docker.io/nvidia/cuda:11.7.1-devel-ubuntu22.04 linux/amd64

docker.io/nvidia/cuda:11.7.1-devel-ubuntu22.04 - 国内下载镜像源浏览次数:42

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:11.7.1-devel-ubuntu22.04
国内镜像	swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.7.1-devel-ubuntu22.04
镜像ID	sha256:28a6f693c19c36c4f911a996b8d7697bb3b423cc20fc455ddcca13373efd45b8
镜像TAG	11.7.1-devel-ubuntu22.04
大小	5.75GB
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	42 次
贡献者
镜像创建	2023-11-10T07:19:52.626154859Z
同步时间	2024-12-27 19:37
更新时间	2025-01-14 05:03

阿里云高校计划(￥300代金券)领取

阿里云2核2G高性能云服务器 99元/年❤️

华为云2核4G2M云服务器，惊爆价99元1年

腾讯云2核2G云服务器，惊爆价99元1年

Ucloud 2核2G4M 59元/年❤️ 香港专线400G流量/月服务器 93元/年❤️

GPU创意AI画图炼丹服务器

GPT人工智能60G学习资料❤️

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>=11.7 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 NV_CUDA_CUDART_VERSION=11.7.99-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-7 CUDA_VERSION=11.7.1 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=11.7.1-1 NV_NVTX_VERSION=11.7.91-1 NV_LIBNPP_VERSION=11.7.4.75-1 NV_LIBNPP_PACKAGE=libnpp-11-7=11.7.4.75-1 NV_LIBCUSPARSE_VERSION=11.7.4.91-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-7 NV_LIBCUBLAS_VERSION=11.10.3.66-1 NV_LIBCUBLAS_PACKAGE=libcublas-11-7=11.10.3.66-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.13.4-1 NCCL_VERSION=2.13.4-1 NV_LIBNCCL_PACKAGE=libnccl2=2.13.4-1+cuda11.7 NVIDIA_PRODUCT_NAME=CUDA NV_CUDA_CUDART_DEV_VERSION=11.7.99-1 NV_NVML_DEV_VERSION=11.7.91-1 NV_LIBCUSPARSE_DEV_VERSION=11.7.4.91-1 NV_LIBNPP_DEV_VERSION=11.7.4.75-1 NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-7=11.7.4.75-1 NV_LIBCUBLAS_DEV_VERSION=11.10.3.66-1 NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-7 NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-7=11.10.3.66-1 NV_CUDA_NSIGHT_COMPUTE_VERSION=11.7.1-1 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-11-7=11.7.1-1 NV_NVPROF_VERSION=11.7.101-1 NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-7=11.7.101-1 NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev NV_LIBNCCL_DEV_PACKAGE_VERSION=2.13.4-1 NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.13.4-1+cuda11.7 LIBRARY_PATH=/usr/local/cuda/lib64/stubs

镜像标签

NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer ubuntu: org.opencontainers.image.ref.name 22.04: org.opencontainers.image.version

镜像安全扫描查看Trivy扫描报告

系统OS: ubuntu 22.04 扫描引擎: Trivy 扫描时间: 2024-12-27 19:37

低危漏洞:225

中危漏洞:2103

高危漏洞:42

严重漏洞:0

docker.io/nvidia/cuda:11.7.1-devel-ubuntu22.04 (ubuntu 22.04) (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:11.7.1-devel-ubuntu22.04
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.7.1-devel-ubuntu22.04  docker.io/nvidia/cuda:11.7.1-devel-ubuntu22.04

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.7.1-devel-ubuntu22.04
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.7.1-devel-ubuntu22.04  docker.io/nvidia/cuda:11.7.1-devel-ubuntu22.04

Shell快速替换命令

sed -i 's#nvidia/cuda:11.7.1-devel-ubuntu22.04#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.7.1-devel-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:11.7.1-devel-ubuntu22.04 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.7.1-devel-ubuntu22.04  docker.io/nvidia/cuda:11.7.1-devel-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:11.7.1-devel-ubuntu22.04 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.7.1-devel-ubuntu22.04  docker.io/nvidia/cuda:11.7.1-devel-ubuntu22.04'

镜像构建历史


# 2023-11-10 15:19:52  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2023-11-10 15:19:52  382.89KB 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
                        
# 2023-11-10 15:19:51  3.72GB 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-dev-11-7=${NV_CUDA_CUDART_DEV_VERSION}     cuda-command-line-tools-11-7=${NV_CUDA_LIB_VERSION}     cuda-minimal-build-11-7=${NV_CUDA_LIB_VERSION}     cuda-libraries-dev-11-7=${NV_CUDA_LIB_VERSION}     cuda-nvml-dev-11-7=${NV_NVML_DEV_VERSION}     ${NV_NVPROF_DEV_PACKAGE}     ${NV_LIBNPP_DEV_PACKAGE}     libcusparse-dev-11-7=${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
                        
# 2023-11-10 15:19:51  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 15:19:51  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 15:19:51  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.13.4-1+cuda11.7
                        
# 2023-11-10 15:19:51  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.13.4-1
                        
# 2023-11-10 15:19:51  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.13.4-1
                        
# 2023-11-10 15:19:51  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
                        
# 2023-11-10 15:19:51  0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-7=11.7.101-1
                        
# 2023-11-10 15:19:51  0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=11.7.101-1
                        
# 2023-11-10 15:19:51  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-11-7=11.7.1-1
                        
# 2023-11-10 15:19:51  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=11.7.1-1
                        
# 2023-11-10 15:19:51  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-7=11.10.3.66-1
                        
# 2023-11-10 15:19:51  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-7
                        
# 2023-11-10 15:19:51  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=11.10.3.66-1
                        
# 2023-11-10 15:19:51  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-7=11.7.4.75-1
                        
# 2023-11-10 15:19:51  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=11.7.4.75-1
                        
# 2023-11-10 15:19:51  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=11.7.4.91-1
                        
# 2023-11-10 15:19:51  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=11.7.91-1
                        
# 2023-11-10 15:19:51  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=11.7.99-1
                        
# 2023-11-10 15:19:51  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.7.1-1
                        
# 2023-11-10 15:09:03  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2023-11-10 15:09:03  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2023-11-10 15:09:03  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2023-11-10 15:09:02  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 15:09:02  260.16KB 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 15:09:02  1.82GB 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-11-7=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-11-7=${NV_NVTX_VERSION}     libcusparse-11-7=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 15:09:02  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 15:09:02  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 15:09:02  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.13.4-1+cuda11.7
                        
# 2023-11-10 15:09:02  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.13.4-1
                        
# 2023-11-10 15:09:02  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.13.4-1
                        
# 2023-11-10 15:09:02  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2023-11-10 15:09:02  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-7=11.10.3.66-1
                        
# 2023-11-10 15:09:02  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=11.10.3.66-1
                        
# 2023-11-10 15:09:02  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-7
                        
# 2023-11-10 15:09:02  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=11.7.4.91-1
                        
# 2023-11-10 15:09:02  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-11-7=11.7.4.75-1
                        
# 2023-11-10 15:09:02  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=11.7.4.75-1
                        
# 2023-11-10 15:09:02  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=11.7.91-1
                        
# 2023-11-10 15:09:02  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.7.1-1
                        
# 2023-11-10 15:04:25  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2023-11-10 15:04:25  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-11-10 15:04:25  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2023-11-10 15:04:25  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 15:04:25  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 15:04:25  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 15:04:25  119.67MB 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-11-7=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 15:04:11  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=11.7.1
                        
# 2023-11-10 15:04:11  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 15:04:11  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 15:04:11  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 15:04:11  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-7
                        
# 2023-11-10 15:04:11  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=11.7.99-1
                        
# 2023-11-10 15:04:11  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand brand brand brand brand brand brand brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=11.7 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
                        
# 2023-11-10 15:04:11  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": "sha256:28a6f693c19c36c4f911a996b8d7697bb3b423cc20fc455ddcca13373efd45b8",
    "RepoTags": [
        "nvidia/cuda:11.7.1-devel-ubuntu22.04",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.7.1-devel-ubuntu22.04"
    ],
    "RepoDigests": [
        "nvidia/cuda@sha256:18aade8cf02eede9d4db5d8a8a73d4505bb2322e91cd54e4c601e5ae100ed691",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda@sha256:24db2c5b8eb56e8f5de6ea3bcca3cba22480de498cc8923eead7090448553fa7"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2023-11-10T07:19:52.626154859Z",
    "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=11.7 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",
            "NV_CUDA_CUDART_VERSION=11.7.99-1",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-7",
            "CUDA_VERSION=11.7.1",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NV_CUDA_LIB_VERSION=11.7.1-1",
            "NV_NVTX_VERSION=11.7.91-1",
            "NV_LIBNPP_VERSION=11.7.4.75-1",
            "NV_LIBNPP_PACKAGE=libnpp-11-7=11.7.4.75-1",
            "NV_LIBCUSPARSE_VERSION=11.7.4.91-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-7",
            "NV_LIBCUBLAS_VERSION=11.10.3.66-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-11-7=11.10.3.66-1",
            "NV_LIBNCCL_PACKAGE_NAME=libnccl2",
            "NV_LIBNCCL_PACKAGE_VERSION=2.13.4-1",
            "NCCL_VERSION=2.13.4-1",
            "NV_LIBNCCL_PACKAGE=libnccl2=2.13.4-1+cuda11.7",
            "NVIDIA_PRODUCT_NAME=CUDA",
            "NV_CUDA_CUDART_DEV_VERSION=11.7.99-1",
            "NV_NVML_DEV_VERSION=11.7.91-1",
            "NV_LIBCUSPARSE_DEV_VERSION=11.7.4.91-1",
            "NV_LIBNPP_DEV_VERSION=11.7.4.75-1",
            "NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-7=11.7.4.75-1",
            "NV_LIBCUBLAS_DEV_VERSION=11.10.3.66-1",
            "NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-7",
            "NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-7=11.10.3.66-1",
            "NV_CUDA_NSIGHT_COMPUTE_VERSION=11.7.1-1",
            "NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-11-7=11.7.1-1",
            "NV_NVPROF_VERSION=11.7.101-1",
            "NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-7=11.7.101-1",
            "NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev",
            "NV_LIBNCCL_DEV_PACKAGE_VERSION=2.13.4-1",
            "NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.13.4-1+cuda11.7",
            "LIBRARY_PATH=/usr/local/cuda/lib64/stubs"
        ],
        "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": "22.04"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 5747578867,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/aeb0de271f791bf28a49160f6f16959cecf1134eeeb56b3accb4274291154a31/diff:/var/lib/docker/overlay2/9b3c543316204bea3b8b6b3901f3fc1cff8c44f5fe58b9ec0d08e431f841ba4b/diff:/var/lib/docker/overlay2/50bbb41f43bfc4b2281d40ecae84754bdfe1e7796f0cc99f0167f8b87ca771fc/diff:/var/lib/docker/overlay2/82e3bf213d1f77b1a14d30d8ca52672d71894fb17d4bca648a479e26f7c0c6ad/diff:/var/lib/docker/overlay2/a1e67a39338128fb290342d668bc475e066b00e257855606928856d9df51e10b/diff:/var/lib/docker/overlay2/4d62aa78096e643ca71f8ee65d88d0966223f9ad1e5773a299a9df97f32f28c5/diff:/var/lib/docker/overlay2/170e4d9f47b753fc49a5b63062737ca67c11388cde45217ffedfeb1a6dd0a9d2/diff:/var/lib/docker/overlay2/a4d14ec23e453b3e5a7074624d476285c14e7c252457dd31c74c466af661bc14/diff:/var/lib/docker/overlay2/8dbf830ccfa490c9dfaa3b2b7d0829faea22eff2a4cc571fefbb171cda1d932e/diff:/var/lib/docker/overlay2/f2905627b4505cda033dd62b5a5dc1676edda5a6e1bda7cd6e6e2048fcf5aee0/diff",
            "MergedDir": "/var/lib/docker/overlay2/ef781dc43ce09141bff152efb8c44ec2e605023a7fe13a1152d8f30105d0830d/merged",
            "UpperDir": "/var/lib/docker/overlay2/ef781dc43ce09141bff152efb8c44ec2e605023a7fe13a1152d8f30105d0830d/diff",
            "WorkDir": "/var/lib/docker/overlay2/ef781dc43ce09141bff152efb8c44ec2e605023a7fe13a1152d8f30105d0830d/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:256d88da41857db513b95b50ba9a9b28491b58c954e25477d5dad8abb465430b",
            "sha256:4ad41657a86c8516483228108d82a96ac1775fc9854fc3678d8c0d7da25739b8",
            "sha256:67efcadf4aa7886c0d71a16de756a006aad4fcc5d29ffab31748fc775195be06",
            "sha256:ce834a1fbcb846045b8e44772c20fe0b993c32e73715996d5353e594a9d2c5c3",
            "sha256:95e88160a0fcdbddc8277a0764eb3effe83301ed42102de4b7673b42b3387acb",
            "sha256:4b69e1255531691f1b5f1ecfff65847ffac917c8e5a0747648a872cfaadab270",
            "sha256:2d59be1c8099b8cebd945a5923ec6e4fe676df8eac50280a8e5c16a87e69c667",
            "sha256:eb9fe4c91d76328db5dcea49b192a276545fd774342785855123d6b7ac5f739f",
            "sha256:c4d94af61487ca48de110c9a4b962779e28754a80c1fcb62e9b679e88836b29a",
            "sha256:90feb1901a931fa90684c653717358749713443d0432ac284cdc4a726cd35a49",
            "sha256:cb972dc688753216bdef79744a167ccdb2cb0f7328103ceaf5b59c6ed548d993"
        ]
    },
    "Metadata": {
        "LastTagTime": "2024-12-27T19:37:37.346231108+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

759

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

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

992

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

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

1365

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

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