operations from within CUDA kernels and on CUDA streams.","doc_url":"https://docs.nvidia.com/nvshmem/api/index.html","home":"https://docs.nvidia.com/nvshmem/index.html","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64"],"summary":"NVIDIA NVSHMEM is an NVIDIA based \"shared memory\" library that provides an easy-to-use CPU-side interface to allocate pinned memory that is symmetrically distributed across a cluster of NVIDIA GPUs.","text_prefix":false,"timestamp":1774128679,"version":"3.6.5"},"libnvvm-samples":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Samples for NVVM library.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"text_prefix":false,"timestamp":1674618927,"version":"12.1.105"},"libsrf":{"activate.d":false,"binary_prefix":true,"deactivate.d":false,"home":"https://www.nvidia.com/","license":"Apache-2.0","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"22.06.00":{"weak":["libsrf >=22.6.0,<22.7.0a0"]},"22.06.01":{"weak":["libsrf >=22.6.1,<22.7.0a0"]},"22.08.00":{"weak":["libsrf >=22.8.0,<22.9.0a0"]},"22.09.00":{"weak":["libsrf >=22.9.0,<22.10.0a0"]},"22.11.00":{"weak":["libsrf >=22.11.0,<22.12.0a0"]}},"subdirs":["linux-64"],"summary":"A GPU accelerated streaming library with python bindings","text_prefix":true,"timestamp":1664583811,"version":"22.11.00"},"merlin-core":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"home":"https://github.com/NVIDIA-Merlin/core","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["noarch"],"summary":"Core Utilities for NVIDIA Merlin","text_prefix":false,"timestamp":1693326783,"version":"23.08.00"},"merlin-dataloader":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"home":"https://github.com/NVIDIA-Merlin/dataloader","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["noarch"],"summary":"Accelerated training of tabular deep learning models in TensorFlow and PyTorch","text_prefix":false,"timestamp":1685544547,"version":"23.08.00"},"merlin-models":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"home":"https://github.com/NVIDIA-Merlin/models","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["noarch"],"summary":"Merlin Models is a collection of deep learning recommender system model reference implementations","text_prefix":false,"timestamp":1682607277,"version":"23.12.00"},"merlin-systems":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"home":"https://github.com/NVIDIA-Merlin/systems","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["noarch"],"summary":"Merlin Systems provides tools for combining recommendation models with other elements of production recommender systems (like feature stores, nearest neighbor search, and exploration strategies) into end-to-end recommendation pipelines that can be served with Triton Inference Server.","text_prefix":false,"timestamp":1685544225,"version":"23.08.00"},"morpheus-core":{"activate.d":false,"binary_prefix":true,"deactivate.d":false,"home":"https://github.com/nv-morpheus/Morpheus","license":"Apache-2.0","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"24.10.00":{"weak":["morpheus-core >=24.10.0,<24.11.0a0"]},"24.10.01":{"weak":["morpheus-core >=24.10.1,<24.11.0a0"]},"25.02.00":{"weak":["morpheus-core >=25.2.0,<25.3.0a0"]},"25.02.01":{"weak":["morpheus-core >=25.2.1,<25.3.0a0"]},"25.06.00":{"weak":["morpheus-core >=25.6.0,<25.7.0a0"]}},"source_git_url":"/__w/Morpheus/Morpheus/morpheus","subdirs":["linux-64","linux-aarch64"],"summary":"Morpheus Cybersecurity Library","text_prefix":true,"timestamp":1753382245,"version":"25.06.00"},"morpheus-dfp":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"home":"https://github.com/nv-morpheus/Morpheus","license":"Apache-2.0","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"24.10.00":{"weak":["morpheus-dfp >=24.10.0,<24.11.0a0"]},"24.10.01":{"weak":["morpheus-dfp >=24.10.1,<24.11.0a0"]},"25.02.00":{"weak":["morpheus-dfp >=25.2.0,<25.3.0a0"]},"25.02.01":{"weak":["morpheus-dfp >=25.2.1,<25.3.0a0"]},"25.06.00":{"weak":["morpheus-dfp >=25.6.0,<25.7.0a0"]}},"source_git_url":"/__w/Morpheus/Morpheus/morpheus","subdirs":["linux-64","linux-aarch64"],"summary":"Morpheus Cybersecurity Library","text_prefix":false,"timestamp":1753382533,"version":"25.06.00"},"morpheus-llm":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"home":"https://github.com/nv-morpheus/Morpheus","license":"Apache-2.0","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"24.10.00":{"weak":["morpheus-llm >=24.10.0,<24.11.0a0"]},"24.10.01":{"weak":["morpheus-llm >=24.10.1,<24.11.0a0"]},"25.02.00":{"weak":["morpheus-llm >=25.2.0,<25.3.0a0"]},"25.02.01":{"weak":["morpheus-llm >=25.2.1,<25.3.0a0"]},"25.06.00":{"weak":["morpheus-llm >=25.6.0,<25.7.0a0"]}},"source_git_url":"/__w/Morpheus/Morpheus/morpheus","subdirs":["linux-64","linux-aarch64"],"summary":"Morpheus Cybersecurity Library","text_prefix":false,"timestamp":1753382838,"version":"25.06.00"},"mrc":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"home":"https://github.com/nv-morpheus/MRC","license":"Apache-2.0","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"23.01.00":{"weak":["mrc >=23.1.0,<23.2.0a0"]},"23.03.00":{"weak":["mrc >=23.3.0,<23.4.0a0"]},"23.07.00":{"weak":["mrc >=23.7.0,<23.8.0a0"]},"23.11.00":{"weak":["mrc >=23.11.0,<23.12.0a0"]},"24.03.00":{"weak":["mrc >=24.3.0,<24.4.0a0"]},"24.03.01":{"weak":["mrc >=24.3.1,<24.4.0a0"]},"24.06.00":{"weak":["mrc >=24.6.0,<24.7.0a0"]},"24.10.00":{"weak":["mrc >=24.10.0,<24.11.0a0"]},"25.02.00":{"weak":["mrc >=25.2.0,<25.3.0a0"]},"25.06.00":{"weak":["mrc >=25.6.0,<25.7.0a0"]}},"subdirs":["linux-64","linux-aarch64"],"summary":"A GPU accelerated streaming data library with python bindings","text_prefix":false,"timestamp":1753300497,"version":"25.06.00"},"nccl":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"The NVIDIA Collective Communications Library (NCCL) implements multi-GPU and multi-node collective communication primitives that are performance optimized for NVIDIA GPUs. NCCL provides routines such as all-gather, all-reduce, broadcast, reduce, reduce-scatter, that are optimized to achieve high bandwidth over PCIe and NVLink high-speed interconnect.","dev_url":"https://github.com/NVIDIA/nccl","doc_url":"https://docs.nvidia.com/deeplearning/sdk/nccl-developer-guide/docs/index.html","home":"https://developer.nvidia.com/nccl","license":"BSD-3-Clause","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"2.27.7":{"weak":["nccl >=2.27.7,<3.0a0"]},"2.28.3":{"weak":["nccl >=2.28.3,<3.0a0"]},"2.28.7":{"weak":["nccl >=2.28.7,<3.0a0"]},"2.28.9":{"weak":["nccl >=2.28.9,<3.0a0"]},"2.29.2":{"weak":["nccl >=2.29.2,<3.0a0"]},"2.29.3":{"weak":["nccl >=2.29.3,<3.0a0"]},"2.29.7":{"weak":["nccl >=2.29.7,<3.0a0"]},"2.30.3":{"weak":["nccl >=2.30.3,<3.0a0"]},"2.30.4":{"weak":["nccl >=2.30.4,<3.0a0"]},"2.30.7":{"weak":["nccl >=2.30.7,<3.0a0"]}},"subdirs":["linux-64","linux-aarch64"],"summary":"Optimized primitives for collective multi-GPU communication","text_prefix":true,"timestamp":1781112014,"version":"2.30.7"},"nsight-compute":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"NVIDIA Nsight Compute is an interactive kernel profiler for CUDA applications. It provides detailed performance metrics and API debugging via a user interface and command line tool.","doc_url":"https://docs.nvidia.com/nsight-compute/NsightCompute/index.html","home":"https://developer.nvidia.com/nsight-compute","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","linux-ppc64le","win-64"],"summary":"NVIDIA Nsight Compute is an interactive kernel profiler for CUDA applications","text_prefix":true,"timestamp":1692199835,"version":"2026.2.0.7"},"numba-cuda":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"dev_url":"https://github.com/NVIDIA/numba-cuda","doc_url":"https://nvidia.github.io/numba-cuda/","home":"https://nvidia.github.io/numba-cuda/","license":"BSD-2-Clause","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","noarch"],"summary":"Numba CUDA target","text_prefix":false,"timestamp":1726491229,"version":"0.23.0"},"numbast":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64"],"summary":"Numbast is a CUDA C++ to Numba.cuda binding generator","text_prefix":true,"timestamp":1719326843,"version":"0.7.0"},"numbast-extensions":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64"],"summary":"Numbast-extensions contains novel dtypes and useful device side bindings for Numba.cuda","text_prefix":false,"timestamp":1719327124,"version":"0.7.0"},"nv_ingest":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Python module supporting document ingestion.","home":"https://github.com/NVIDIA/nv-ingest","license":"Apache-2.0","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64"],"summary":"Python module supporting document ingestion.","text_prefix":false,"timestamp":1769004709,"version":"26.1.2"},"nv_ingest_api":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Python module with core document ingestion functions.","home":"https://github.com/NVIDIA/nv-ingest","license":"Apache-2.0","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64"],"summary":"Python module with core document ingestion functions.","text_prefix":false,"timestamp":1769004578,"version":"26.1.2"},"nv_ingest_client":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Python module supporting document ingestion.","home":"https://github.com/NVIDIA/nv-ingest","license":"Apache-2.0","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64"],"summary":"Python module supporting document ingestion.","text_prefix":true,"timestamp":1769004801,"version":"26.1.2"},"nvgraph":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"home":"http://nvidia.com/","license":"LICENSE AGREEMENT FOR NVIDIA SOFTWARE DEVELOPMENT KITS","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64"],"summary":"nvgraph Library","text_prefix":false,"timestamp":1550006862,"version":"0.1.0.dev0"},"nvidia-gds":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"Meta-package containing all the available packages required for libcufile.","doc_url":"https://docs.nvidia.com/cuda/index.html","home":"https://developer.nvidia.com/cuda-toolkit","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64","noarch"],"summary":"GPU Direct Storage meta-package","text_prefix":false,"timestamp":1779220350,"version":"13.3.0"},"nvshmem4py":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"description":"C++ accelerated Python bindings for NVIDIA NVSHMEM built with Cython. NVIDIA NVSHMEM is an NVIDIA based \"shared memory\" library that provides an easy-to-use CPU-side interface to allocate pinned memory that is symmetrically distributed across a cluster of NVIDIA GPUs.","doc_url":"https://docs.nvidia.com/nvshmem/api/index.html","home":"https://docs.nvidia.com/nvshmem/index.html","license":"LicenseRef-NVIDIA-End-User-License-Agreement","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","linux-aarch64"],"summary":"C++ accelerated Python bindings for NVIDIA NVSHMEM built with Cython","text_prefix":false,"timestamp":1774123768,"version":"0.3.0.37673636"},"nvtabular":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"home":"https://github.com/NVIDIA/NVTabular","license":"Apache-2.0","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["linux-64","noarch"],"summary":"NVTabular library","text_prefix":false,"timestamp":1615260454,"version":"23.08.00"},"pylibcugraphops":{"activate.d":false,"binary_prefix":true,"deactivate.d":false,"home":"https://rapids.ai/","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"source_git_url":"../../..","subdirs":["linux-64","linux-aarch64"],"summary":"pylibcugraphOps library","text_prefix":false,"timestamp":1691614785,"version":"24.08.01"},"srf":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"home":"https://www.nvidia.com/","license":"Apache-2.0","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{"22.06.00":{"weak":["srf >=22.6.0,<22.7.0a0"]},"22.06.01":{"weak":["srf >=22.6.1,<22.7.0a0"]},"22.08.00":{"weak":["srf >=22.8.0,<22.9.0a0"]},"22.09.00":{"weak":["srf >=22.9.0,<22.10.0a0"]},"22.11.00":{"weak":["srf >=22.11.0,<22.12.0a0"]}},"subdirs":["linux-64"],"summary":"A GPU accelerated streaming library with python bindings","text_prefix":false,"timestamp":1664583836,"version":"22.11.00"},"transformers4rec":{"activate.d":false,"binary_prefix":false,"deactivate.d":false,"home":"https://github.com/NVIDIA-Merlin/Transformers4Rec","post_link":false,"pre_link":false,"pre_unlink":false,"run_exports":{},"subdirs":["noarch"],"summary":"Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and can work with PyTorch.","text_prefix":false,"timestamp":1639081214,"version":"23.12.00"}},"subdirs":["emscripten-wasm32","freebsd-64","linux-32","linux-64","linux-aarch64","linux-armv6l","linux-armv7l","linux-ppc64","linux-ppc64le","linux-riscv64","linux-s390x","noarch","osx-64","osx-arm64","wasi-wasm32","win-32","win-64","win-arm64","zos-z"]}
