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

Docker拉取命令

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

Shell快速替换命令

sed -i 's#nvidia/cuda:11.4.3-runtime-ubuntu20.04#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.4.3-runtime-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-runtime-ubuntu20.04-linuxarm64 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.4.3-runtime-ubuntu20.04-linuxarm64  docker.io/nvidia/cuda:11.4.3-runtime-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-runtime-ubuntu20.04-linuxarm64 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.4.3-runtime-ubuntu20.04-linuxarm64  docker.io/nvidia/cuda:11.4.3-runtime-ubuntu20.04'

镜像构建历史

# 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:f53855121dcb349662c9ede7246b0f6cc4c8cbd68210f6d4a0471ad06a96aae4",
    "RepoTags": [
        "nvidia/cuda:11.4.3-runtime-ubuntu20.04",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.4.3-runtime-ubuntu20.04-linuxarm64"
    ],
    "RepoDigests": [
        "nvidia/cuda@sha256:3beb33b21bcea4e78399c37574eba400fe85b5f48a7188eec7208d9a9c459219",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda@sha256:aba6f418365ed98016ce8862bb81e38468cd8baf1908c099301b03e0c415f338"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2023-11-10T08:19:17.391599889Z",
    "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"
        ],
        "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"
        }
    },
    "Architecture": "arm64",
    "Os": "linux",
    "Size": 2115445532,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/236cd0f3ac30a1074c1847a5d95c270c53d10e5acc073babd90b70316681a0a2/diff:/var/lib/docker/overlay2/e3c96abe53907784b7893ab24665cb0fbeae496b4a4d49b72f34713f48f6519d/diff:/var/lib/docker/overlay2/445f30e8fbd248fd5650466b97031424b6ec3ab9422924b3d3e16b397c0940cb/diff:/var/lib/docker/overlay2/cbd26e125e46b2113824fc1163818b29a3a539962391a0dd2fe76b6b19cd42bc/diff:/var/lib/docker/overlay2/bf778191e6de2e51e2f45fc4f62c8e29535f9bb40c7588cb4150fac72d8c0a1d/diff:/var/lib/docker/overlay2/ac29e5644685df1e3702acd82456a2c294812fb548e49f707a0367075fc00136/diff:/var/lib/docker/overlay2/6814cd16651121abf2b194391b357138fe384788d4f04245a3c3253cfc4da55a/diff:/var/lib/docker/overlay2/979ebeab110ea14b70da9d71458695e0b926e5edc0363289699780bb6e2cb333/diff",
            "MergedDir": "/var/lib/docker/overlay2/7ae24b8aee7a4b75126f4e371da110ca4a42b733e7003dd49ab40186b3f2b57f/merged",
            "UpperDir": "/var/lib/docker/overlay2/7ae24b8aee7a4b75126f4e371da110ca4a42b733e7003dd49ab40186b3f2b57f/diff",
            "WorkDir": "/var/lib/docker/overlay2/7ae24b8aee7a4b75126f4e371da110ca4a42b733e7003dd49ab40186b3f2b57f/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:701ccb11c0525a289459678e1ef3e9269b62737fafb033db91061ae53a0e9c1e",
            "sha256:8fa84dcb0a0806026522fc045de928e89895f938fe193654c5c05ea292140dd2",
            "sha256:4a3af3f5ce449022d5b805003125969fc1116eed548b4c8831a15f664d540374",
            "sha256:486c8d171d8816e5d53b23fbb89a169ae6ca17b005325dfa05ad3b7917f7e79c",
            "sha256:7265cab6e2b83ec0d3fec7e899ee5cc4919ee06ff01ad7aaaa7599f0ecee6c01",
            "sha256:032ccaec9ba9f58debf09b0ce23af95cef7763754046730ea441f6add18c8791",
            "sha256:995a13566c50bdf16c7aa6eea6a52531e643087783339c1fd5437a9fc5f63891",
            "sha256:f055f5f7f24143f7c3e59d9c779908251ec84fab91a087d0a0084cba7029df6e",
            "sha256:75da8f0eda1c92537eeec7860e5eb39cfc993b7d72e6a1b660871c088abb9cee"
        ]
    },
    "Metadata": {
        "LastTagTime": "2025-08-22T14:01:51.076507905+08:00"
    }
}