docker.io/nvidia/cuda:12.6.1-devel-rockylinux9 linux/amd64

docker.io/nvidia/cuda:12.6.1-devel-rockylinux9 - 国内下载镜像源 浏览次数:133

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:12.6.1-devel-rockylinux9
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.6.1-devel-rockylinux9
镜像ID sha256:55008f81c7e999d85d5ba2929c6f391aa005021c2245345a2e84d072960d0191
镜像TAG 12.6.1-devel-rockylinux9
大小 7.08GB
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 133 次
贡献者
镜像创建 2024-09-03T15:14:36.570135239Z
同步时间 2024-09-24 01:27
更新时间 2024-10-23 20:57
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>=12.6 brand=unknown,driver>=470,driver<471 brand=grid,driver>=470,driver<471 brand=tesla,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=vapps,driver>=470,driver<471 brand=vpc,driver>=470,driver<471 brand=vcs,driver>=470,driver<471 brand=vws,driver>=470,driver<471 brand=cloudgaming,driver>=470,driver<471 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=550,driver<551 brand=grid,driver>=550,driver<551 brand=tesla,driver>=550,driver<551 brand=nvidia,driver>=550,driver<551 brand=quadro,driver>=550,driver<551 brand=quadrortx,driver>=550,driver<551 brand=nvidiartx,driver>=550,driver<551 brand=vapps,driver>=550,driver<551 brand=vpc,driver>=550,driver<551 brand=vcs,driver>=550,driver<551 brand=vws,driver>=550,driver<551 brand=cloudgaming,driver>=550,driver<551 NV_CUDA_CUDART_VERSION=12.6.68-1 CUDA_VERSION=12.6.1 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=12.6.1-1 NV_NVTX_VERSION=12.6.68-1 NV_LIBNPP_VERSION=12.3.1.54-1 NV_LIBNPP_PACKAGE=libnpp-12-6-12.3.1.54-1 NV_LIBCUBLAS_VERSION=12.6.1.4-1 NV_LIBNCCL_PACKAGE_NAME=libnccl NV_LIBNCCL_PACKAGE_VERSION=2.22.3-1 NV_LIBNCCL_VERSION=2.22.3 NCCL_VERSION=2.22.3 NV_LIBNCCL_PACKAGE=libnccl-2.22.3-1+cuda12.6 NVIDIA_PRODUCT_NAME=CUDA NV_NVPROF_VERSION=12.6.68-1 NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-6-12.6.68-1 NV_CUDA_CUDART_DEV_VERSION=12.6.68-1 NV_NVML_DEV_VERSION=12.6.68-1 NV_LIBCUBLAS_DEV_VERSION=12.6.1.4-1 NV_LIBNPP_DEV_VERSION=12.3.1.54-1 NV_LIBNPP_DEV_PACKAGE=libnpp-devel-12-6-12.3.1.54-1 NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-devel NV_LIBNCCL_DEV_PACKAGE_VERSION=2.22.3-1 NV_LIBNCCL_DEV_PACKAGE=libnccl-devel-2.22.3-1+cuda12.6 NV_CUDA_NSIGHT_COMPUTE_VERSION=12.6.1-1 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-6-12.6.1-1 LIBRARY_PATH=/usr/local/cuda/lib64/stubs
镜像标签
NVIDIA CORPORATION <sw-cuda-installer@nvidia.com>: maintainer

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:12.6.1-devel-rockylinux9
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.6.1-devel-rockylinux9  docker.io/nvidia/cuda:12.6.1-devel-rockylinux9

Containerd拉取命令 

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.6.1-devel-rockylinux9
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.6.1-devel-rockylinux9  docker.io/nvidia/cuda:12.6.1-devel-rockylinux9

Shell快速替换命令 

sed -i 's#nvidia/cuda:12.6.1-devel-rockylinux9#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.6.1-devel-rockylinux9#' deployment.yaml

镜像历史

大小 创建时间 层信息
0.00B 2024-09-03 23:14:36 ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
4.53GB 2024-09-03 23:14:36 RUN |1 TARGETARCH=amd64 /bin/sh -c yum install -y make findutils cuda-command-line-tools-12-6-${NV_CUDA_LIB_VERSION} cuda-libraries-devel-12-6-${NV_CUDA_LIB_VERSION} cuda-minimal-build-12-6-${NV_CUDA_LIB_VERSION} cuda-cudart-devel-12-6-${NV_CUDA_CUDART_DEV_VERSION} ${NV_NVPROF_DEV_PACKAGE} cuda-nvml-devel-12-6-${NV_NVML_DEV_VERSION} libcublas-devel-12-6-${NV_LIBCUBLAS_DEV_VERSION} ${NV_LIBNPP_DEV_PACKAGE} ${NV_LIBNCCL_DEV_PACKAGE} ${NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE} && yum clean all && rm -rf /var/cache/yum/* # buildkit
0.00B 2024-09-03 23:14:36 LABEL maintainer=NVIDIA CORPORATION <sw-cuda-installer@nvidia.com>
0.00B 2024-09-03 23:14:36 ARG TARGETARCH
0.00B 2024-09-03 23:14:36 ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-6-12.6.1-1
0.00B 2024-09-03 23:14:36 ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.6.1-1
0.00B 2024-09-03 23:14:36 ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-devel-2.22.3-1+cuda12.6
0.00B 2024-09-03 23:14:36 ENV NCCL_VERSION=2.22.3
0.00B 2024-09-03 23:14:36 ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.22.3-1
0.00B 2024-09-03 23:14:36 ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-devel
0.00B 2024-09-03 23:14:36 ENV NV_LIBNPP_DEV_PACKAGE=libnpp-devel-12-6-12.3.1.54-1
0.00B 2024-09-03 23:14:36 ENV NV_LIBNPP_DEV_VERSION=12.3.1.54-1
0.00B 2024-09-03 23:14:36 ENV NV_LIBCUBLAS_DEV_VERSION=12.6.1.4-1
0.00B 2024-09-03 23:14:36 ENV NV_NVML_DEV_VERSION=12.6.68-1
0.00B 2024-09-03 23:14:36 ENV NV_CUDA_CUDART_DEV_VERSION=12.6.68-1
0.00B 2024-09-03 23:14:36 ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-6-12.6.68-1
0.00B 2024-09-03 23:14:36 ENV NV_NVPROF_VERSION=12.6.68-1
0.00B 2024-09-03 23:14:36 ENV NV_CUDA_LIB_VERSION=12.6.1-1
0.00B 2024-09-03 22:59:52 ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
0.00B 2024-09-03 22:59:52 ENV NVIDIA_PRODUCT_NAME=CUDA
2.53KB 2024-09-03 22:59:52 COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
3.06KB 2024-09-03 22:59:52 COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
2.08GB 2024-09-03 22:59:52 RUN |1 TARGETARCH=amd64 /bin/sh -c yum install -y cuda-libraries-12-6-${NV_CUDA_LIB_VERSION} cuda-nvtx-12-6-${NV_NVTX_VERSION} ${NV_LIBNPP_PACKAGE} libcublas-12-6-${NV_LIBCUBLAS_VERSION} ${NV_LIBNCCL_PACKAGE} && yum clean all && rm -rf /var/cache/yum/* # buildkit
0.00B 2024-09-03 22:59:52 LABEL maintainer=NVIDIA CORPORATION <sw-cuda-installer@nvidia.com>
0.00B 2024-09-03 22:59:52 ARG TARGETARCH
0.00B 2024-09-03 22:59:52 ENV NV_LIBNCCL_PACKAGE=libnccl-2.22.3-1+cuda12.6
0.00B 2024-09-03 22:59:52 ENV NCCL_VERSION=2.22.3
0.00B 2024-09-03 22:59:52 ENV NV_LIBNCCL_VERSION=2.22.3
0.00B 2024-09-03 22:59:52 ENV NV_LIBNCCL_PACKAGE_VERSION=2.22.3-1
0.00B 2024-09-03 22:59:52 ENV NV_LIBNCCL_PACKAGE_NAME=libnccl
0.00B 2024-09-03 22:59:52 ENV NV_LIBCUBLAS_VERSION=12.6.1.4-1
0.00B 2024-09-03 22:59:52 ENV NV_LIBNPP_PACKAGE=libnpp-12-6-12.3.1.54-1
0.00B 2024-09-03 22:59:52 ENV NV_LIBNPP_VERSION=12.3.1.54-1
0.00B 2024-09-03 22:59:52 ENV NV_NVTX_VERSION=12.6.68-1
0.00B 2024-09-03 22:59:52 ENV NV_CUDA_LIB_VERSION=12.6.1-1
0.00B 2024-09-03 22:56:40 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
0.00B 2024-09-03 22:56:40 ENV NVIDIA_VISIBLE_DEVICES=all
17.29KB 2024-09-03 22:56:40 COPY NGC-DL-CONTAINER-LICENSE / # buildkit
0.00B 2024-09-03 22:56:40 ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
0.00B 2024-09-03 22:56:40 ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
46.00B 2024-09-03 22:56:40 RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
289.86MB 2024-09-03 22:56:40 RUN |1 TARGETARCH=amd64 /bin/sh -c yum upgrade -y && yum install -y cuda-cudart-12-6-${NV_CUDA_CUDART_VERSION} cuda-compat-12-6 && yum clean all && rm -rf /var/cache/yum/* # buildkit
0.00B 2024-09-03 22:56:10 ENV CUDA_VERSION=12.6.1
1.61KB 2024-09-03 22:56:10 RUN |1 TARGETARCH=amd64 /bin/sh -c NVIDIA_GPGKEY_SUM=d0664fbbdb8c32356d45de36c5984617217b2d0bef41b93ccecd326ba3b80c87 && curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/rhel9/${NVARCH}/D42D0685.pub | sed '/^Version/d' > /etc/pki/rpm-gpg/RPM-GPG-KEY-NVIDIA && echo "$NVIDIA_GPGKEY_SUM /etc/pki/rpm-gpg/RPM-GPG-KEY-NVIDIA" | sha256sum -c --strict - # buildkit
0.00B 2024-05-31 07:17:31 LABEL maintainer=NVIDIA CORPORATION <sw-cuda-installer@nvidia.com>
0.00B 2024-05-31 07:17:31 ARG TARGETARCH
165.00B 2024-05-31 07:17:31 COPY cuda.repo-x86_64 /etc/yum.repos.d/cuda.repo # buildkit
0.00B 2024-05-31 07:17:31 ENV NV_CUDA_CUDART_VERSION=12.6.68-1
0.00B 2024-05-31 07:17:31 ENV NVIDIA_REQUIRE_CUDA=cuda>=12.6 brand=unknown,driver>=470,driver<471 brand=grid,driver>=470,driver<471 brand=tesla,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=vapps,driver>=470,driver<471 brand=vpc,driver>=470,driver<471 brand=vcs,driver>=470,driver<471 brand=vws,driver>=470,driver<471 brand=cloudgaming,driver>=470,driver<471 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=550,driver<551 brand=grid,driver>=550,driver<551 brand=tesla,driver>=550,driver<551 brand=nvidia,driver>=550,driver<551 brand=quadro,driver>=550,driver<551 brand=quadrortx,driver>=550,driver<551 brand=nvidiartx,driver>=550,driver<551 brand=vapps,driver>=550,driver<551 brand=vpc,driver>=550,driver<551 brand=vcs,driver>=550,driver<551 brand=vws,driver>=550,driver<551 brand=cloudgaming,driver>=550,driver<551
0.00B 2024-05-31 07:17:31 ENV NVARCH=x86_64
0.00B 2023-11-29 04:08:58 CMD ["/bin/bash"]
175.57MB 2023-11-29 04:08:58 ADD layer.tar.xz / # buildkit

镜像信息 

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    "Metadata": {
        "LastTagTime": "2024-09-24T01:18:18.336043564+08:00"
    }
}

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