docker.io/nvidia/cuda:11.3.1-devel-ubuntu18.04 linux/arm64

docker.io/nvidia/cuda:11.3.1-devel-ubuntu18.04 - 国内下载镜像源 浏览次数:73 温馨提示: 这是一个 linux/arm64 系统架构镜像

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:11.3.1-devel-ubuntu18.04
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.3.1-devel-ubuntu18.04-linuxarm64
镜像ID sha256:5f08357ba6e5bb8c206b402d2a37e2cc911899158d3d23796d812fa96f850db5
镜像TAG 11.3.1-devel-ubuntu18.04-linuxarm64
大小 3.74GB
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/arm64
浏览量 73 次
贡献者
镜像创建 2022-12-14T23:45:07.310486918Z
同步时间 2024-10-24 17:52
更新时间 2024-11-21 15:48
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=sbsa NVIDIA_REQUIRE_CUDA=cuda>=11.3 NV_CUDA_CUDART_VERSION=11.3.109-1 CUDA_VERSION=11.3.1 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=11.3.1-1 NV_NVTX_VERSION=11.3.109-1 NV_LIBNPP_VERSION=11.3.3.95-1 NV_LIBNPP_PACKAGE=libnpp-11-3=11.3.3.95-1 NV_LIBCUSPARSE_VERSION=11.6.0.109-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-3 NV_LIBCUBLAS_VERSION=11.5.1.109-1 NV_LIBCUBLAS_PACKAGE=libcublas-11-3=11.5.1.109-1 NVIDIA_PRODUCT_NAME=CUDA NV_CUDA_CUDART_DEV_VERSION=11.3.109-1 NV_NVML_DEV_VERSION=11.3.58-1 NV_LIBCUSPARSE_DEV_VERSION=11.6.0.109-1 NV_LIBNPP_DEV_VERSION=11.3.3.95-1 NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-3=11.3.3.95-1 NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-3 NV_LIBCUBLAS_DEV_VERSION=11.5.1.109-1 NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-3=11.5.1.109-1 NV_NVPROF_VERSION=11.3.111-1 NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-3=11.3.111-1 LIBRARY_PATH=/usr/local/cuda/lib64/stubs
镜像标签
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: 2024-10-24 17:52

低危漏洞:42 中危漏洞:157 高危漏洞:13 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:11.3.1-devel-ubuntu18.04-linuxarm64
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.3.1-devel-ubuntu18.04-linuxarm64  docker.io/nvidia/cuda:11.3.1-devel-ubuntu18.04

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.3.1-devel-ubuntu18.04-linuxarm64
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.3.1-devel-ubuntu18.04-linuxarm64  docker.io/nvidia/cuda:11.3.1-devel-ubuntu18.04

Shell快速替换命令

sed -i 's#nvidia/cuda:11.3.1-devel-ubuntu18.04#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.3.1-devel-ubuntu18.04-linuxarm64#' 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:11.3.1-devel-ubuntu18.04-linuxarm64 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.3.1-devel-ubuntu18.04-linuxarm64  docker.io/nvidia/cuda:11.3.1-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:11.3.1-devel-ubuntu18.04-linuxarm64 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.3.1-devel-ubuntu18.04-linuxarm64  docker.io/nvidia/cuda:11.3.1-devel-ubuntu18.04'

镜像历史

大小 创建时间 层信息
0.00B 2022-12-15 07:45:07 ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
358.10KB 2022-12-15 07:45:07 RUN |1 TARGETARCH=arm64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
2.09GB 2022-12-15 07:45:05 RUN |1 TARGETARCH=arm64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-dev-11-3=${NV_CUDA_CUDART_DEV_VERSION} cuda-command-line-tools-11-3=${NV_CUDA_LIB_VERSION} cuda-minimal-build-11-3=${NV_CUDA_LIB_VERSION} cuda-libraries-dev-11-3=${NV_CUDA_LIB_VERSION} cuda-nvml-dev-11-3=${NV_NVML_DEV_VERSION} ${NV_NVPROF_DEV_PACKAGE} ${NV_LIBNPP_DEV_PACKAGE} libcusparse-dev-11-3=${NV_LIBCUSPARSE_DEV_VERSION} ${NV_LIBCUBLAS_DEV_PACKAGE} ${NV_LIBNCCL_DEV_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2022-12-15 07:45:05 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2022-12-15 07:45:05 ARG TARGETARCH
0.00B 2022-12-15 07:45:05 ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-3=11.3.111-1
0.00B 2022-12-15 07:45:05 ENV NV_NVPROF_VERSION=11.3.111-1
0.00B 2022-12-15 07:45:05 ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-3=11.5.1.109-1
0.00B 2022-12-15 07:45:05 ENV NV_LIBCUBLAS_DEV_VERSION=11.5.1.109-1
0.00B 2022-12-15 07:45:05 ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-3
0.00B 2022-12-15 07:45:05 ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-3=11.3.3.95-1
0.00B 2022-12-15 07:45:05 ENV NV_LIBNPP_DEV_VERSION=11.3.3.95-1
0.00B 2022-12-15 07:45:05 ENV NV_LIBCUSPARSE_DEV_VERSION=11.6.0.109-1
0.00B 2022-12-15 07:45:05 ENV NV_NVML_DEV_VERSION=11.3.58-1
0.00B 2022-12-15 07:45:05 ENV NV_CUDA_CUDART_DEV_VERSION=11.3.109-1
0.00B 2022-12-15 07:45:05 ENV NV_CUDA_LIB_VERSION=11.3.1-1
0.00B 2022-12-15 07:35:46 ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
0.00B 2022-12-15 07:35:46 ENV NVIDIA_PRODUCT_NAME=CUDA
2.53KB 2022-12-15 07:35:46 COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
3.04KB 2022-12-15 07:35:46 COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
253.20KB 2022-12-15 07:35:46 RUN |1 TARGETARCH=arm64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
1.58GB 2022-12-15 07:35:45 RUN |1 TARGETARCH=arm64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-11-3=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-11-3=${NV_NVTX_VERSION} libcusparse-11-3=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2022-12-15 07:35:45 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2022-12-15 07:35:45 ARG TARGETARCH
0.00B 2022-12-15 07:35:45 ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-3=11.5.1.109-1
0.00B 2022-12-15 07:35:45 ENV NV_LIBCUBLAS_VERSION=11.5.1.109-1
0.00B 2022-12-15 07:35:45 ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-3
0.00B 2022-12-15 07:35:45 ENV NV_LIBCUSPARSE_VERSION=11.6.0.109-1
0.00B 2022-12-15 07:35:45 ENV NV_LIBNPP_PACKAGE=libnpp-11-3=11.3.3.95-1
0.00B 2022-12-15 07:35:45 ENV NV_LIBNPP_VERSION=11.3.3.95-1
0.00B 2022-12-15 07:35:45 ENV NV_NVTX_VERSION=11.3.109-1
0.00B 2022-12-15 07:35:45 ENV NV_CUDA_LIB_VERSION=11.3.1-1
0.00B 2022-12-15 07:29:13 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
0.00B 2022-12-15 07:29:13 ENV NVIDIA_VISIBLE_DEVICES=all
16.05KB 2022-12-15 07:29:13 COPY NGC-DL-CONTAINER-LICENSE / # buildkit
0.00B 2022-12-15 07:29:13 ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
0.00B 2022-12-15 07:29:13 ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
46.00B 2022-12-15 07:29:13 RUN |1 TARGETARCH=arm64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
1.42MB 2022-12-15 07:29:13 RUN |1 TARGETARCH=arm64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-11-3=${NV_CUDA_CUDART_VERSION} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2022-12-15 07:28:22 ENV CUDA_VERSION=11.3.1
14.75MB 2022-12-15 07:28:22 RUN |1 TARGETARCH=arm64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/${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 2022-12-15 07:28:22 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2022-12-15 07:28:22 ARG TARGETARCH
0.00B 2022-12-15 07:28:22 ENV NV_CUDA_CUDART_VERSION=11.3.109-1
0.00B 2022-12-15 07:28:22 ENV NVIDIA_REQUIRE_CUDA=cuda>=11.3
0.00B 2022-12-15 07:28:22 ENV NVARCH=sbsa
0.00B 2022-12-09 09:46:44 /bin/sh -c #(nop) CMD ["bash"]
56.66MB 2022-12-09 09:46:43 /bin/sh -c #(nop) ADD file:eb8b2914800b2ed866666fbff73c8234f4ac2a5ef01743d6fea0984230c2f464 in /

镜像信息

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313

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

linux/amd64 docker.io7.08GB2024-09-24 01:27
222

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

linux/amd64 docker.io7.69GB2024-09-24 10:31
286

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

linux/amd64 docker.io9.49GB2024-09-26 00:13
181

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

linux/amd64 docker.io8.10GB2024-10-01 00:14
123

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

linux/amd64 docker.io9.33GB2024-10-11 00:48
194

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

linux/amd64 docker.io2.06GB2024-10-22 16:17
121

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

linux/arm64 docker.io3.74GB2024-10-24 17:52
72

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

linux/amd64 docker.io9.35GB2024-10-24 19:51
144

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

linux/arm64 docker.io11.50GB2024-10-25 01:15
60

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

linux/amd64 docker.io3.74GB2024-10-31 15:22
91

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

linux/amd64 docker.io7.37GB2024-11-06 13:17
47

docker.io/nvidia/cuda:11.1.1-base

linux/amd64 docker.io123.64MB2024-11-16 01:17
22