docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04 linux/amd64

docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04 - 国内下载镜像源 浏览次数:145

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:11.1.1-cudnn8-devel-ubuntu18.04
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04
镜像ID sha256:d91fe8dffe66931f4f2def08c2163dd2c0afc536e21d133c8352eb8978483f5a
镜像TAG 11.1.1-cudnn8-devel-ubuntu18.04
大小 9.35GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD bash
启动入口
工作目录
OS/平台 linux/amd64
浏览量 145 次
贡献者
镜像创建 2022-10-28T05:05:06.558754553Z
同步时间 2024-10-24 19:51
更新时间 2024-11-21 13:29
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>=11.1 brand=tesla,driver>=418,driver<419 brand=tesla,driver>=450,driver<451 NV_CUDA_CUDART_VERSION=11.1.74-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-1 CUDA_VERSION=11.1.1 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=11.1.1-1 NV_NVTX_VERSION=11.1.74-1 NV_LIBNPP_VERSION=11.1.2.301-1 NV_LIBNPP_PACKAGE=libnpp-11-1=11.1.2.301-1 NV_LIBCUSPARSE_VERSION=11.3.0.10-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-1 NV_LIBCUBLAS_VERSION=11.3.0.106-1 NV_LIBCUBLAS_PACKAGE=libcublas-11-1=11.3.0.106-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.8.4-1 NCCL_VERSION=2.8.4-1 NV_LIBNCCL_PACKAGE=libnccl2=2.8.4-1+cuda11.1 NV_CUDA_CUDART_DEV_VERSION=11.1.74-1 NV_NVML_DEV_VERSION=11.1.74-1 NV_LIBCUSPARSE_DEV_VERSION=11.3.0.10-1 NV_LIBNPP_DEV_VERSION=11.1.2.301-1 NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-1=11.1.2.301-1 NV_LIBCUBLAS_DEV_VERSION=11.3.0.106-1 NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-1 NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-1=11.3.0.106-1 NV_NVPROF_VERSION=11.1.105-1 NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-1=11.1.105-1 NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev NV_LIBNCCL_DEV_PACKAGE_VERSION=2.8.4-1 NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.8.4-1+cuda11.1 LIBRARY_PATH=/usr/local/cuda/lib64/stubs NV_CUDNN_VERSION=8.0.5.39 NV_CUDNN_PACKAGE_NAME=libcudnn8 NV_CUDNN_PACKAGE=libcudnn8=8.0.5.39-1+cuda11.1 NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.0.5.39-1+cuda11.1
镜像标签
8.0.5.39: com.nvidia.cudnn.version NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer
镜像安全扫描 查看Trivy扫描报告

系统OS: ubuntu 18.04 扫描引擎: Trivy 扫描时间: 2024-10-27 17:27

低危漏洞:46 中危漏洞:220 高危漏洞:14 严重漏洞:0

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:11.1.1-cudnn8-devel-ubuntu18.04
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04  docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04  docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04

Shell快速替换命令

sed -i 's#nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04#' 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:11.1.1-cudnn8-devel-ubuntu18.04 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04  docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04'

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:11.1.1-cudnn8-devel-ubuntu18.04 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04  docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04'

镜像历史

大小 创建时间 层信息
4.57GB 2022-10-28 13:05:06 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends ${NV_CUDNN_PACKAGE} ${NV_CUDNN_PACKAGE_DEV} && apt-mark hold ${NV_CUDNN_PACKAGE_NAME} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2022-10-28 13:05:06 LABEL com.nvidia.cudnn.version=8.0.5.39
0.00B 2022-10-28 13:05:06 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2022-10-28 13:05:06 ARG TARGETARCH
0.00B 2022-10-28 13:05:06 ENV NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.0.5.39-1+cuda11.1
0.00B 2022-10-28 13:05:06 ENV NV_CUDNN_PACKAGE=libcudnn8=8.0.5.39-1+cuda11.1
0.00B 2022-10-28 13:05:06 ENV NV_CUDNN_PACKAGE_NAME=libcudnn8
0.00B 2022-10-28 13:05:06 ENV NV_CUDNN_VERSION=8.0.5.39
0.00B 2022-10-28 12:36:34 ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
358.96KB 2022-10-28 12:36:34 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
2.27GB 2022-10-28 12:36:33 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-dev-11-1=${NV_CUDA_CUDART_DEV_VERSION} cuda-command-line-tools-11-1=${NV_CUDA_LIB_VERSION} cuda-minimal-build-11-1=${NV_CUDA_LIB_VERSION} cuda-libraries-dev-11-1=${NV_CUDA_LIB_VERSION} cuda-nvml-dev-11-1=${NV_NVML_DEV_VERSION} ${NV_NVPROF_DEV_PACKAGE} ${NV_LIBNPP_DEV_PACKAGE} libcusparse-dev-11-1=${NV_LIBCUSPARSE_DEV_VERSION} ${NV_LIBCUBLAS_DEV_PACKAGE} ${NV_LIBNCCL_DEV_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2022-10-28 12:36:33 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2022-10-28 12:36:33 ARG TARGETARCH
0.00B 2022-10-28 12:36:33 ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.8.4-1+cuda11.1
0.00B 2022-10-28 12:36:33 ENV NCCL_VERSION=2.8.4-1
0.00B 2022-10-28 12:36:33 ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.8.4-1
0.00B 2022-10-28 12:36:33 ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
0.00B 2022-10-28 12:36:33 ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-1=11.1.105-1
0.00B 2022-10-28 12:36:33 ENV NV_NVPROF_VERSION=11.1.105-1
0.00B 2022-10-28 12:36:33 ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-1=11.3.0.106-1
0.00B 2022-10-28 12:36:33 ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-1
0.00B 2022-10-28 12:36:33 ENV NV_LIBCUBLAS_DEV_VERSION=11.3.0.106-1
0.00B 2022-10-28 12:36:33 ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-1=11.1.2.301-1
0.00B 2022-10-28 12:36:33 ENV NV_LIBNPP_DEV_VERSION=11.1.2.301-1
0.00B 2022-10-28 12:36:33 ENV NV_LIBCUSPARSE_DEV_VERSION=11.3.0.10-1
0.00B 2022-10-28 12:36:33 ENV NV_NVML_DEV_VERSION=11.1.74-1
0.00B 2022-10-28 12:36:33 ENV NV_CUDA_CUDART_DEV_VERSION=11.1.74-1
0.00B 2022-10-28 12:36:33 ENV NV_CUDA_LIB_VERSION=11.1.1-1
250.07KB 2022-10-28 12:21:50 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
2.40GB 2022-10-28 12:21:49 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-11-1=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-11-1=${NV_NVTX_VERSION} libcusparse-11-1=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2022-10-28 12:21:49 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2022-10-28 12:21:49 ARG TARGETARCH
0.00B 2022-10-28 12:21:49 ENV NV_LIBNCCL_PACKAGE=libnccl2=2.8.4-1+cuda11.1
0.00B 2022-10-28 12:21:49 ENV NCCL_VERSION=2.8.4-1
0.00B 2022-10-28 12:21:49 ENV NV_LIBNCCL_PACKAGE_VERSION=2.8.4-1
0.00B 2022-10-28 12:21:49 ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
0.00B 2022-10-28 12:21:49 ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-1=11.3.0.106-1
0.00B 2022-10-28 12:21:49 ENV NV_LIBCUBLAS_VERSION=11.3.0.106-1
0.00B 2022-10-28 12:21:49 ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-1
0.00B 2022-10-28 12:21:49 ENV NV_LIBCUSPARSE_VERSION=11.3.0.10-1
0.00B 2022-10-28 12:21:49 ENV NV_LIBNPP_PACKAGE=libnpp-11-1=11.1.2.301-1
0.00B 2022-10-28 12:21:49 ENV NV_LIBNPP_VERSION=11.1.2.301-1
0.00B 2022-10-28 12:21:49 ENV NV_NVTX_VERSION=11.1.74-1
0.00B 2022-10-28 12:21:49 ENV NV_CUDA_LIB_VERSION=11.1.1-1
0.00B 2022-10-28 12:16:20 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
0.00B 2022-10-28 12:16:20 ENV NVIDIA_VISIBLE_DEVICES=all
16.05KB 2022-10-28 12:16:20 COPY NGC-DL-CONTAINER-LICENSE / # buildkit
0.00B 2022-10-28 12:16:19 ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
0.00B 2022-10-28 12:16:19 ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
46.00B 2022-10-28 12:16:19 RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
32.68MB 2022-10-28 12:16:19 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-11-1=${NV_CUDA_CUDART_VERSION} ${NV_CUDA_COMPAT_PACKAGE} && ln -s cuda-11.1 /usr/local/cuda && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2022-10-28 12:16:04 ENV CUDA_VERSION=11.1.1
16.54MB 2022-10-28 12:16:04 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/${NVARCH}/3bf863cc.pub | apt-key add - && echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2022-10-28 12:16:04 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2022-10-28 12:16:04 ARG TARGETARCH
0.00B 2022-10-28 12:16:04 ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-1
0.00B 2022-10-28 12:16:04 ENV NV_CUDA_CUDART_VERSION=11.1.74-1
0.00B 2022-10-28 12:16:04 ENV NVIDIA_REQUIRE_CUDA=cuda>=11.1 brand=tesla,driver>=418,driver<419 brand=tesla,driver>=450,driver<451
0.00B 2022-10-28 12:16:04 ENV NVARCH=x86_64
0.00B 2022-10-25 09:53:28 /bin/sh -c #(nop) CMD ["bash"]
63.15MB 2022-10-25 09:53:28 /bin/sh -c #(nop) ADD file:fc5d658c47ede58827812b75a311353be776e41e2dd339b8906839527c9b5247 in /

镜像信息

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    }
}

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