docker.io/nvidia/cuda:11.2.2-devel-ubuntu20.04 linux/amd64

docker.io/nvidia/cuda:11.2.2-devel-ubuntu20.04 - 国内下载镜像源 浏览次数:48

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:11.2.2-devel-ubuntu20.04
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.2.2-devel-ubuntu20.04
镜像ID sha256:7d56485bb5d2967c674fd1cf8c9d466224e3f49a97b3bcf2e5789f51b31ea35a
镜像TAG 11.2.2-devel-ubuntu20.04
大小 4.90GB
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/amd64
浏览量 48 次
贡献者 sd*****i@163.com
镜像创建 2023-11-10T08:35:20.419629702Z
同步时间 2025-04-29 22:22
更新时间 2025-05-09 09:59
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=x86_64 NVIDIA_REQUIRE_CUDA=cuda>=11.2 brand=tesla,driver>=418,driver<419 brand=tesla,driver>=450,driver<451 NV_CUDA_CUDART_VERSION=11.2.152-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-2 CUDA_VERSION=11.2.2 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=11.2.2-1 NV_NVTX_VERSION=11.2.152-1 NV_LIBNPP_VERSION=11.3.2.152-1 NV_LIBNPP_PACKAGE=libnpp-11-2=11.3.2.152-1 NV_LIBCUSPARSE_VERSION=11.4.1.1152-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-2 NV_LIBCUBLAS_VERSION=11.4.1.1043-1 NV_LIBCUBLAS_PACKAGE=libcublas-11-2=11.4.1.1043-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.8.4-1 NCCL_VERSION=2.8.4-1 NV_LIBNCCL_PACKAGE=libnccl2=2.8.4-1+cuda11.2 NVIDIA_PRODUCT_NAME=CUDA NV_CUDA_CUDART_DEV_VERSION=11.2.152-1 NV_NVML_DEV_VERSION=11.2.152-1 NV_LIBCUSPARSE_DEV_VERSION=11.4.1.1152-1 NV_LIBNPP_DEV_VERSION=11.3.2.152-1 NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-2=11.3.2.152-1 NV_LIBCUBLAS_DEV_VERSION=11.4.1.1043-1 NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-2 NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-2=11.4.1.1043-1 NV_CUDA_NSIGHT_COMPUTE_VERSION=11.2.2-1 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-11-2=11.2.2-1 NV_NVPROF_VERSION=11.2.152-1 NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-2=11.2.152-1 NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev NV_LIBNCCL_DEV_PACKAGE_VERSION=2.8.4-1 NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.8.4-1+cuda11.2 LIBRARY_PATH=/usr/local/cuda/lib64/stubs
镜像标签
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:11.2.2-devel-ubuntu20.04
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.2.2-devel-ubuntu20.04  docker.io/nvidia/cuda:11.2.2-devel-ubuntu20.04

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.2.2-devel-ubuntu20.04
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.2.2-devel-ubuntu20.04  docker.io/nvidia/cuda:11.2.2-devel-ubuntu20.04

Shell快速替换命令

sed -i 's#nvidia/cuda:11.2.2-devel-ubuntu20.04#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.2.2-devel-ubuntu20.04#' 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:11.2.2-devel-ubuntu20.04 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.2.2-devel-ubuntu20.04  docker.io/nvidia/cuda:11.2.2-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:11.2.2-devel-ubuntu20.04 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.2.2-devel-ubuntu20.04  docker.io/nvidia/cuda:11.2.2-devel-ubuntu20.04'

镜像构建历史


# 2023-11-10 16:35:20  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2023-11-10 16:35:20  369.15KB 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
                        
# 2023-11-10 16:35:19  2.99GB 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     libtinfo5 libncursesw5     cuda-cudart-dev-11-2=${NV_CUDA_CUDART_DEV_VERSION}     cuda-command-line-tools-11-2=${NV_CUDA_LIB_VERSION}     cuda-minimal-build-11-2=${NV_CUDA_LIB_VERSION}     cuda-libraries-dev-11-2=${NV_CUDA_LIB_VERSION}     cuda-nvml-dev-11-2=${NV_NVML_DEV_VERSION}     ${NV_NVPROF_DEV_PACKAGE}     ${NV_LIBNPP_DEV_PACKAGE}     libcusparse-dev-11-2=${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 16:35:19  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 16:35:19  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 16:35:19  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.8.4-1+cuda11.2
                        
# 2023-11-10 16:35:19  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.8.4-1
                        
# 2023-11-10 16:35:19  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.8.4-1
                        
# 2023-11-10 16:35:19  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
                        
# 2023-11-10 16:35:19  0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-2=11.2.152-1
                        
# 2023-11-10 16:35:19  0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=11.2.152-1
                        
# 2023-11-10 16:35:19  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-11-2=11.2.2-1
                        
# 2023-11-10 16:35:19  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=11.2.2-1
                        
# 2023-11-10 16:35:19  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-2=11.4.1.1043-1
                        
# 2023-11-10 16:35:19  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-2
                        
# 2023-11-10 16:35:19  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=11.4.1.1043-1
                        
# 2023-11-10 16:35:19  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-2=11.3.2.152-1
                        
# 2023-11-10 16:35:19  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=11.3.2.152-1
                        
# 2023-11-10 16:35:19  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=11.4.1.1152-1
                        
# 2023-11-10 16:35:19  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=11.2.152-1
                        
# 2023-11-10 16:35:19  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=11.2.152-1
                        
# 2023-11-10 16:35:19  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.2.2-1
                        
# 2023-11-10 16:26:24  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2023-11-10 16:26:24  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2023-11-10 16:26:24  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2023-11-10 16:26:24  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 16:26:24  252.27KB 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
                        
# 2023-11-10 16:26:23  1.79GB 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-11-2=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-11-2=${NV_NVTX_VERSION}     libcusparse-11-2=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 16:26:23  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 16:26:23  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 16:26:23  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.8.4-1+cuda11.2
                        
# 2023-11-10 16:26:23  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.8.4-1
                        
# 2023-11-10 16:26:23  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.8.4-1
                        
# 2023-11-10 16:26:23  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2023-11-10 16:26:23  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-2=11.4.1.1043-1
                        
# 2023-11-10 16:26:23  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=11.4.1.1043-1
                        
# 2023-11-10 16:26:23  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-2
                        
# 2023-11-10 16:26:23  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=11.4.1.1152-1
                        
# 2023-11-10 16:26:23  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-11-2=11.3.2.152-1
                        
# 2023-11-10 16:26:23  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=11.3.2.152-1
                        
# 2023-11-10 16:26:23  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=11.2.152-1
                        
# 2023-11-10 16:26:23  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.2.2-1
                        
# 2023-11-10 16:19:37  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2023-11-10 16:19:37  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-11-10 16:19:37  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2023-11-10 16:19:37  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 16:19:37  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 16:19:37  46.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /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 16:19:37  33.47MB 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-11-2=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && ln -s cuda-11.2 /usr/local/cuda     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 16:19:26  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=11.2.2
                        
# 2023-11-10 16:19:26  18.32MB 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 -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 16:19:26  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 16:19:26  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 16:19:26  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-2
                        
# 2023-11-10 16:19:26  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=11.2.152-1
                        
# 2023-11-10 16:19:26  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=11.2 brand=tesla,driver>=418,driver<419 brand=tesla,driver>=450,driver<451
                        
# 2023-11-10 16:19:26  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2023-10-03 18:45:52  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2023-10-03 18:45:51  72.79MB 
/bin/sh -c #(nop) ADD file:4809da414c2d478b4d991cbdaa2df457f2b3d07d0ff6cf673f09a66f90833e81 in / 
                        
# 2023-10-03 18:45:50  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=20.04
                        
# 2023-10-03 18:45:50  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2023-10-03 18:45:50  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2023-10-03 18:45:50  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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    "Id": "sha256:7d56485bb5d2967c674fd1cf8c9d466224e3f49a97b3bcf2e5789f51b31ea35a",
    "RepoTags": [
        "nvidia/cuda:11.2.2-devel-ubuntu20.04",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.2.2-devel-ubuntu20.04"
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    "RepoDigests": [
        "nvidia/cuda@sha256:65879f7299f35cd232f3b54e24081d569db2be1f31820728aef8a44240a305a8",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda@sha256:5bccb52f191d0fc914684d23f1910ac0c4c2f5a418167ca1b314f501f4a5e87d"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2023-11-10T08:35:20.419629702Z",
    "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=x86_64",
            "NVIDIA_REQUIRE_CUDA=cuda\u003e=11.2 brand=tesla,driver\u003e=418,driver\u003c419 brand=tesla,driver\u003e=450,driver\u003c451",
            "NV_CUDA_CUDART_VERSION=11.2.152-1",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-2",
            "CUDA_VERSION=11.2.2",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NV_CUDA_LIB_VERSION=11.2.2-1",
            "NV_NVTX_VERSION=11.2.152-1",
            "NV_LIBNPP_VERSION=11.3.2.152-1",
            "NV_LIBNPP_PACKAGE=libnpp-11-2=11.3.2.152-1",
            "NV_LIBCUSPARSE_VERSION=11.4.1.1152-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-2",
            "NV_LIBCUBLAS_VERSION=11.4.1.1043-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-11-2=11.4.1.1043-1",
            "NV_LIBNCCL_PACKAGE_NAME=libnccl2",
            "NV_LIBNCCL_PACKAGE_VERSION=2.8.4-1",
            "NCCL_VERSION=2.8.4-1",
            "NV_LIBNCCL_PACKAGE=libnccl2=2.8.4-1+cuda11.2",
            "NVIDIA_PRODUCT_NAME=CUDA",
            "NV_CUDA_CUDART_DEV_VERSION=11.2.152-1",
            "NV_NVML_DEV_VERSION=11.2.152-1",
            "NV_LIBCUSPARSE_DEV_VERSION=11.4.1.1152-1",
            "NV_LIBNPP_DEV_VERSION=11.3.2.152-1",
            "NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-2=11.3.2.152-1",
            "NV_LIBCUBLAS_DEV_VERSION=11.4.1.1043-1",
            "NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-2",
            "NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-2=11.4.1.1043-1",
            "NV_CUDA_NSIGHT_COMPUTE_VERSION=11.2.2-1",
            "NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-11-2=11.2.2-1",
            "NV_NVPROF_VERSION=11.2.152-1",
            "NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-2=11.2.152-1",
            "NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev",
            "NV_LIBNCCL_DEV_PACKAGE_VERSION=2.8.4-1",
            "NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.8.4-1+cuda11.2",
            "LIBRARY_PATH=/usr/local/cuda/lib64/stubs"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "",
        "Entrypoint": [
            "/opt/nvidia/nvidia_entrypoint.sh"
        ],
        "OnBuild": null,
        "Labels": {
            "maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "20.04"
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