docker.io/nvidia/cuda:12.3.2-devel-ubuntu20.04 linux/arm64

docker.io/nvidia/cuda:12.3.2-devel-ubuntu20.04 - 国内下载镜像源 浏览次数:15 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:12.3.2-devel-ubuntu20.04
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.3.2-devel-ubuntu20.04-linuxarm64
镜像ID sha256:4d80fece93f711d1b6fd5fc983cf9a4bca15ce9575ea99ab9de6d639ee89abc5
镜像TAG 12.3.2-devel-ubuntu20.04-linuxarm64
大小 5.65GB
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 15 次
贡献者
镜像创建 2024-02-28T00:02:31.671548922Z
同步时间 2025-01-16 15:58
更新时间 2025-01-18 09:37
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>=12.3 NV_CUDA_CUDART_VERSION=12.3.101-1 CUDA_VERSION=12.3.2 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=12.3.2-1 NV_NVTX_VERSION=12.3.101-1 NV_LIBNPP_VERSION=12.2.3.2-1 NV_LIBNPP_PACKAGE=libnpp-12-3=12.2.3.2-1 NV_LIBCUSPARSE_VERSION=12.2.0.103-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-3 NV_LIBCUBLAS_VERSION=12.3.4.1-1 NV_LIBCUBLAS_PACKAGE=libcublas-12-3=12.3.4.1-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.20.3-1 NCCL_VERSION=2.20.3-1 NV_LIBNCCL_PACKAGE=libnccl2=2.20.3-1+cuda12.3 NVIDIA_PRODUCT_NAME=CUDA NV_CUDA_CUDART_DEV_VERSION=12.3.101-1 NV_NVML_DEV_VERSION=12.3.101-1 NV_LIBCUSPARSE_DEV_VERSION=12.2.0.103-1 NV_LIBNPP_DEV_VERSION=12.2.3.2-1 NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-3=12.2.3.2-1 NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-3 NV_LIBCUBLAS_DEV_VERSION=12.3.4.1-1 NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-3=12.3.4.1-1 NV_CUDA_NSIGHT_COMPUTE_VERSION=12.3.2-1 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-3=12.3.2-1 NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev NV_LIBNCCL_DEV_PACKAGE_VERSION=2.20.3-1 NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.20.3-1+cuda12.3 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 无权限下载?点我修复

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.3.2-devel-ubuntu20.04-linuxarm64
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.3.2-devel-ubuntu20.04-linuxarm64  docker.io/nvidia/cuda:12.3.2-devel-ubuntu20.04

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.3.2-devel-ubuntu20.04-linuxarm64
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.3.2-devel-ubuntu20.04-linuxarm64  docker.io/nvidia/cuda:12.3.2-devel-ubuntu20.04

Shell快速替换命令

sed -i 's#nvidia/cuda:12.3.2-devel-ubuntu20.04#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.3.2-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:12.3.2-devel-ubuntu20.04-linuxarm64 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.3.2-devel-ubuntu20.04-linuxarm64  docker.io/nvidia/cuda:12.3.2-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:12.3.2-devel-ubuntu20.04-linuxarm64 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.3.2-devel-ubuntu20.04-linuxarm64  docker.io/nvidia/cuda:12.3.2-devel-ubuntu20.04'

镜像构建历史


# 2024-02-28 08:02:31  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2024-02-28 08:02:31  376.78KB 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
                        
# 2024-02-28 08:02:30  3.63GB 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-12-3=${NV_CUDA_CUDART_DEV_VERSION}     cuda-command-line-tools-12-3=${NV_CUDA_LIB_VERSION}     cuda-minimal-build-12-3=${NV_CUDA_LIB_VERSION}     cuda-libraries-dev-12-3=${NV_CUDA_LIB_VERSION}     cuda-nvml-dev-12-3=${NV_NVML_DEV_VERSION}     ${NV_NVPROF_DEV_PACKAGE}     ${NV_LIBNPP_DEV_PACKAGE}     libcusparse-dev-12-3=${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
                        
# 2024-02-28 08:02:30  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-02-28 08:02:30  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-02-28 08:02:30  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.20.3-1+cuda12.3
                        
# 2024-02-28 08:02:30  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.20.3-1
                        
# 2024-02-28 08:02:30  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.20.3-1
                        
# 2024-02-28 08:02:30  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
                        
# 2024-02-28 08:02:30  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-3=12.3.2-1
                        
# 2024-02-28 08:02:30  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.3.2-1
                        
# 2024-02-28 08:02:30  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-3=12.3.4.1-1
                        
# 2024-02-28 08:02:30  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=12.3.4.1-1
                        
# 2024-02-28 08:02:30  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-3
                        
# 2024-02-28 08:02:30  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-3=12.2.3.2-1
                        
# 2024-02-28 08:02:30  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=12.2.3.2-1
                        
# 2024-02-28 08:02:30  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.2.0.103-1
                        
# 2024-02-28 08:02:30  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=12.3.101-1
                        
# 2024-02-28 08:02:30  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=12.3.101-1
                        
# 2024-02-28 08:02:30  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.3.2-1
                        
# 2024-02-28 07:49:34  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2024-02-28 07:49:34  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2024-02-28 07:49:34  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2024-02-28 07:49:34  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2024-02-28 07:49:34  258.39KB 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
                        
# 2024-02-28 07:49:33  1.93GB 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-12-3=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-12-3=${NV_NVTX_VERSION}     libcusparse-12-3=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-02-28 07:49:33  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-02-28 07:49:33  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-02-28 07:49:33  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.20.3-1+cuda12.3
                        
# 2024-02-28 07:49:33  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.20.3-1
                        
# 2024-02-28 07:49:33  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.20.3-1
                        
# 2024-02-28 07:49:33  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2024-02-28 07:49:33  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-3=12.3.4.1-1
                        
# 2024-02-28 07:49:33  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.3.4.1-1
                        
# 2024-02-28 07:49:33  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-3
                        
# 2024-02-28 07:49:33  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.2.0.103-1
                        
# 2024-02-28 07:49:33  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-3=12.2.3.2-1
                        
# 2024-02-28 07:49:33  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.2.3.2-1
                        
# 2024-02-28 07:49:33  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.3.101-1
                        
# 2024-02-28 07:49:33  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.3.2-1
                        
# 2024-02-28 07:42:33  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2024-02-28 07:42:33  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2024-02-28 07:42:33  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2024-02-28 07:42:33  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2024-02-28 07:42:33  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
                        
# 2024-02-28 07:42:33  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
                        
# 2024-02-28 07:42:32  1.46MB 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-12-3=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-02-28 07:41:49  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.3.2
                        
# 2024-02-28 07:41:49  17.44MB 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
                        
# 2024-02-28 07:41:49  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-02-28 07:41:49  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-02-28 07:41:49  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.3.101-1
                        
# 2024-02-28 07:41:49  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA
ENV NVIDIA_REQUIRE_CUDA=CUDA>=12.3
                        
# 2024-02-28 07:41:49  0.00B 设置环境变量 NVARCH
ENV NVARCH=sbsa
                        
# 2024-01-23 21:04:27  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2024-01-23 21:04:27  65.65MB 
/bin/sh -c #(nop) ADD file:9497e9dbcde9a04e764625c77c975cfced1dd0bb3bb7717572ea47621f3c12a7 in / 
                        
# 2024-01-23 21:04:26  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=20.04
                        
# 2024-01-23 21:04:26  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2024-01-23 21:04:26  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2024-01-23 21:04:26  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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    "RepoTags": [
        "nvidia/cuda:12.3.2-devel-ubuntu20.04",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.3.2-devel-ubuntu20.04-linuxarm64"
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    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2024-02-28T00:02:31.671548922Z",
    "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=12.3",
            "NV_CUDA_CUDART_VERSION=12.3.101-1",
            "CUDA_VERSION=12.3.2",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NV_CUDA_LIB_VERSION=12.3.2-1",
            "NV_NVTX_VERSION=12.3.101-1",
            "NV_LIBNPP_VERSION=12.2.3.2-1",
            "NV_LIBNPP_PACKAGE=libnpp-12-3=12.2.3.2-1",
            "NV_LIBCUSPARSE_VERSION=12.2.0.103-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-3",
            "NV_LIBCUBLAS_VERSION=12.3.4.1-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-12-3=12.3.4.1-1",
            "NV_LIBNCCL_PACKAGE_NAME=libnccl2",
            "NV_LIBNCCL_PACKAGE_VERSION=2.20.3-1",
            "NCCL_VERSION=2.20.3-1",
            "NV_LIBNCCL_PACKAGE=libnccl2=2.20.3-1+cuda12.3",
            "NVIDIA_PRODUCT_NAME=CUDA",
            "NV_CUDA_CUDART_DEV_VERSION=12.3.101-1",
            "NV_NVML_DEV_VERSION=12.3.101-1",
            "NV_LIBCUSPARSE_DEV_VERSION=12.2.0.103-1",
            "NV_LIBNPP_DEV_VERSION=12.2.3.2-1",
            "NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-3=12.2.3.2-1",
            "NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-3",
            "NV_LIBCUBLAS_DEV_VERSION=12.3.4.1-1",
            "NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-3=12.3.4.1-1",
            "NV_CUDA_NSIGHT_COMPUTE_VERSION=12.3.2-1",
            "NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-3=12.3.2-1",
            "NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev",
            "NV_LIBNCCL_DEV_PACKAGE_VERSION=2.20.3-1",
            "NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.20.3-1+cuda12.3",
            "LIBRARY_PATH=/usr/local/cuda/lib64/stubs"
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        "Cmd": null,
        "Image": "",
        "Volumes": null,
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        "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"
        }
    },
    "Architecture": "arm64",
    "Os": "linux",
    "Size": 5647825965,
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}

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