docker.io/nvidia/cuda:12.2.2-devel-ubuntu20.04 linux/amd64

docker.io/nvidia/cuda:12.2.2-devel-ubuntu20.04 - 国内下载镜像源浏览次数:62

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:12.2.2-devel-ubuntu20.04
国内镜像	swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.2.2-devel-ubuntu20.04
镜像ID	sha256:3046c60a5d707368c2a1de1e43bee31754f0d48224b0d703a4d39f9eb34833db
镜像TAG	12.2.2-devel-ubuntu20.04
大小	6.94GB
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	62 次
贡献者	98******6@qq.com
镜像创建	2023-11-10T05:11:34.990749516Z
同步时间	2024-12-13 00:54
更新时间	2025-01-13 20:18

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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>=12.2 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=12.2.140-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-2 CUDA_VERSION=12.2.2 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=12.2.2-1 NV_NVTX_VERSION=12.2.140-1 NV_LIBNPP_VERSION=12.2.1.4-1 NV_LIBNPP_PACKAGE=libnpp-12-2=12.2.1.4-1 NV_LIBCUSPARSE_VERSION=12.1.2.141-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-2 NV_LIBCUBLAS_VERSION=12.2.5.6-1 NV_LIBCUBLAS_PACKAGE=libcublas-12-2=12.2.5.6-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.19.3-1 NCCL_VERSION=2.19.3-1 NV_LIBNCCL_PACKAGE=libnccl2=2.19.3-1+cuda12.2 NVIDIA_PRODUCT_NAME=CUDA NV_CUDA_CUDART_DEV_VERSION=12.2.140-1 NV_NVML_DEV_VERSION=12.2.140-1 NV_LIBCUSPARSE_DEV_VERSION=12.1.2.141-1 NV_LIBNPP_DEV_VERSION=12.2.1.4-1 NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-2=12.2.1.4-1 NV_LIBCUBLAS_DEV_VERSION=12.2.5.6-1 NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-2 NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-2=12.2.5.6-1 NV_CUDA_NSIGHT_COMPUTE_VERSION=12.2.2-1 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-2=12.2.2-1 NV_NVPROF_VERSION=12.2.142-1 NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-2=12.2.142-1 NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev NV_LIBNCCL_DEV_PACKAGE_VERSION=2.19.3-1 NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.19.3-1+cuda12.2 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: 2024-12-13 00:56

低危漏洞:161

中危漏洞:1777

高危漏洞:35

严重漏洞:0

docker.io/nvidia/cuda:12.2.2-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:12.2.2-devel-ubuntu20.04
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.2.2-devel-ubuntu20.04  docker.io/nvidia/cuda:12.2.2-devel-ubuntu20.04

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.2.2-devel-ubuntu20.04
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.2.2-devel-ubuntu20.04  docker.io/nvidia/cuda:12.2.2-devel-ubuntu20.04

Shell快速替换命令

sed -i 's#nvidia/cuda:12.2.2-devel-ubuntu20.04#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.2.2-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:12.2.2-devel-ubuntu20.04 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.2.2-devel-ubuntu20.04  docker.io/nvidia/cuda:12.2.2-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:12.2.2-devel-ubuntu20.04 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.2.2-devel-ubuntu20.04  docker.io/nvidia/cuda:12.2.2-devel-ubuntu20.04'

镜像构建历史


# 2023-11-10 13:11:34  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2023-11-10 13:11:34  381.18KB 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 13:11:33  4.75GB 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-12-2=${NV_CUDA_CUDART_DEV_VERSION}     cuda-command-line-tools-12-2=${NV_CUDA_LIB_VERSION}     cuda-minimal-build-12-2=${NV_CUDA_LIB_VERSION}     cuda-libraries-dev-12-2=${NV_CUDA_LIB_VERSION}     cuda-nvml-dev-12-2=${NV_NVML_DEV_VERSION}     ${NV_NVPROF_DEV_PACKAGE}     ${NV_LIBNPP_DEV_PACKAGE}     libcusparse-dev-12-2=${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 13:11:33  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 13:11:33  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 13:11:33  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.19.3-1+cuda12.2
                        
# 2023-11-10 13:11:33  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.19.3-1
                        
# 2023-11-10 13:11:33  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.19.3-1
                        
# 2023-11-10 13:11:33  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
                        
# 2023-11-10 13:11:33  0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-2=12.2.142-1
                        
# 2023-11-10 13:11:33  0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=12.2.142-1
                        
# 2023-11-10 13:11:33  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-2=12.2.2-1
                        
# 2023-11-10 13:11:33  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.2.2-1
                        
# 2023-11-10 13:11:33  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-2=12.2.5.6-1
                        
# 2023-11-10 13:11:33  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-2
                        
# 2023-11-10 13:11:33  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=12.2.5.6-1
                        
# 2023-11-10 13:11:33  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-2=12.2.1.4-1
                        
# 2023-11-10 13:11:33  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=12.2.1.4-1
                        
# 2023-11-10 13:11:33  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.1.2.141-1
                        
# 2023-11-10 13:11:33  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=12.2.140-1
                        
# 2023-11-10 13:11:33  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=12.2.140-1
                        
# 2023-11-10 13:11:33  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.2.2-1
                        
# 2023-11-10 12:59:39  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2023-11-10 12:59:39  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2023-11-10 12:59:39  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2023-11-10 12:59:39  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 12:59:39  259.51KB 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 12:59:39  1.95GB 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-12-2=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-12-2=${NV_NVTX_VERSION}     libcusparse-12-2=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 12:59:39  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 12:59:39  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 12:59:39  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.19.3-1+cuda12.2
                        
# 2023-11-10 12:59:39  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.19.3-1
                        
# 2023-11-10 12:59:39  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.19.3-1
                        
# 2023-11-10 12:59:39  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2023-11-10 12:59:39  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-2=12.2.5.6-1
                        
# 2023-11-10 12:59:39  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.2.5.6-1
                        
# 2023-11-10 12:59:39  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-2
                        
# 2023-11-10 12:59:39  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.1.2.141-1
                        
# 2023-11-10 12:59:39  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-2=12.2.1.4-1
                        
# 2023-11-10 12:59:39  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.2.1.4-1
                        
# 2023-11-10 12:59:39  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.2.140-1
                        
# 2023-11-10 12:59:39  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.2.2-1
                        
# 2023-11-10 12:56:32  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2023-11-10 12:56:32  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-11-10 12:56:32  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2023-11-10 12:56:32  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 12:56:32  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 12:56:32  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 12:56:32  150.50MB 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-12-2=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 12:56:20  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.2.2
                        
# 2023-11-10 12:56:20  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 12:56:20  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 12:56:20  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 12:56:20  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-2
                        
# 2023-11-10 12:56:20  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.2.140-1
                        
# 2023-11-10 12:56:20  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>=12.2 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 12:56:20  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": "sha256:3046c60a5d707368c2a1de1e43bee31754f0d48224b0d703a4d39f9eb34833db",
    "RepoTags": [
        "nvidia/cuda:12.2.2-devel-ubuntu20.04",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.2.2-devel-ubuntu20.04"
    ],
    "RepoDigests": [
        "nvidia/cuda@sha256:b7074ef6f9aa30c27fe747f3a7e10402ec442f001290718c73e0972d1ee61342",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda@sha256:4c371052e0ee007dcda468d9c5ecd253bc8c4048cd77094feba77deec9986eef"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2023-11-10T05:11:34.990749516Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
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