docker.io/nvidia/cuda:12.3.2-devel-ubuntu20.04 linux/amd64

docker.io/nvidia/cuda:12.3.2-devel-ubuntu20.04 - 国内下载镜像源浏览次数:9

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
镜像ID	sha256:8ca06a36250c55fc89d06ed43586eed302b7266690532f5d3c5d79a0682d4ee4
镜像TAG	12.3.2-devel-ubuntu20.04
大小	7.06GB
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	9 次
贡献者	ai*******y@163.com
镜像创建	2024-02-27T23:54:58.106397787Z
同步时间	2024-12-26 00:03
更新时间	2024-12-27 07:53

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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>=12.3 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526 brand=tesla,driver>=535,driver<536 brand=unknown,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=geforce,driver>=535,driver<536 brand=geforcertx,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=titan,driver>=535,driver<536 brand=titanrtx,driver>=535,driver<536 NV_CUDA_CUDART_VERSION=12.3.101-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-3 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_VERSION=12.3.4.1-1 NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-3 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_NVPROF_VERSION=12.3.101-1 NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-3=12.3.101-1 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

镜像安全扫描查看Trivy扫描报告

系统OS: ubuntu 20.04 扫描引擎: Trivy 扫描时间: 2024-12-26 00:06

低危漏洞:142

中危漏洞:1683

高危漏洞:31

严重漏洞:0

docker.io/nvidia/cuda:12.3.2-devel-ubuntu20.04 (ubuntu 20.04) (ubuntu)

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

镜像构建历史


# 2024-02-28 07:54:58  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2024-02-28 07:54:58  381.80KB 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
                        
# 2024-02-28 07:54:57  4.84GB 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-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 07:54:57  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-02-28 07:54:57  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-02-28 07:54:57  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 07:54:57  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.20.3-1
                        
# 2024-02-28 07:54:57  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 07:54:57  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
                        
# 2024-02-28 07:54:57  0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-3=12.3.101-1
                        
# 2024-02-28 07:54:57  0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=12.3.101-1
                        
# 2024-02-28 07:54:57  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 07:54:57  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 07:54:57  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 07:54:57  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 07:54:57  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 07:54:57  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 07:54:57  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 07:54:57  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 07:54:57  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=12.3.101-1
                        
# 2024-02-28 07:54:57  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 07:54:57  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.3.2-1
                        
# 2024-02-28 07:44:46  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2024-02-28 07:44:46  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2024-02-28 07:44:46  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2024-02-28 07:44:46  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 07:44:46  260.13KB 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
                        
# 2024-02-28 07:44:46  1.97GB 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-12-3=${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 07:44:46  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-02-28 07:44:46  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-02-28 07:44:46  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 07:44:46  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.20.3-1
                        
# 2024-02-28 07:44:46  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.20.3-1
                        
# 2024-02-28 07:44:46  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2024-02-28 07:44:46  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 07:44:46  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.3.4.1-1
                        
# 2024-02-28 07:44:46  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-3
                        
# 2024-02-28 07:44:46  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.2.0.103-1
                        
# 2024-02-28 07:44:46  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 07:44:46  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.2.3.2-1
                        
# 2024-02-28 07:44:46  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.3.101-1
                        
# 2024-02-28 07:44:46  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.3.2-1
                        
# 2024-02-28 07:39:43  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2024-02-28 07:39:43  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2024-02-28 07:39:43  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2024-02-28 07:39:43  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 07:39:43  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 07:39:43  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
                        
# 2024-02-28 07:39:43  154.89MB 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-12-3=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-02-28 07:39:31  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.3.2
                        
# 2024-02-28 07:39:31  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
                        
# 2024-02-28 07:39:31  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-02-28 07:39:31  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-02-28 07:39:31  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-3
                        
# 2024-02-28 07:39:31  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.3.101-1
                        
# 2024-02-28 07:39:31  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
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.3 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526 brand=tesla,driver>=535,driver<536 brand=unknown,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=geforce,driver>=535,driver<536 brand=geforcertx,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=titan,driver>=535,driver<536 brand=titanrtx,driver>=535,driver<536
                        
# 2024-02-28 07:39:31  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2024-01-23 21:01:04  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2024-01-23 21:01:04  72.81MB 
/bin/sh -c #(nop) ADD file:4b4e122c96445546ef9fba44a4eae6ada6239edecb9eea2c807a83abaebad451 in / 
                        
# 2024-01-23 21:01:02  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=20.04
                        
# 2024-01-23 21:01:02  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2024-01-23 21:01:02  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2024-01-23 21:01:02  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息

{
    "Id": "sha256:8ca06a36250c55fc89d06ed43586eed302b7266690532f5d3c5d79a0682d4ee4",
    "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"
    ],
    "RepoDigests": [
        "nvidia/cuda@sha256:cf1404fc25ae571d26e2185d37bfa3258124ab24eb96b6ac930ac71908970d0b",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda@sha256:af9a9edac3ffee494a10f10cc1f15103bc2600375c223d44ed70fc3fb8a86e25"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2024-02-27T23:54:58.106397787Z",
    "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",
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