docker.io/nvidia/cuda:11.0.3-runtime-ubuntu20.04 linux/amd64

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.0.3-runtime-ubuntu20.04
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.0.3-runtime-ubuntu20.04  docker.io/nvidia/cuda:11.0.3-runtime-ubuntu20.04

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.0.3-runtime-ubuntu20.04
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.0.3-runtime-ubuntu20.04  docker.io/nvidia/cuda:11.0.3-runtime-ubuntu20.04

Shell快速替换命令

sed -i 's#nvidia/cuda:11.0.3-runtime-ubuntu20.04#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.0.3-runtime-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:11.0.3-runtime-ubuntu20.04 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.0.3-runtime-ubuntu20.04  docker.io/nvidia/cuda:11.0.3-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:11.0.3-runtime-ubuntu20.04 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.0.3-runtime-ubuntu20.04  docker.io/nvidia/cuda:11.0.3-runtime-ubuntu20.04'

镜像构建历史

# 2023-11-10 16:39:51  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2023-11-10 16:39:51  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2023-11-10 16:39:51  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2023-11-10 16:39:51  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 16:39:51  251.39KB 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 16:39:51  1.93GB 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-11-0=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-11-0=${NV_NVTX_VERSION}     libcusparse-11-0=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 16:39:51  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 16:39:51  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 16:39:51  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.15.5-1+cuda11.0
                        
# 2023-11-10 16:39:51  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.15.5-1
                        
# 2023-11-10 16:39:51  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.15.5-1
                        
# 2023-11-10 16:39:51  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2023-11-10 16:39:51  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-0=11.2.0.252-1
                        
# 2023-11-10 16:39:51  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=11.2.0.252-1
                        
# 2023-11-10 16:39:51  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-0
                        
# 2023-11-10 16:39:51  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=11.1.1.245-1
                        
# 2023-11-10 16:39:51  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-11-0=11.1.0.245-1
                        
# 2023-11-10 16:39:51  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=11.1.0.245-1
                        
# 2023-11-10 16:39:51  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=11.0.167-1
                        
# 2023-11-10 16:39:51  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.0.3-1
                        
# 2023-11-10 16:38:05  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2023-11-10 16:38:05  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-11-10 16:38:05  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2023-11-10 16:38:05  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 16:38:05  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 16:38:05  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 16:38:05  30.66MB 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-11-0=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && ln -s cuda-11.0 /usr/local/cuda     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 16:37:55  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=11.0.3
                        
# 2023-11-10 16:37:55  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 16:37:55  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 16:37:55  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 16:37:55  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-0
                        
# 2023-11-10 16:37:55  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=11.0.221-1
                        
# 2023-11-10 16:37:55  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=11.0 brand=tesla,driver>=418,driver<419
                        
# 2023-11-10 16:37:55  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

{
    "Id": "sha256:c2595a43842665a12536a6788603861b1771f0b649ffe9e5f8b9c8e50b5bc985",
    "RepoTags": [
        "nvidia/cuda:11.0.3-runtime-ubuntu20.04",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.0.3-runtime-ubuntu20.04"
    ],
    "RepoDigests": [
        "nvidia/cuda@sha256:853085682c6070bf9a9feba55cb46fde4826627fc7e4871b875ce3c8550dea1a",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda@sha256:14fac41a31e527543ced6994e83c5ddb3dd1735259e53b3036e8dc7b5c39ba1f"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2023-11-10T08:39:51.628340665Z",
    "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=11.0 brand=tesla,driver\u003e=418,driver\u003c419",
            "NV_CUDA_CUDART_VERSION=11.0.221-1",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-0",
            "CUDA_VERSION=11.0.3",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NV_CUDA_LIB_VERSION=11.0.3-1",
            "NV_NVTX_VERSION=11.0.167-1",
            "NV_LIBNPP_VERSION=11.1.0.245-1",
            "NV_LIBNPP_PACKAGE=libnpp-11-0=11.1.0.245-1",
            "NV_LIBCUSPARSE_VERSION=11.1.1.245-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-0",
            "NV_LIBCUBLAS_VERSION=11.2.0.252-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-11-0=11.2.0.252-1",
            "NV_LIBNCCL_PACKAGE_NAME=libnccl2",
            "NV_LIBNCCL_PACKAGE_VERSION=2.15.5-1",
            "NCCL_VERSION=2.15.5-1",
            "NV_LIBNCCL_PACKAGE=libnccl2=2.15.5-1+cuda11.0",
            "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": "amd64",
    "Os": "linux",
    "Size": 2055383654,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/aa6ed2c00c3c0f286c204437debc05b5ee4a89c5a99ca5a2a99b421e7e5dadde/diff:/var/lib/docker/overlay2/b7d68a71b443a2fb2ebf241e8f32e7cdc660c5654b1285e3601e1e1fd8eb7c3f/diff:/var/lib/docker/overlay2/cb6ea554a0aa600df1db4c50466576578b4108fda08f5aae7db3c2d8b5b276b1/diff:/var/lib/docker/overlay2/1e07e3503229b7f5bfff29c0d5b633e4e5c4e19d921ca16d3ba916a927810060/diff:/var/lib/docker/overlay2/3ffb78e737191822ce96ce78673aaf49c13e595636e5e9dd432a0f126955e150/diff:/var/lib/docker/overlay2/7b1b1b3697969680d70e3ff6a05e001492a178b2dc6297e02851449e391330ed/diff:/var/lib/docker/overlay2/68994e8fc500f155fcb74f7b7f647d837367fac1ea53b60218f1ab5932a9a46e/diff:/var/lib/docker/overlay2/5408abd3ec726f4d055e10fddd8f488a8839c8a355fe1fb064cdc9fee660e07b/diff",
            "MergedDir": "/var/lib/docker/overlay2/de69031c516eec13a1bfa4016674aa8eada06e40bce103f493c0190a688d7435/merged",
            "UpperDir": "/var/lib/docker/overlay2/de69031c516eec13a1bfa4016674aa8eada06e40bce103f493c0190a688d7435/diff",
            "WorkDir": "/var/lib/docker/overlay2/de69031c516eec13a1bfa4016674aa8eada06e40bce103f493c0190a688d7435/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:6c3e7df31590f02f10cb71fc4eb27653e9b428df2e6e5421a455b062bd2e39f9",
            "sha256:673fded1634e9e3a54e21216b162656957b33f1f4971a170c257eb3ca593b4b6",
            "sha256:9f2738d60323195b8bfbabfb1e01789640dd9f0c9d7fe16cb92fd193eefa4020",
            "sha256:cb17d65a30d9b0f243487dbb07503a369ca7575a3ef6009d5296d9a9b4ecee83",
            "sha256:2814327c567462cf6c8bf52af44ecf3f685c977a2e86946f925a0f60a6378a02",
            "sha256:ed2dec3b3d9b0152cfb9d82b84ffef411482809a56d06f7456773b15dec9c61b",
            "sha256:e80adfb284b6129ab2a4e3fae6eec3020a6c5370a430a75cb455c5b4faf92b8e",
            "sha256:d37eb5e83c184165a4d76f761f5fcab1e197b9eb0849736c69e85ee248b9bbf8",
            "sha256:3a3c647beb091c1ac44acbda6cdfebbaa9fc990904b22f637db6ff51e69992ba"
        ]
    },
    "Metadata": {
        "LastTagTime": "2024-10-22T16:14:08.435403561+08:00"
    }
}