docker.io/nvidia/cuda:12.1.1-cudnn8-runtime-ubuntu22.04 linux/amd64

docker.io/nvidia/cuda:12.1.1-cudnn8-runtime-ubuntu22.04 - 国内下载镜像源 浏览次数:1375

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:12.1.1-cudnn8-runtime-ubuntu22.04
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.1.1-cudnn8-runtime-ubuntu22.04
镜像ID sha256:02f0c5f1a54bd88a5242a21ef690ab6826c7d36eb2b8134b32860a258427d97e
镜像TAG 12.1.1-cudnn8-runtime-ubuntu22.04
大小 3.38GB
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 1375 次
贡献者 28******9@qq.com
镜像创建 2023-11-10T05:42:50.489098876Z
同步时间 2024-07-01 14:24
更新时间 2025-01-20 02:34
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>=12.1 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 NV_CUDA_CUDART_VERSION=12.1.105-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1 CUDA_VERSION=12.1.1 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=12.1.1-1 NV_NVTX_VERSION=12.1.105-1 NV_LIBNPP_VERSION=12.1.0.40-1 NV_LIBNPP_PACKAGE=libnpp-12-1=12.1.0.40-1 NV_LIBCUSPARSE_VERSION=12.1.0.106-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-1 NV_LIBCUBLAS_VERSION=12.1.3.1-1 NV_LIBCUBLAS_PACKAGE=libcublas-12-1=12.1.3.1-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.17.1-1 NCCL_VERSION=2.17.1-1 NV_LIBNCCL_PACKAGE=libnccl2=2.17.1-1+cuda12.1 NVIDIA_PRODUCT_NAME=CUDA NV_CUDNN_VERSION=8.9.0.131 NV_CUDNN_PACKAGE_NAME=libcudnn8 NV_CUDNN_PACKAGE=libcudnn8=8.9.0.131-1+cuda12.1
镜像标签
8.9.0.131: com.nvidia.cudnn.version NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer ubuntu: org.opencontainers.image.ref.name 22.04: 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:12.1.1-cudnn8-runtime-ubuntu22.04
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.1.1-cudnn8-runtime-ubuntu22.04  docker.io/nvidia/cuda:12.1.1-cudnn8-runtime-ubuntu22.04

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.1.1-cudnn8-runtime-ubuntu22.04
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.1.1-cudnn8-runtime-ubuntu22.04  docker.io/nvidia/cuda:12.1.1-cudnn8-runtime-ubuntu22.04

Shell快速替换命令

sed -i 's#nvidia/cuda:12.1.1-cudnn8-runtime-ubuntu22.04#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.1.1-cudnn8-runtime-ubuntu22.04#' 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:12.1.1-cudnn8-runtime-ubuntu22.04 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.1.1-cudnn8-runtime-ubuntu22.04  docker.io/nvidia/cuda:12.1.1-cudnn8-runtime-ubuntu22.04'

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:12.1.1-cudnn8-runtime-ubuntu22.04 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.1.1-cudnn8-runtime-ubuntu22.04  docker.io/nvidia/cuda:12.1.1-cudnn8-runtime-ubuntu22.04'

镜像构建历史


# 2023-11-10 13:42:50  1.14GB 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     ${NV_CUDNN_PACKAGE}     && apt-mark hold ${NV_CUDNN_PACKAGE_NAME}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 13:42:50  0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=8.9.0.131
                        
# 2023-11-10 13:42:50  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 13:42:50  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 13:42:50  0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn8=8.9.0.131-1+cuda12.1
                        
# 2023-11-10 13:42:50  0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn8
                        
# 2023-11-10 13:42:50  0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=8.9.0.131
                        
# 2023-11-10 13:13:35  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2023-11-10 13:13:35  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2023-11-10 13:13:35  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2023-11-10 13:13:35  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 13:13:35  261.40KB 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 13:13:35  2.01GB 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-12-1=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-12-1=${NV_NVTX_VERSION}     libcusparse-12-1=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 13:13:35  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 13:13:35  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 13:13:35  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.17.1-1+cuda12.1
                        
# 2023-11-10 13:13:35  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.17.1-1
                        
# 2023-11-10 13:13:35  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.17.1-1
                        
# 2023-11-10 13:13:35  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2023-11-10 13:13:35  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-1=12.1.3.1-1
                        
# 2023-11-10 13:13:35  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.1.3.1-1
                        
# 2023-11-10 13:13:35  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-1
                        
# 2023-11-10 13:13:35  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.1.0.106-1
                        
# 2023-11-10 13:13:35  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-1=12.1.0.40-1
                        
# 2023-11-10 13:13:35  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.1.0.40-1
                        
# 2023-11-10 13:13:35  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.1.105-1
                        
# 2023-11-10 13:13:35  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.1.1-1
                        
# 2023-11-10 13:08:12  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2023-11-10 13:08:12  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-11-10 13:08:12  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2023-11-10 13:08:12  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 13:08:12  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 13:08:12  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 13:08:11  149.59MB 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-12-1=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 13:07:58  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.1.1
                        
# 2023-11-10 13:07:58  10.56MB 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 -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${NVARCH}/cuda-keyring_1.0-1_all.deb &&     dpkg -i cuda-keyring_1.0-1_all.deb &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 13:07:58  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 13:07:58  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 13:07:58  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1
                        
# 2023-11-10 13:07:58  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.1.105-1
                        
# 2023-11-10 13:07:58  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
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.1 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
                        
# 2023-11-10 13:07:58  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2023-10-05 15:33:32  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2023-10-05 15:33:32  77.82MB 
/bin/sh -c #(nop) ADD file:63d5ab3ef0aab308c0e71cb67292c5467f60deafa9b0418cbb220affcd078444 in / 
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

{
    "Id": "sha256:02f0c5f1a54bd88a5242a21ef690ab6826c7d36eb2b8134b32860a258427d97e",
    "RepoTags": [
        "nvidia/cuda:12.1.1-cudnn8-runtime-ubuntu22.04",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.1.1-cudnn8-runtime-ubuntu22.04"
    ],
    "RepoDigests": [
        "nvidia/cuda@sha256:f4d8e1264366940438f0353da6f289c7bef069d993d111f8106086ccd18c4a30",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda@sha256:1a2d0ed4138d25b76b420e51d86b0e3af9c3beae68b5f2b9569b9d3d58b53b3e"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2023-11-10T05:42:50.489098876Z",
    "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=12.1 brand=tesla,driver\u003e=470,driver\u003c471 brand=unknown,driver\u003e=470,driver\u003c471 brand=nvidia,driver\u003e=470,driver\u003c471 brand=nvidiartx,driver\u003e=470,driver\u003c471 brand=geforce,driver\u003e=470,driver\u003c471 brand=geforcertx,driver\u003e=470,driver\u003c471 brand=quadro,driver\u003e=470,driver\u003c471 brand=quadrortx,driver\u003e=470,driver\u003c471 brand=titan,driver\u003e=470,driver\u003c471 brand=titanrtx,driver\u003e=470,driver\u003c471 brand=tesla,driver\u003e=525,driver\u003c526 brand=unknown,driver\u003e=525,driver\u003c526 brand=nvidia,driver\u003e=525,driver\u003c526 brand=nvidiartx,driver\u003e=525,driver\u003c526 brand=geforce,driver\u003e=525,driver\u003c526 brand=geforcertx,driver\u003e=525,driver\u003c526 brand=quadro,driver\u003e=525,driver\u003c526 brand=quadrortx,driver\u003e=525,driver\u003c526 brand=titan,driver\u003e=525,driver\u003c526 brand=titanrtx,driver\u003e=525,driver\u003c526",
            "NV_CUDA_CUDART_VERSION=12.1.105-1",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1",
            "CUDA_VERSION=12.1.1",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NV_CUDA_LIB_VERSION=12.1.1-1",
            "NV_NVTX_VERSION=12.1.105-1",
            "NV_LIBNPP_VERSION=12.1.0.40-1",
            "NV_LIBNPP_PACKAGE=libnpp-12-1=12.1.0.40-1",
            "NV_LIBCUSPARSE_VERSION=12.1.0.106-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-1",
            "NV_LIBCUBLAS_VERSION=12.1.3.1-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-12-1=12.1.3.1-1",
            "NV_LIBNCCL_PACKAGE_NAME=libnccl2",
            "NV_LIBNCCL_PACKAGE_VERSION=2.17.1-1",
            "NCCL_VERSION=2.17.1-1",
            "NV_LIBNCCL_PACKAGE=libnccl2=2.17.1-1+cuda12.1",
            "NVIDIA_PRODUCT_NAME=CUDA",
            "NV_CUDNN_VERSION=8.9.0.131",
            "NV_CUDNN_PACKAGE_NAME=libcudnn8",
            "NV_CUDNN_PACKAGE=libcudnn8=8.9.0.131-1+cuda12.1"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "",
        "Entrypoint": [
            "/opt/nvidia/nvidia_entrypoint.sh"
        ],
        "OnBuild": null,
        "Labels": {
            "com.nvidia.cudnn.version": "8.9.0.131",
            "maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "22.04"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 3379553627,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/dc176d4a18f57880d351829be000f67d2994e972518d1279fe8592370450a4b3/diff:/var/lib/docker/overlay2/dce6bf8415f769649298ac404fe3fad7799e6a493587790c8589f27d71390b5b/diff:/var/lib/docker/overlay2/dfd19a01747acf5ed181de5d9c3c3d3c5fa7ca7641a6c63c0d24602acf4484ea/diff:/var/lib/docker/overlay2/5d8ec85cb94fd3eb9899dbfac629c2fe8e4a31b700e126133ecbe7bfd1e59f7d/diff:/var/lib/docker/overlay2/a2f7696f9b51554a643ffd48e8668a7cde98aa4ed335357fefbee1b22a29d3e9/diff:/var/lib/docker/overlay2/df1490af8342a06a91d53da8c73e7b7013d0a071c2744a44cba42a4d91aa741b/diff:/var/lib/docker/overlay2/b2bde950298c4f50e8afdec1a718fc653d8b583d5896c25d019427f206de9567/diff:/var/lib/docker/overlay2/8249344a60d0ecfae1369cb33a951fe9c0cc0f34c6ec47c1846cacdeb909946f/diff:/var/lib/docker/overlay2/6e6bdb412ab7b9f101d2e03169e5aefc3a5f604c803508fdbff6c73d547caf26/diff",
            "MergedDir": "/var/lib/docker/overlay2/44b3df7df53110e695f186343225404a3caa803a8bd9d1666f56abe9cf153347/merged",
            "UpperDir": "/var/lib/docker/overlay2/44b3df7df53110e695f186343225404a3caa803a8bd9d1666f56abe9cf153347/diff",
            "WorkDir": "/var/lib/docker/overlay2/44b3df7df53110e695f186343225404a3caa803a8bd9d1666f56abe9cf153347/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:256d88da41857db513b95b50ba9a9b28491b58c954e25477d5dad8abb465430b",
            "sha256:566cd9dd29d693cf0360da8a73391b843bb6ac8f11b4148acf69c4dc79fa87c5",
            "sha256:6ec2b659c9ab00e2b0fc0acd056577e609cc28649650ec7068b81686f6d1a996",
            "sha256:8afeff4e91d72f3de9232ffc0803f70236e316c27b23ee003e6d47fbfcb6e1c4",
            "sha256:bea30ebbe84377ed36503599c2087cd6bda6f4c96cb59525d238d4a00cf902d3",
            "sha256:b15b1df4adac82b2b46124c743a32d5e982cb6b5ee8a3c04949f809abf8962c9",
            "sha256:83ecbf43a888c43f43b0cd9ec7cf551770790c7aeab17f9536b8820db2c5d45d",
            "sha256:83687aeafbbf74a164a51590ffa36c46e9c41ce4ba3eae9daba1d381c64e5f4b",
            "sha256:3416903c2cc4c9f83472b397741f30365f53543862b03ff5727b42b1a2f938cb",
            "sha256:dbed25d6c95d032bc3492f4d7f33feba0572f6ba4e2ac00ac94f26c6ec83f4fb"
        ]
    },
    "Metadata": {
        "LastTagTime": "2024-07-01T14:16:07.002768123+08:00"
    }
}

更多版本

docker.io/nvidia/cuda:12.5.0-devel-ubuntu22.04

linux/amd64 docker.io7.15GB2024-06-20 11:42
780

docker.io/nvidia/cuda:11.3.1-cudnn8-devel-ubuntu20.04

linux/amd64 docker.io8.95GB2024-06-20 14:34
998

docker.io/nvidia/cuda:12.1.1-cudnn8-runtime-ubuntu22.04

linux/amd64 docker.io3.38GB2024-07-01 14:24
1374

docker.io/nvidia/cuda:12.1.0-cudnn8-devel-ubuntu20.04

linux/amd64 docker.io9.47GB2024-07-30 15:12
681

docker.io/nvidia/cuda:12.1.1-cudnn8-devel-ubuntu22.04

linux/amd64 docker.io9.49GB2024-08-13 17:50
471

docker.io/nvidia/cuda:11.3.1-cudnn8-runtime-ubuntu20.04

linux/amd64 docker.io3.30GB2024-08-16 11:53
389

docker.io/nvidia/cuda:12.4.1-base-ubuntu22.04

linux/amd64 docker.io244.38MB2024-08-17 21:23
634

docker.io/nvidia/cuda:12.6.0-cudnn-devel-ubuntu24.04

linux/amd64 docker.io8.11GB2024-08-19 01:52
598

docker.io/nvidia/cuda:12.3.2-cudnn9-runtime-ubuntu20.04

linux/amd64 docker.io3.25GB2024-08-20 10:28
288

docker.io/nvidia/cuda:12.4.1-devel-ubuntu22.04

linux/amd64 docker.io7.27GB2024-08-23 23:27
546

docker.io/nvidia/cuda:12.4.1-devel-ubuntu22.04

linux/amd64 docker.io7.27GB2024-08-26 13:41
1

docker.io/nvidia/cuda:12.4.1-devel-ubuntu22.04

linux/arm64 docker.io5.92GB2024-08-26 13:59
482

docker.io/nvidia/cuda:12.3.2-cudnn9-devel-ubuntu20.04

linux/amd64 docker.io8.09GB2024-09-02 16:14
245

docker.io/nvidia/cuda:12.6.0-runtime-ubuntu24.04

linux/amd64 docker.io2.31GB2024-09-03 16:29
521

docker.io/nvidia/cuda:12.3.1-base-ubuntu22.04

linux/amd64 docker.io243.31MB2024-09-03 18:25
405

docker.io/nvidia/cuda:12.2.2-devel-ubuntu22.04

linux/amd64 docker.io6.95GB2024-09-07 06:32
459

docker.io/nvidia/cuda:12.1.0-cudnn8-runtime-ubuntu20.04

linux/amd64 docker.io3.37GB2024-09-13 14:34
447

docker.io/nvidia/cuda:12.4.1-cudnn-runtime-ubuntu22.04

linux/amd64 docker.io3.32GB2024-09-20 10:06
308

docker.io/nvidia/cuda:12.5.1-base-rockylinux9

linux/amd64 docker.io450.12MB2024-09-23 11:50
193

docker.io/nvidia/cuda:12.6.1-base-ubi9

linux/amd64 docker.io390.99MB2024-09-23 15:33
276

docker.io/nvidia/cuda:12.6.1-cudnn-devel-ubuntu22.04

linux/amd64 docker.io8.05GB2024-09-24 00:39
446

docker.io/nvidia/cuda:12.6.1-devel-rockylinux9

linux/amd64 docker.io7.08GB2024-09-24 01:27
276

docker.io/nvidia/cuda:11.7.1-cudnn8-devel-ubuntu22.04

linux/amd64 docker.io7.69GB2024-09-24 10:31
370

docker.io/nvidia/cuda:12.1.0-cudnn8-devel-ubuntu22.04

linux/amd64 docker.io9.49GB2024-09-26 00:13
267

docker.io/nvidia/cuda:12.3.2-cudnn9-devel-ubuntu22.04

linux/amd64 docker.io8.10GB2024-10-01 00:14
177

docker.io/nvidia/cuda:12.2.2-cudnn8-devel-ubuntu22.04

linux/amd64 docker.io9.33GB2024-10-11 00:48
283

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

linux/amd64 docker.io2.06GB2024-10-22 16:17
191

docker.io/nvidia/cuda:11.3.1-devel-ubuntu18.04

linux/arm64 docker.io3.74GB2024-10-24 17:52
125

docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04

linux/amd64 docker.io9.35GB2024-10-24 19:51
241

docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04

linux/arm64 docker.io11.50GB2024-10-25 01:15
100

docker.io/nvidia/cuda:11.8.0-cudnn8-runtime-ubuntu22.04

linux/amd64 docker.io3.74GB2024-10-31 15:22
215

docker.io/nvidia/cuda:11.8.0-devel-ubuntu22.04

linux/amd64 docker.io7.37GB2024-11-06 13:17
170

docker.io/nvidia/cuda:11.1.1-base

linux/amd64 docker.io123.64MB2024-11-16 01:17
88

docker.io/nvidia/cuda:12.1.1-cudnn8-devel-ubuntu20.04

linux/amd64 docker.io9.47GB2024-11-23 00:10
87

docker.io/nvidia/cuda:12.4.1-runtime-ubuntu22.04

linux/amd64 docker.io2.29GB2024-12-05 17:51
76

docker.io/nvidia/cuda:12.2.2-devel-ubuntu20.04

linux/amd64 docker.io6.94GB2024-12-13 00:54
73

docker.io/nvidia/cuda:12.6.3-cudnn-devel-ubuntu24.04

linux/amd64 docker.io8.22GB2024-12-18 00:45
106

docker.io/nvidia/cuda:12.6.3-base-ubuntu22.04

linux/amd64 docker.io250.32MB2024-12-25 09:01
94

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

linux/amd64 docker.io7.06GB2024-12-26 00:03
46

docker.io/nvidia/cuda:11.7.1-devel-ubuntu22.04

linux/amd64 docker.io5.75GB2024-12-27 19:37
47

docker.io/nvidia/cuda:11.6.2-base-ubuntu20.04

linux/amd64 docker.io153.99MB2025-01-13 16:18
29

docker.io/nvidia/cuda:11.8.0-base-ubuntu22.04

linux/amd64 docker.io239.07MB2025-01-13 16:43
29

docker.io/nvidia/cuda:11.7.1-devel-ubi8

linux/amd64 docker.io5.60GB2025-01-15 14:59
24

docker.io/nvidia/cuda:11.7.1-devel-ubuntu20.04

linux/amd64 docker.io5.73GB2025-01-15 15:18
33

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

linux/arm64 docker.io5.65GB2025-01-16 15:58
23

docker.io/nvidia/cuda:12.0.1-devel-ubuntu22.04

linux/amd64 docker.io7.34GB2025-01-17 01:52
27