docker.io/nvidia/cuda:11.4.3-cudnn8-devel-ubuntu20.04 linux/arm64

docker.io/nvidia/cuda:11.4.3-cudnn8-devel-ubuntu20.04 - 国内下载镜像源 浏览次数:61 温馨提示: 这是一个 linux/arm64 系统架构镜像

NVIDIA Cuda 是一个基于 Docker 的容器镜像,用于运行 NVIDIA CUDA GPU 加速计算环境。该镜像提供了 CUDA 11.4 及更高版本的支持,可以在 Linux、Windows 和 macOS 等平台上运行。

源镜像 docker.io/nvidia/cuda:11.4.3-cudnn8-devel-ubuntu20.04
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.4.3-cudnn8-devel-ubuntu20.04-linuxarm64
镜像ID sha256:23e0131889b9d85e0870519ac577345f44be69f99a1f48a2f7cdffa0bb0c9e7d
镜像TAG 11.4.3-cudnn8-devel-ubuntu20.04-linuxarm64
大小 9.00GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD
启动入口 /opt/nvidia/nvidia_entrypoint.sh
工作目录
OS/平台 linux/arm64
浏览量 61 次
贡献者 18********2@163.com
镜像创建 2023-11-10T08:57:01.356479176Z
同步时间 2025-08-18 19:51
更新时间 2025-08-30 04:01
环境变量
PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin NVARCH=sbsa NVIDIA_REQUIRE_CUDA=cuda>=11.4 NV_CUDA_CUDART_VERSION=11.4.148-1 CUDA_VERSION=11.4.3 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=11.4.3-1 NV_NVTX_VERSION=11.4.120-1 NV_LIBNPP_VERSION=11.4.0.110-1 NV_LIBNPP_PACKAGE=libnpp-11-4=11.4.0.110-1 NV_LIBCUSPARSE_VERSION=11.6.0.120-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-4 NV_LIBCUBLAS_VERSION=11.6.5.2-1 NV_LIBCUBLAS_PACKAGE=libcublas-11-4=11.6.5.2-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.11.4-1 NCCL_VERSION=2.11.4-1 NV_LIBNCCL_PACKAGE=libnccl2=2.11.4-1+cuda11.4 NVIDIA_PRODUCT_NAME=CUDA NV_CUDA_CUDART_DEV_VERSION=11.4.148-1 NV_NVML_DEV_VERSION=11.4.120-1 NV_LIBCUSPARSE_DEV_VERSION=11.6.0.120-1 NV_LIBNPP_DEV_VERSION=11.4.0.110-1 NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-4=11.4.0.110-1 NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-4 NV_LIBCUBLAS_DEV_VERSION=11.6.5.2-1 NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-4=11.6.5.2-1 NV_CUDA_NSIGHT_COMPUTE_VERSION=11.4.3-1 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-11-4=11.4.3-1 NV_NVPROF_VERSION=11.4.120-1 NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-4=11.4.120-1 NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev NV_LIBNCCL_DEV_PACKAGE_VERSION=2.11.4-1 NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.11.4-1+cuda11.4 LIBRARY_PATH=/usr/local/cuda/lib64/stubs NV_CUDNN_VERSION=8.2.4.12 NV_CUDNN_PACKAGE_NAME=libcudnn8 NV_CUDNN_PACKAGE=libcudnn8=8.2.4.12-1+cuda11.4 NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.2.4.12-1+cuda11.4
镜像标签
8.2.4.12: com.nvidia.cudnn.version NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer ubuntu: org.opencontainers.image.ref.name 20.04: org.opencontainers.image.version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.4.3-cudnn8-devel-ubuntu20.04-linuxarm64
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.4.3-cudnn8-devel-ubuntu20.04-linuxarm64  docker.io/nvidia/cuda:11.4.3-cudnn8-devel-ubuntu20.04

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.4.3-cudnn8-devel-ubuntu20.04-linuxarm64
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.4.3-cudnn8-devel-ubuntu20.04-linuxarm64  docker.io/nvidia/cuda:11.4.3-cudnn8-devel-ubuntu20.04

Shell快速替换命令

sed -i 's#nvidia/cuda:11.4.3-cudnn8-devel-ubuntu20.04#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.4.3-cudnn8-devel-ubuntu20.04-linuxarm64#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.4.3-cudnn8-devel-ubuntu20.04-linuxarm64 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.4.3-cudnn8-devel-ubuntu20.04-linuxarm64  docker.io/nvidia/cuda:11.4.3-cudnn8-devel-ubuntu20.04'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.4.3-cudnn8-devel-ubuntu20.04-linuxarm64 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.4.3-cudnn8-devel-ubuntu20.04-linuxarm64  docker.io/nvidia/cuda:11.4.3-cudnn8-devel-ubuntu20.04'

镜像构建历史


# 2023-11-10 16:57:01  3.91GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=arm64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     ${NV_CUDNN_PACKAGE}     ${NV_CUDNN_PACKAGE_DEV}     && apt-mark hold ${NV_CUDNN_PACKAGE_NAME}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 16:57:01  0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=8.2.4.12
                        
# 2023-11-10 16:57:01  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 16:57:01  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 16:57:01  0.00B 设置环境变量 NV_CUDNN_PACKAGE_DEV
ENV NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.2.4.12-1+cuda11.4
                        
# 2023-11-10 16:57:01  0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn8=8.2.4.12-1+cuda11.4
                        
# 2023-11-10 16:57:01  0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn8
                        
# 2023-11-10 16:57:01  0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=8.2.4.12
                        
# 2023-11-10 16:31:55  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2023-11-10 16:31:55  371.01KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=arm64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
                        
# 2023-11-10 16:31:53  2.98GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=arm64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     libtinfo5 libncursesw5     cuda-cudart-dev-11-4=${NV_CUDA_CUDART_DEV_VERSION}     cuda-command-line-tools-11-4=${NV_CUDA_LIB_VERSION}     cuda-minimal-build-11-4=${NV_CUDA_LIB_VERSION}     cuda-libraries-dev-11-4=${NV_CUDA_LIB_VERSION}     cuda-nvml-dev-11-4=${NV_NVML_DEV_VERSION}     ${NV_NVPROF_DEV_PACKAGE}     ${NV_LIBNPP_DEV_PACKAGE}     libcusparse-dev-11-4=${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
                        
# 2023-11-10 16:31:53  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 16:31:53  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 16:31:53  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.11.4-1+cuda11.4
                        
# 2023-11-10 16:31:53  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.11.4-1
                        
# 2023-11-10 16:31:53  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.11.4-1
                        
# 2023-11-10 16:31:53  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
                        
# 2023-11-10 16:31:53  0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-4=11.4.120-1
                        
# 2023-11-10 16:31:53  0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=11.4.120-1
                        
# 2023-11-10 16:31:53  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-11-4=11.4.3-1
                        
# 2023-11-10 16:31:53  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=11.4.3-1
                        
# 2023-11-10 16:31:53  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-4=11.6.5.2-1
                        
# 2023-11-10 16:31:53  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=11.6.5.2-1
                        
# 2023-11-10 16:31:53  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-4
                        
# 2023-11-10 16:31:53  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-4=11.4.0.110-1
                        
# 2023-11-10 16:31:53  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=11.4.0.110-1
                        
# 2023-11-10 16:31:53  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=11.6.0.120-1
                        
# 2023-11-10 16:31:53  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=11.4.120-1
                        
# 2023-11-10 16:31:53  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=11.4.148-1
                        
# 2023-11-10 16:31:53  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.4.3-1
                        
# 2023-11-10 16:19:17  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2023-11-10 16:19:17  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2023-11-10 16:19:17  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2023-11-10 16:19:17  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2023-11-10 16:19:17  256.05KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=arm64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
                        
# 2023-11-10 16:19:15  2.03GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=arm64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-libraries-11-4=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-11-4=${NV_NVTX_VERSION}     libcusparse-11-4=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 16:19:15  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 16:19:15  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 16:19:15  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.11.4-1+cuda11.4
                        
# 2023-11-10 16:19:15  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.11.4-1
                        
# 2023-11-10 16:19:15  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.11.4-1
                        
# 2023-11-10 16:19:15  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2023-11-10 16:19:15  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-4=11.6.5.2-1
                        
# 2023-11-10 16:19:15  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=11.6.5.2-1
                        
# 2023-11-10 16:19:15  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-4
                        
# 2023-11-10 16:19:15  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=11.6.0.120-1
                        
# 2023-11-10 16:19:15  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-11-4=11.4.0.110-1
                        
# 2023-11-10 16:19:15  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=11.4.0.110-1
                        
# 2023-11-10 16:19:15  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=11.4.120-1
                        
# 2023-11-10 16:19:15  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.4.3-1
                        
# 2023-11-10 16:12:21  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2023-11-10 16:12:21  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-11-10 16:12:21  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2023-11-10 16:12:21  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2023-11-10 16:12:21  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2023-11-10 16:12:21  46.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=arm64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf     && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
                        
# 2023-11-10 16:12:20  1.42MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=arm64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-cudart-11-4=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 16:11:18  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=11.4.3
                        
# 2023-11-10 16:11:18  17.42MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=arm64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     gnupg2 curl ca-certificates &&     curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${NVARCH}/3bf863cc.pub | apt-key add - &&     echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 16:11:18  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 16:11:18  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 16:11:18  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=11.4.148-1
                        
# 2023-11-10 16:11:18  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA
ENV NVIDIA_REQUIRE_CUDA=cuda>=11.4
                        
# 2023-11-10 16:11:18  0.00B 设置环境变量 NVARCH
ENV NVARCH=sbsa
                        
# 2023-10-03 19:04:17  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2023-10-03 19:04:16  65.68MB 
/bin/sh -c #(nop) ADD file:f70cc2610ea8fcd25e6e9ae727eb9345d5b7198102f6a6d8e458ab8f99efefc3 in / 
                        
# 2023-10-03 19:04:10  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=20.04
                        
# 2023-10-03 19:04:09  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2023-10-03 19:04:09  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2023-10-03 19:04:09  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

{
    "Id": "sha256:23e0131889b9d85e0870519ac577345f44be69f99a1f48a2f7cdffa0bb0c9e7d",
    "RepoTags": [
        "nvidia/cuda:11.4.3-cudnn8-devel-ubuntu20.04",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.4.3-cudnn8-devel-ubuntu20.04-linuxarm64"
    ],
    "RepoDigests": [
        "nvidia/cuda@sha256:6a25ce9a21cf6f9e37bc09022e2177fd8bf6cfb8fca47400a1409f37252985ff",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda@sha256:4b682bf776f2d2ffac0458fb9d32496fd7b0459ea517d8cc12ae8a9fc3f157c3"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2023-11-10T08:57:01.356479176Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "NVARCH=sbsa",
            "NVIDIA_REQUIRE_CUDA=cuda\u003e=11.4",
            "NV_CUDA_CUDART_VERSION=11.4.148-1",
            "CUDA_VERSION=11.4.3",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NV_CUDA_LIB_VERSION=11.4.3-1",
            "NV_NVTX_VERSION=11.4.120-1",
            "NV_LIBNPP_VERSION=11.4.0.110-1",
            "NV_LIBNPP_PACKAGE=libnpp-11-4=11.4.0.110-1",
            "NV_LIBCUSPARSE_VERSION=11.6.0.120-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-4",
            "NV_LIBCUBLAS_VERSION=11.6.5.2-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-11-4=11.6.5.2-1",
            "NV_LIBNCCL_PACKAGE_NAME=libnccl2",
            "NV_LIBNCCL_PACKAGE_VERSION=2.11.4-1",
            "NCCL_VERSION=2.11.4-1",
            "NV_LIBNCCL_PACKAGE=libnccl2=2.11.4-1+cuda11.4",
            "NVIDIA_PRODUCT_NAME=CUDA",
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