ghcr.io/coreweave/nccl-tests:12.8.1-devel-ubuntu22.04-nccl2.28.7-1-6b47463 linux/amd64

ghcr.io/coreweave/nccl-tests:12.8.1-devel-ubuntu22.04-nccl2.28.7-1-6b47463 - 国内下载镜像源 浏览次数:10
**NCCL测试镜像**

这是一个用于测试 NVIDIA Collective Communication Library (NCCL) 的 Docker 容器镜像。该镜像提供了一套完整的环境来测试 NCCL 库的性能、功能和兼容性。

通过使用这个镜像，您可以轻松地在您的本地环境中设置和运行 NCCL 测试用例，从而评估其性能、稳定性和一致性的问题。该镜像包括了所有必要的依赖项和配置信息，使得您可以快速启动并开始测试NCCL库。

使用这个镜像是非常简单和方便的，只需要一个 Docker 服务器即可。如果您需要进一步了解或想自定义这个镜像，请访问提供的源代码以获取更多信息。该镜像将帮助您进行更好的 NCCL 测试，提高其性能、稳定性和一致性。

源镜像 ghcr.io/coreweave/nccl-tests:12.8.1-devel-ubuntu22.04-nccl2.28.7-1-6b47463
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/coreweave/nccl-tests:12.8.1-devel-ubuntu22.04-nccl2.28.7-1-6b47463
镜像ID sha256:9396a365e5a59aa93352cb699b8adb3c0595fbc3accab81f8f74edeb71a69a05
镜像TAG 12.8.1-devel-ubuntu22.04-nccl2.28.7-1-6b47463
大小 14.57GB
镜像源 ghcr.io
CMD
启动入口 /opt/nvidia/nvidia_entrypoint.sh
工作目录 /opt/nccl-tests
OS/平台 linux/amd64
浏览量 10 次
贡献者
镜像创建 2025-10-18T07:33:42.752123375Z
同步时间 2025-12-11 17:32
更新时间 2025-12-12 00:50
环境变量
PATH=/opt/hpcx/sharp/bin:/opt/hpcx/clusterkit/bin:/opt/hpcx/hcoll/bin:/opt/hpcx/ucc/bin:/opt/hpcx/ucx/bin:/opt/hpcx/ompi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin NVARCH=x86_64 NVIDIA_REQUIRE_CUDA=cuda>=12.8 brand=unknown,driver>=470,driver<471 brand=grid,driver>=470,driver<471 brand=tesla,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=vapps,driver>=470,driver<471 brand=vpc,driver>=470,driver<471 brand=vcs,driver>=470,driver<471 brand=vws,driver>=470,driver<471 brand=cloudgaming,driver>=470,driver<471 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=550,driver<551 brand=grid,driver>=550,driver<551 brand=tesla,driver>=550,driver<551 brand=nvidia,driver>=550,driver<551 brand=quadro,driver>=550,driver<551 brand=quadrortx,driver>=550,driver<551 brand=nvidiartx,driver>=550,driver<551 brand=vapps,driver>=550,driver<551 brand=vpc,driver>=550,driver<551 brand=vcs,driver>=550,driver<551 brand=vws,driver>=550,driver<551 brand=cloudgaming,driver>=550,driver<551 brand=unknown,driver>=560,driver<561 brand=grid,driver>=560,driver<561 brand=tesla,driver>=560,driver<561 brand=nvidia,driver>=560,driver<561 brand=quadro,driver>=560,driver<561 brand=quadrortx,driver>=560,driver<561 brand=nvidiartx,driver>=560,driver<561 brand=vapps,driver>=560,driver<561 brand=vpc,driver>=560,driver<561 brand=vcs,driver>=560,driver<561 brand=vws,driver>=560,driver<561 brand=cloudgaming,driver>=560,driver<561 brand=unknown,driver>=565,driver<566 brand=grid,driver>=565,driver<566 brand=tesla,driver>=565,driver<566 brand=nvidia,driver>=565,driver<566 brand=quadro,driver>=565,driver<566 brand=quadrortx,driver>=565,driver<566 brand=nvidiartx,driver>=565,driver<566 brand=vapps,driver>=565,driver<566 brand=vpc,driver>=565,driver<566 brand=vcs,driver>=565,driver<566 brand=vws,driver>=565,driver<566 brand=cloudgaming,driver>=565,driver<566 NV_CUDA_CUDART_VERSION=12.8.90-1 CUDA_VERSION=12.8.1 LD_LIBRARY_PATH=/opt/hpcx/nccl_rdma_sharp_plugin/lib:/opt/hpcx/ucc/lib/ucc:/opt/hpcx/ucc/lib:/opt/hpcx/ucx/lib/ucx:/opt/hpcx/ucx/lib:/opt/hpcx/sharp/lib:/opt/hpcx/hcoll/lib:/opt/hpcx/ompi/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=12.8.1-1 NV_NVTX_VERSION=12.8.90-1 NV_LIBNPP_VERSION=12.3.3.100-1 NV_LIBNPP_PACKAGE=libnpp-12-8=12.3.3.100-1 NV_LIBCUSPARSE_VERSION=12.5.8.93-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-8 NV_LIBCUBLAS_VERSION=12.8.4.1-1 NV_LIBCUBLAS_PACKAGE=libcublas-12-8=12.8.4.1-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.25.1-1 NCCL_VERSION=2.25.1-1 NV_LIBNCCL_PACKAGE=libnccl2=2.25.1-1+cuda12.8 NVIDIA_PRODUCT_NAME=CUDA NV_CUDA_CUDART_DEV_VERSION=12.8.90-1 NV_NVML_DEV_VERSION=12.8.90-1 NV_LIBCUSPARSE_DEV_VERSION=12.5.8.93-1 NV_LIBNPP_DEV_VERSION=12.3.3.100-1 NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-8=12.3.3.100-1 NV_LIBCUBLAS_DEV_VERSION=12.8.4.1-1 NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-8 NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-8=12.8.4.1-1 NV_CUDA_NSIGHT_COMPUTE_VERSION=12.8.1-1 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-8=12.8.1-1 NV_NVPROF_VERSION=12.8.90-1 NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-8=12.8.90-1 NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev NV_LIBNCCL_DEV_PACKAGE_VERSION=2.25.1-1 NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.25.1-1+cuda12.8 LIBRARY_PATH=/opt/hpcx/nccl_rdma_sharp_plugin/lib:/opt/hpcx/ompi/lib:/opt/hpcx/sharp/lib:/opt/hpcx/ucc/lib:/opt/hpcx/ucx/lib:/opt/hpcx/hcoll/lib:/opt/hpcx/ompi/lib:/usr/local/cuda/lib64/stubs NV_CUDNN_VERSION=9.13.0.50-1 NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-12 NV_CUDNN_PACKAGE=libcudnn9-cuda-12=9.13.0.50-1 NV_CUDNN_PACKAGE_DEV=libcudnn9-dev-cuda-12=9.13.0.50-1 HPCX_DIR=/opt/hpcx HPCX_UCX_DIR=/opt/hpcx/ucx HPCX_UCC_DIR=/opt/hpcx/ucc HPCX_SHARP_DIR=/opt/hpcx/sharp HPCX_NCCL_RDMA_SHARP_PLUGIN_DIR=/opt/hpcx/nccl_rdma_sharp_plugin HPCX_HCOLL_DIR=/opt/hpcx/hcoll HPCX_MPI_DIR=/opt/hpcx/ompi HPCX_OSHMEM_DIR=/opt/hpcx/ompi HPCX_MPI_TESTS_DIR=/opt/hpcx/ompi/tests HPCX_OSU_DIR=/opt/hpcx/ompi/tests/osu-micro-benchmarks HPCX_OSU_CUDA_DIR=/opt/hpcx/ompi/tests/osu-micro-benchmarks-cuda HPCX_IPM_DIR= HPCX_CLUSTERKIT_DIR=/opt/hpcx/clusterkit OMPI_HOME=/opt/hpcx/ompi MPI_HOME=/opt/hpcx/ompi OSHMEM_HOME=/opt/hpcx/ompi OPAL_PREFIX=/opt/hpcx/ompi OLD_PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin OLD_LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 OLD_LIBRARY_PATH=/usr/local/cuda/lib64/stubs OLD_CPATH= CPATH=/opt/hpcx/ompi/include:/opt/hpcx/ucc/include:/opt/hpcx/ucx/include:/opt/hpcx/sharp/include:/opt/hpcx/hcoll/include PKG_CONFIG_PATH=/opt/hpcx/hcoll/lib/pkgconfig:/opt/hpcx/sharp/lib/pkgconfig:/opt/hpcx/ucx/lib/pkgconfig:/opt/hpcx/ompi/lib/pkgconfig UCX_VFS_ENABLE=no NCCL_TESTS_COMMITISH=9a5c15461abcef145b907c54d04aea4e8d1cb21f
镜像标签
9.13.0.50-1: com.nvidia.cudnn.version NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer 2025-10-18T07:23:20.187Z: org.opencontainers.image.created NVIDIA NCCL Tests for Distributed Training: org.opencontainers.image.description : org.opencontainers.image.licenses ubuntu: org.opencontainers.image.ref.name 6b474636c78463ea2ab3789e532a349b51bad48f: org.opencontainers.image.revision https://github.com/coreweave/nccl-tests: org.opencontainers.image.source nccl-tests: org.opencontainers.image.title https://github.com/coreweave/nccl-tests: org.opencontainers.image.url 12.8.1-devel-ubuntu22.04-nccl2.28.7-1-6b47463: org.opencontainers.image.version
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Docker拉取命令 

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/coreweave/nccl-tests:12.8.1-devel-ubuntu22.04-nccl2.28.7-1-6b47463
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/coreweave/nccl-tests:12.8.1-devel-ubuntu22.04-nccl2.28.7-1-6b47463  ghcr.io/coreweave/nccl-tests:12.8.1-devel-ubuntu22.04-nccl2.28.7-1-6b47463

Containerd拉取命令 

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/coreweave/nccl-tests:12.8.1-devel-ubuntu22.04-nccl2.28.7-1-6b47463
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/coreweave/nccl-tests:12.8.1-devel-ubuntu22.04-nccl2.28.7-1-6b47463  ghcr.io/coreweave/nccl-tests:12.8.1-devel-ubuntu22.04-nccl2.28.7-1-6b47463

Shell快速替换命令 

sed -i 's#ghcr.io/coreweave/nccl-tests:12.8.1-devel-ubuntu22.04-nccl2.28.7-1-6b47463#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/coreweave/nccl-tests:12.8.1-devel-ubuntu22.04-nccl2.28.7-1-6b47463#' deployment.yaml

Ansible快速分发-Docker 

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/coreweave/nccl-tests:12.8.1-devel-ubuntu22.04-nccl2.28.7-1-6b47463 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/coreweave/nccl-tests:12.8.1-devel-ubuntu22.04-nccl2.28.7-1-6b47463  ghcr.io/coreweave/nccl-tests:12.8.1-devel-ubuntu22.04-nccl2.28.7-1-6b47463'

Ansible快速分发-Containerd 

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/coreweave/nccl-tests:12.8.1-devel-ubuntu22.04-nccl2.28.7-1-6b47463 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/coreweave/nccl-tests:12.8.1-devel-ubuntu22.04-nccl2.28.7-1-6b47463  ghcr.io/coreweave/nccl-tests:12.8.1-devel-ubuntu22.04-nccl2.28.7-1-6b47463'

镜像构建历史 


# 2025-10-18 15:33:42  4.93KB 执行命令并创建新的镜像层
RUN /bin/sh -c sed -i 's/[ #]\(.*StrictHostKeyChecking \).*/ \1no/g' /etc/ssh/ssh_config &&     echo "    UserKnownHostsFile /dev/null" >> /etc/ssh/ssh_config &&     sed -i 's/#\(StrictModes \).*/\1no/g' /etc/ssh/sshd_config &&     mkdir /var/run/sshd -p # buildkit
                        
# 2025-10-18 15:33:42  47.41KB 执行命令并创建新的镜像层
RUN /bin/sh -c ldconfig # buildkit
                        
# 2025-10-18 15:33:42  353.05MB 执行命令并创建新的镜像层
RUN /bin/sh -c wget -q -O - https://github.com/NVIDIA/nccl-tests/archive/${NCCL_TESTS_COMMITISH}.tar.gz | tar --strip-components=1 -xzf - &&     make -j20 MPI=1 &&     ln -s /opt/nccl-tests /opt/nccl_tests # buildkit
                        
# 2025-10-18 15:31:35  0.00B 设置工作目录为/opt/nccl-tests
WORKDIR /opt/nccl-tests
                        
# 2025-10-18 15:31:35  0.00B 设置环境变量 NCCL_TESTS_COMMITISH
ENV NCCL_TESTS_COMMITISH=9a5c15461abcef145b907c54d04aea4e8d1cb21f
                        
# 2025-10-18 15:31:35  0.00B 设置环境变量 UCX_VFS_ENABLE
ENV UCX_VFS_ENABLE=no
                        
# 2025-10-18 15:31:35  0.00B 设置环境变量 PKG_CONFIG_PATH
ENV PKG_CONFIG_PATH=/opt/hpcx/hcoll/lib/pkgconfig:/opt/hpcx/sharp/lib/pkgconfig:/opt/hpcx/ucx/lib/pkgconfig:/opt/hpcx/ompi/lib/pkgconfig
                        
# 2025-10-18 15:31:35  0.00B 设置环境变量 CPATH
ENV CPATH=/opt/hpcx/ompi/include:/opt/hpcx/ucc/include:/opt/hpcx/ucx/include:/opt/hpcx/sharp/include:/opt/hpcx/hcoll/include
                        
# 2025-10-18 15:31:35  0.00B 设置环境变量 OLD_CPATH
ENV OLD_CPATH=
                        
# 2025-10-18 15:31:35  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/opt/hpcx/nccl_rdma_sharp_plugin/lib:/opt/hpcx/ompi/lib:/opt/hpcx/sharp/lib:/opt/hpcx/ucc/lib:/opt/hpcx/ucx/lib:/opt/hpcx/hcoll/lib:/opt/hpcx/ompi/lib:/usr/local/cuda/lib64/stubs
                        
# 2025-10-18 15:31:35  0.00B 设置环境变量 OLD_LIBRARY_PATH
ENV OLD_LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2025-10-18 15:31:35  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/opt/hpcx/nccl_rdma_sharp_plugin/lib:/opt/hpcx/ucc/lib/ucc:/opt/hpcx/ucc/lib:/opt/hpcx/ucx/lib/ucx:/opt/hpcx/ucx/lib:/opt/hpcx/sharp/lib:/opt/hpcx/hcoll/lib:/opt/hpcx/ompi/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2025-10-18 15:31:35  0.00B 设置环境变量 OLD_LD_LIBRARY_PATH
ENV OLD_LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2025-10-18 15:31:35  0.00B 设置环境变量 PATH
ENV PATH=/opt/hpcx/sharp/bin:/opt/hpcx/clusterkit/bin:/opt/hpcx/hcoll/bin:/opt/hpcx/ucc/bin:/opt/hpcx/ucx/bin:/opt/hpcx/ompi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-10-18 15:31:35  0.00B 设置环境变量 OLD_PATH
ENV OLD_PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-10-18 15:31:35  0.00B 设置环境变量 OPAL_PREFIX
ENV OPAL_PREFIX=/opt/hpcx/ompi
                        
# 2025-10-18 15:31:35  0.00B 设置环境变量 OSHMEM_HOME
ENV OSHMEM_HOME=/opt/hpcx/ompi
                        
# 2025-10-18 15:31:35  0.00B 设置环境变量 MPI_HOME
ENV MPI_HOME=/opt/hpcx/ompi
                        
# 2025-10-18 15:31:35  0.00B 设置环境变量 OMPI_HOME
ENV OMPI_HOME=/opt/hpcx/ompi
                        
# 2025-10-18 15:31:35  0.00B 设置环境变量 HPCX_CLUSTERKIT_DIR
ENV HPCX_CLUSTERKIT_DIR=/opt/hpcx/clusterkit
                        
# 2025-10-18 15:31:35  0.00B 设置环境变量 HPCX_IPM_DIR
ENV HPCX_IPM_DIR=
                        
# 2025-10-18 15:31:35  0.00B 设置环境变量 HPCX_OSU_CUDA_DIR
ENV HPCX_OSU_CUDA_DIR=/opt/hpcx/ompi/tests/osu-micro-benchmarks-cuda
                        
# 2025-10-18 15:31:35  0.00B 设置环境变量 HPCX_OSU_DIR
ENV HPCX_OSU_DIR=/opt/hpcx/ompi/tests/osu-micro-benchmarks
                        
# 2025-10-18 15:31:35  0.00B 设置环境变量 HPCX_MPI_TESTS_DIR
ENV HPCX_MPI_TESTS_DIR=/opt/hpcx/ompi/tests
                        
# 2025-10-18 15:31:35  0.00B 设置环境变量 HPCX_OSHMEM_DIR
ENV HPCX_OSHMEM_DIR=/opt/hpcx/ompi
                        
# 2025-10-18 15:31:35  0.00B 设置环境变量 HPCX_MPI_DIR
ENV HPCX_MPI_DIR=/opt/hpcx/ompi
                        
# 2025-10-18 15:31:35  0.00B 设置环境变量 HPCX_HCOLL_DIR
ENV HPCX_HCOLL_DIR=/opt/hpcx/hcoll
                        
# 2025-10-18 15:31:35  0.00B 设置环境变量 HPCX_NCCL_RDMA_SHARP_PLUGIN_DIR
ENV HPCX_NCCL_RDMA_SHARP_PLUGIN_DIR=/opt/hpcx/nccl_rdma_sharp_plugin
                        
# 2025-10-18 15:31:35  0.00B 设置环境变量 HPCX_SHARP_DIR
ENV HPCX_SHARP_DIR=/opt/hpcx/sharp
                        
# 2025-10-18 15:31:35  0.00B 设置环境变量 HPCX_UCC_DIR
ENV HPCX_UCC_DIR=/opt/hpcx/ucc
                        
# 2025-10-18 15:31:35  0.00B 设置环境变量 HPCX_UCX_DIR
ENV HPCX_UCX_DIR=/opt/hpcx/ucx
                        
# 2025-10-18 15:31:35  0.00B 设置环境变量 HPCX_DIR
ENV HPCX_DIR=/opt/hpcx
                        
# 2025-10-18 15:31:35  0.00B 
SHELL [/bin/sh -c]
                        
# 2025-10-18 15:31:35  2.73KB 执行命令并创建新的镜像层
RUN /bin/bash -c source /opt/hpcx/hpcx-init.sh &&     hpcx_load &&     alias install='install --owner=0 --group=0' &&     /tmp/printpaths.sh export       | install --mode=644 /dev/stdin /etc/profile.d/hpcx-env.sh &&     install -d --mode=0755 /etc/sudoers.d &&     /tmp/printpaths.sh       | sed -E -e '{           s:^([^=]+)=.*$:\1:g ;           /PATH/d ;           s:^.*$:Defaults env_keep += "\0":g         }'       | install --mode=440 /dev/stdin /etc/sudoers.d/hpcx-env &&     echo $LD_LIBRARY_PATH | tr ':' '\n'       | install --mode=644 /dev/stdin /etc/ld.so.conf.d/hpcx.conf &&     rm /tmp/printpaths.sh # buildkit
                        
# 2025-10-18 15:31:35  0.00B 
SHELL [/bin/bash -c]
                        
# 2025-10-18 15:31:35  689.00B 复制新文件或目录到容器中
COPY ./printpaths.sh /tmp # buildkit
                        
# 2025-10-18 15:31:35  37.18KB 执行命令并创建新的镜像层
RUN /bin/sh -c ldconfig # buildkit
                        
# 2025-10-15 15:15:22  1.46GB 复制新文件或目录到容器中
COPY /opt/hpcx /opt/hpcx # buildkit
                        
# 2025-10-15 15:06:50  2.32MB 复制新文件或目录到容器中
COPY /tmp/nvbandwidth/ / # buildkit
                        
# 2025-10-15 15:06:50  13.06MB 复制新文件或目录到容器中
COPY /tmp/perftest/ / # buildkit
                        
# 2025-10-18 15:31:26  1.92MB 执行命令并创建新的镜像层
RUN /bin/sh -c cd /tmp/install && dpkg -i *.deb # buildkit
                        
# 2025-10-18 15:31:25  570.72MB 执行命令并创建新的镜像层
RUN /bin/sh -c cd /tmp/install && dpkg -i *.deb # buildkit
                        
# 2025-10-15 15:04:03  8.13MB 执行命令并创建新的镜像层
RUN |2 NV_CUDNN_PACKAGE_HEADERS=libcudnn9-headers-cuda-12=9.13.0.50-1 DEBIAN_FRONTEND=noninteractive /bin/sh -c apt-get -qq update     && apt-get -qq install -y --no-install-recommends     ibverbs-utils libibverbs-dev libibumad3 libibumad-dev librdmacm-dev rdmacm-utils infiniband-diags ibverbs-utils     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-10-15 15:03:54  254.00B 执行命令并创建新的镜像层
RUN |2 NV_CUDNN_PACKAGE_HEADERS=libcudnn9-headers-cuda-12=9.13.0.50-1 DEBIAN_FRONTEND=noninteractive /bin/sh -c cd /etc/apt/sources.list.d/ && wget https://linux.mellanox.com/public/repo/mlnx_ofed/latest/ubuntu22.04/mellanox_mlnx_ofed.list # buildkit
                        
# 2025-10-15 15:03:53  5.11KB 执行命令并创建新的镜像层
RUN |2 NV_CUDNN_PACKAGE_HEADERS=libcudnn9-headers-cuda-12=9.13.0.50-1 DEBIAN_FRONTEND=noninteractive /bin/sh -c wget -qO - https://www.mellanox.com/downloads/ofed/RPM-GPG-KEY-Mellanox | apt-key add - # buildkit
                        
# 2025-10-15 15:03:53  1.85GB 执行命令并创建新的镜像层
RUN |2 NV_CUDNN_PACKAGE_HEADERS=libcudnn9-headers-cuda-12=9.13.0.50-1 DEBIAN_FRONTEND=noninteractive /bin/sh -c apt-get -qq update &&     apt-get -qq install -y         --allow-change-held-packages         --no-install-recommends         --allow-downgrades         build-essential libtool autoconf automake autotools-dev unzip         ca-certificates         wget curl openssh-server vim environment-modules         iputils-ping net-tools         libnuma1 libsubunit0 libpci-dev         libpmix-dev         datacenter-gpu-manager         git &&     apt-get clean &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-10-15 15:03:26  0.00B 定义构建参数
ARG DEBIAN_FRONTEND=noninteractive
                        
# 2025-10-15 15:03:26  967.84MB 执行命令并创建新的镜像层
RUN |1 NV_CUDNN_PACKAGE_HEADERS=libcudnn9-headers-cuda-12=9.13.0.50-1 /bin/sh -c apt-get -qq update &&     apt-get -qq install -y         --no-install-recommends         "${NV_CUDNN_PACKAGE}"         "${NV_CUDNN_PACKAGE_DEV}"         "${NV_CUDNN_PACKAGE_HEADERS}" &&     apt-mark hold "${NV_CUDNN_PACKAGE_NAME}" &&     apt-get clean &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-10-15 15:03:26  0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=9.13.0.50-1
                        
# 2025-10-15 15:03:26  0.00B 定义构建参数
ARG NV_CUDNN_PACKAGE_HEADERS=libcudnn9-headers-cuda-12=9.13.0.50-1
                        
# 2025-10-15 15:03:26  0.00B 设置环境变量 NV_CUDNN_PACKAGE_DEV
ENV NV_CUDNN_PACKAGE_DEV=libcudnn9-dev-cuda-12=9.13.0.50-1
                        
# 2025-10-15 15:03:26  0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn9-cuda-12=9.13.0.50-1
                        
# 2025-10-15 15:03:26  0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-12
                        
# 2025-10-15 15:03:26  0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=9.13.0.50-1
                        
# 2025-03-11 06:36:52  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2025-03-11 06:36:52  389.48KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
                        
# 2025-03-11 06:36:52  5.94GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-cudart-dev-12-8=${NV_CUDA_CUDART_DEV_VERSION}     cuda-command-line-tools-12-8=${NV_CUDA_LIB_VERSION}     cuda-minimal-build-12-8=${NV_CUDA_LIB_VERSION}     cuda-libraries-dev-12-8=${NV_CUDA_LIB_VERSION}     cuda-nvml-dev-12-8=${NV_NVML_DEV_VERSION}     ${NV_NVPROF_DEV_PACKAGE}     ${NV_LIBNPP_DEV_PACKAGE}     libcusparse-dev-12-8=${NV_LIBCUSPARSE_DEV_VERSION}     ${NV_LIBCUBLAS_DEV_PACKAGE}     ${NV_LIBNCCL_DEV_PACKAGE}     ${NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-03-11 06:36:52  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-03-11 06:36:52  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-03-11 06:36:52  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.25.1-1+cuda12.8
                        
# 2025-03-11 06:36:52  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.25.1-1
                        
# 2025-03-11 06:36:52  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.25.1-1
                        
# 2025-03-11 06:36:52  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
                        
# 2025-03-11 06:36:52  0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-8=12.8.90-1
                        
# 2025-03-11 06:36:52  0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=12.8.90-1
                        
# 2025-03-11 06:36:52  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-8=12.8.1-1
                        
# 2025-03-11 06:36:52  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.8.1-1
                        
# 2025-03-11 06:36:52  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-8=12.8.4.1-1
                        
# 2025-03-11 06:36:52  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-8
                        
# 2025-03-11 06:36:52  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=12.8.4.1-1
                        
# 2025-03-11 06:36:52  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-8=12.3.3.100-1
                        
# 2025-03-11 06:36:52  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=12.3.3.100-1
                        
# 2025-03-11 06:36:52  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.5.8.93-1
                        
# 2025-03-11 06:36:52  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=12.8.90-1
                        
# 2025-03-11 06:36:52  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=12.8.90-1
                        
# 2025-03-11 06:36:52  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.8.1-1
                        
# 2025-03-11 06:24:31  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2025-03-11 06:24:31  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2025-03-11 06:24:31  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2025-03-11 06:24:31  263.00KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
                        
# 2025-03-11 06:24:31  3.11GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-libraries-12-8=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-12-8=${NV_NVTX_VERSION}     libcusparse-12-8=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-03-11 06:24:31  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-03-11 06:24:31  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.25.1-1+cuda12.8
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.25.1-1
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.25.1-1
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-8=12.8.4.1-1
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.8.4.1-1
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-8
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.5.8.93-1
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-8=12.3.3.100-1
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.3.3.100-1
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.8.90-1
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.8.1-1
                        
# 2025-03-11 06:19:20  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2025-03-11 06:19:20  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2025-03-11 06:19:20  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2025-03-11 06:19:20  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64
                        
# 2025-03-11 06:19:20  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-03-11 06:19:20  22.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/cuda/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
                        
# 2025-03-11 06:19:20  203.35MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-cudart-12-8=${NV_CUDA_CUDART_VERSION}     cuda-compat-12-8     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-03-11 06:19:05  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.8.1
                        
# 2025-03-11 06:19:05  10.60MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     gnupg2 curl ca-certificates &&     curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${NVARCH}/cuda-keyring_1.1-1_all.deb &&     dpkg -i cuda-keyring_1.1-1_all.deb &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-03-11 06:19:05  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-03-11 06:19:05  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-03-11 06:19:05  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.8.90-1
                        
# 2025-03-11 06:19:05  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.8 brand=unknown,driver>=470,driver<471 brand=grid,driver>=470,driver<471 brand=tesla,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=vapps,driver>=470,driver<471 brand=vpc,driver>=470,driver<471 brand=vcs,driver>=470,driver<471 brand=vws,driver>=470,driver<471 brand=cloudgaming,driver>=470,driver<471 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=550,driver<551 brand=grid,driver>=550,driver<551 brand=tesla,driver>=550,driver<551 brand=nvidia,driver>=550,driver<551 brand=quadro,driver>=550,driver<551 brand=quadrortx,driver>=550,driver<551 brand=nvidiartx,driver>=550,driver<551 brand=vapps,driver>=550,driver<551 brand=vpc,driver>=550,driver<551 brand=vcs,driver>=550,driver<551 brand=vws,driver>=550,driver<551 brand=cloudgaming,driver>=550,driver<551 brand=unknown,driver>=560,driver<561 brand=grid,driver>=560,driver<561 brand=tesla,driver>=560,driver<561 brand=nvidia,driver>=560,driver<561 brand=quadro,driver>=560,driver<561 brand=quadrortx,driver>=560,driver<561 brand=nvidiartx,driver>=560,driver<561 brand=vapps,driver>=560,driver<561 brand=vpc,driver>=560,driver<561 brand=vcs,driver>=560,driver<561 brand=vws,driver>=560,driver<561 brand=cloudgaming,driver>=560,driver<561 brand=unknown,driver>=565,driver<566 brand=grid,driver>=565,driver<566 brand=tesla,driver>=565,driver<566 brand=nvidia,driver>=565,driver<566 brand=quadro,driver>=565,driver<566 brand=quadrortx,driver>=565,driver<566 brand=nvidiartx,driver>=565,driver<566 brand=vapps,driver>=565,driver<566 brand=vpc,driver>=565,driver<566 brand=vcs,driver>=565,driver<566 brand=vws,driver>=565,driver<566 brand=cloudgaming,driver>=565,driver<566
                        
# 2025-03-11 06:19:05  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2025-01-26 13:31:11  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-01-26 13:31:10  77.86MB 
/bin/sh -c #(nop) ADD file:1b6c8c9518be42fa2afe5e241ca31677fce58d27cdfa88baa91a65a259be3637 in / 
                        
# 2025-01-26 13:31:07  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2025-01-26 13:31:07  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2025-01-26 13:31:07  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2025-01-26 13:31:07  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息 

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    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-10-18T07:33:42.752123375Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/opt/hpcx/sharp/bin:/opt/hpcx/clusterkit/bin:/opt/hpcx/hcoll/bin:/opt/hpcx/ucc/bin:/opt/hpcx/ucx/bin:/opt/hpcx/ompi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "NVARCH=x86_64",
            "NVIDIA_REQUIRE_CUDA=cuda\u003e=12.8 brand=unknown,driver\u003e=470,driver\u003c471 brand=grid,driver\u003e=470,driver\u003c471 brand=tesla,driver\u003e=470,driver\u003c471 brand=nvidia,driver\u003e=470,driver\u003c471 brand=quadro,driver\u003e=470,driver\u003c471 brand=quadrortx,driver\u003e=470,driver\u003c471 brand=nvidiartx,driver\u003e=470,driver\u003c471 brand=vapps,driver\u003e=470,driver\u003c471 brand=vpc,driver\u003e=470,driver\u003c471 brand=vcs,driver\u003e=470,driver\u003c471 brand=vws,driver\u003e=470,driver\u003c471 brand=cloudgaming,driver\u003e=470,driver\u003c471 brand=unknown,driver\u003e=535,driver\u003c536 brand=grid,driver\u003e=535,driver\u003c536 brand=tesla,driver\u003e=535,driver\u003c536 brand=nvidia,driver\u003e=535,driver\u003c536 brand=quadro,driver\u003e=535,driver\u003c536 brand=quadrortx,driver\u003e=535,driver\u003c536 brand=nvidiartx,driver\u003e=535,driver\u003c536 brand=vapps,driver\u003e=535,driver\u003c536 brand=vpc,driver\u003e=535,driver\u003c536 brand=vcs,driver\u003e=535,driver\u003c536 brand=vws,driver\u003e=535,driver\u003c536 brand=cloudgaming,driver\u003e=535,driver\u003c536 brand=unknown,driver\u003e=550,driver\u003c551 brand=grid,driver\u003e=550,driver\u003c551 brand=tesla,driver\u003e=550,driver\u003c551 brand=nvidia,driver\u003e=550,driver\u003c551 brand=quadro,driver\u003e=550,driver\u003c551 brand=quadrortx,driver\u003e=550,driver\u003c551 brand=nvidiartx,driver\u003e=550,driver\u003c551 brand=vapps,driver\u003e=550,driver\u003c551 brand=vpc,driver\u003e=550,driver\u003c551 brand=vcs,driver\u003e=550,driver\u003c551 brand=vws,driver\u003e=550,driver\u003c551 brand=cloudgaming,driver\u003e=550,driver\u003c551 brand=unknown,driver\u003e=560,driver\u003c561 brand=grid,driver\u003e=560,driver\u003c561 brand=tesla,driver\u003e=560,driver\u003c561 brand=nvidia,driver\u003e=560,driver\u003c561 brand=quadro,driver\u003e=560,driver\u003c561 brand=quadrortx,driver\u003e=560,driver\u003c561 brand=nvidiartx,driver\u003e=560,driver\u003c561 brand=vapps,driver\u003e=560,driver\u003c561 brand=vpc,driver\u003e=560,driver\u003c561 brand=vcs,driver\u003e=560,driver\u003c561 brand=vws,driver\u003e=560,driver\u003c561 brand=cloudgaming,driver\u003e=560,driver\u003c561 brand=unknown,driver\u003e=565,driver\u003c566 brand=grid,driver\u003e=565,driver\u003c566 brand=tesla,driver\u003e=565,driver\u003c566 brand=nvidia,driver\u003e=565,driver\u003c566 brand=quadro,driver\u003e=565,driver\u003c566 brand=quadrortx,driver\u003e=565,driver\u003c566 brand=nvidiartx,driver\u003e=565,driver\u003c566 brand=vapps,driver\u003e=565,driver\u003c566 brand=vpc,driver\u003e=565,driver\u003c566 brand=vcs,driver\u003e=565,driver\u003c566 brand=vws,driver\u003e=565,driver\u003c566 brand=cloudgaming,driver\u003e=565,driver\u003c566",
            "NV_CUDA_CUDART_VERSION=12.8.90-1",
            "CUDA_VERSION=12.8.1",
            "LD_LIBRARY_PATH=/opt/hpcx/nccl_rdma_sharp_plugin/lib:/opt/hpcx/ucc/lib/ucc:/opt/hpcx/ucc/lib:/opt/hpcx/ucx/lib/ucx:/opt/hpcx/ucx/lib:/opt/hpcx/sharp/lib:/opt/hpcx/hcoll/lib:/opt/hpcx/ompi/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NV_CUDA_LIB_VERSION=12.8.1-1",
            "NV_NVTX_VERSION=12.8.90-1",
            "NV_LIBNPP_VERSION=12.3.3.100-1",
            "NV_LIBNPP_PACKAGE=libnpp-12-8=12.3.3.100-1",
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