docker.io/nvidia/cuda:12.3.2-cudnn9-devel-centos7 linux/amd64

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.3.2-cudnn9-devel-centos7
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.3.2-cudnn9-devel-centos7  docker.io/nvidia/cuda:12.3.2-cudnn9-devel-centos7

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.3.2-cudnn9-devel-centos7
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.3.2-cudnn9-devel-centos7  docker.io/nvidia/cuda:12.3.2-cudnn9-devel-centos7

Shell快速替换命令

sed -i 's#nvidia/cuda:12.3.2-cudnn9-devel-centos7#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.3.2-cudnn9-devel-centos7#' 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:12.3.2-cudnn9-devel-centos7 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.3.2-cudnn9-devel-centos7  docker.io/nvidia/cuda:12.3.2-cudnn9-devel-centos7'

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:12.3.2-cudnn9-devel-centos7 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.3.2-cudnn9-devel-centos7  docker.io/nvidia/cuda:12.3.2-cudnn9-devel-centos7'

镜像构建历史

# 2024-02-28 07:51:52  1.05GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c yum install -y     ${NV_CUDNN_PACKAGE}     ${NV_CUDNN_PACKAGE_DEV}     && yum clean all     && rm -rf /var/cache/yum/* # buildkit
                        
# 2024-02-28 07:51:52  0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=9.0.0.312-1
                        
# 2024-02-28 07:51:52  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <sw-cuda-installer@nvidia.com>
                        
# 2024-02-28 07:51:52  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-02-28 07:51:52  0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn9-devel-cuda-12-9.0.0.312-1
                        
# 2024-02-28 07:51:52  0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn9-cuda-12-9.0.0.312-1
                        
# 2024-02-28 07:51:52  0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=9.0.0.312-1
                        
# 2024-02-28 07:45:23  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2024-02-28 07:45:23  4.47GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c yum install -y     make     findutils     cuda-command-line-tools-12-3-${NV_CUDA_LIB_VERSION}     cuda-libraries-devel-12-3-${NV_CUDA_LIB_VERSION}     cuda-minimal-build-12-3-${NV_CUDA_LIB_VERSION}     cuda-cudart-devel-12-3-${NV_CUDA_CUDART_DEV_VERSION}     ${NV_NVPROF_DEV_PACKAGE}     cuda-nvml-devel-12-3-${NV_NVML_DEV_VERSION}     libcublas-devel-12-3-${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
                        
# 2024-02-28 07:45:23  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <sw-cuda-installer@nvidia.com>
                        
# 2024-02-28 07:45:23  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-02-28 07:45:23  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-3-12.3.2-1
                        
# 2024-02-28 07:45:23  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.3.2-1
                        
# 2024-02-28 07:45:23  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-devel-2.20.3-1+cuda12.3
                        
# 2024-02-28 07:45:23  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.20.3
                        
# 2024-02-28 07:45:23  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.20.3-1
                        
# 2024-02-28 07:45:23  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-devel
                        
# 2024-02-28 07:45:23  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-devel-12-3-12.2.3.2-1
                        
# 2024-02-28 07:45:23  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=12.2.3.2-1
                        
# 2024-02-28 07:45:23  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=12.3.4.1-1
                        
# 2024-02-28 07:45:23  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=12.3.101-1
                        
# 2024-02-28 07:45:23  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=12.3.101-1
                        
# 2024-02-28 07:45:23  0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-3-12.3.101-1
                        
# 2024-02-28 07:45:23  0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=12.3.101-1
                        
# 2024-02-28 07:45:23  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.3.2-1
                        
# 2024-02-28 07:42:13  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2024-02-28 07:42:13  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2024-02-28 07:42:13  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2024-02-28 07:42:13  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2024-02-28 07:42:13  2.01GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c yum install -y     cuda-libraries-12-3-${NV_CUDA_LIB_VERSION}     cuda-nvtx-12-3-${NV_NVTX_VERSION}     ${NV_LIBNPP_PACKAGE}     libcublas-12-3-${NV_LIBCUBLAS_VERSION}     ${NV_LIBNCCL_PACKAGE}     && yum clean all     && rm -rf /var/cache/yum/* # buildkit
                        
# 2024-02-28 07:42:13  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <sw-cuda-installer@nvidia.com>
                        
# 2024-02-28 07:42:13  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-02-28 07:42:13  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl-2.20.3-1+cuda12.3
                        
# 2024-02-28 07:42:13  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.20.3
                        
# 2024-02-28 07:42:13  0.00B 设置环境变量 NV_LIBNCCL_VERSION
ENV NV_LIBNCCL_VERSION=2.20.3
                        
# 2024-02-28 07:42:13  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.20.3-1
                        
# 2024-02-28 07:42:13  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl
                        
# 2024-02-28 07:42:13  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.3.4.1-1
                        
# 2024-02-28 07:42:13  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-3-12.2.3.2-1
                        
# 2024-02-28 07:42:13  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.2.3.2-1
                        
# 2024-02-28 07:42:13  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.3.101-1
                        
# 2024-02-28 07:42:13  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.3.2-1
                        
# 2024-02-28 07:40:36  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2024-02-28 07:40:36  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2024-02-28 07:40:36  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2024-02-28 07:40:36  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2024-02-28 07:40:36  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
                        
# 2024-02-28 07:40:36  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
                        
# 2024-02-28 07:40:35  316.78MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c yum upgrade -y && yum install -y     cuda-cudart-12-3-${NV_CUDA_CUDART_VERSION}     cuda-compat-12-3     && yum clean all     && rm -rf /var/cache/yum/* # buildkit
                        
# 2024-02-28 07:39:11  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.3.2
                        
# 2024-02-28 07:39:11  22.09KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c NVIDIA_GPGKEY_SUM=d0664fbbdb8c32356d45de36c5984617217b2d0bef41b93ccecd326ba3b80c87 &&     curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/rhel7/${NVARCH}/D42D0685.pub | sed '/^Version/d' > /etc/pki/rpm-gpg/RPM-GPG-KEY-NVIDIA &&     echo "$NVIDIA_GPGKEY_SUM  /etc/pki/rpm-gpg/RPM-GPG-KEY-NVIDIA" | sha256sum -c --strict - # buildkit
                        
# 2023-03-08 03:49:27  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <sw-cuda-installer@nvidia.com>
                        
# 2023-03-08 03:49:27  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-03-08 03:49:27  165.00B 复制新文件或目录到容器中
COPY cuda.repo-x86_64 /etc/yum.repos.d/cuda.repo # buildkit
                        
# 2023-03-08 03:49:27  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.3.101-1
                        
# 2023-03-08 03:49:27  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 brand brand brand brand brand brand brand brand brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.3 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 brand=tesla,driver>=535,driver<536 brand=unknown,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=geforce,driver>=535,driver<536 brand=geforcertx,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=titan,driver>=535,driver<536 brand=titanrtx,driver>=535,driver<536
                        
# 2023-03-08 03:49:27  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2021-09-16 02:20:23  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2021-09-16 02:20:23  0.00B 
/bin/sh -c #(nop)  LABEL org.label-schema.schema-version=1.0 org.label-schema.name=CentOS Base Image org.label-schema.vendor=CentOS org.label-schema.license=GPLv2 org.label-schema.build-date=20201113 org.opencontainers.image.title=CentOS Base Image org.opencontainers.image.vendor=CentOS org.opencontainers.image.licenses=GPL-2.0-only org.opencontainers.image.created=2020-11-13 00:00:00+00:00
                        
# 2021-09-16 02:20:23  203.94MB 
/bin/sh -c #(nop) ADD file:b3ebbe8bd304723d43b7b44a6d990cd657b63d93d6a2a9293983a30bfc1dfa53 in / 
                        
                    

镜像信息

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            "NV_LIBNCCL_PACKAGE_VERSION=2.20.3-1",
            "NV_LIBNCCL_VERSION=2.20.3",
            "NCCL_VERSION=2.20.3",
            "NV_LIBNCCL_PACKAGE=libnccl-2.20.3-1+cuda12.3",
            "NVIDIA_PRODUCT_NAME=CUDA",
            "NV_NVPROF_VERSION=12.3.101-1",
            "NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-3-12.3.101-1",
            "NV_CUDA_CUDART_DEV_VERSION=12.3.101-1",
            "NV_NVML_DEV_VERSION=12.3.101-1",
            "NV_LIBCUBLAS_DEV_VERSION=12.3.4.1-1",
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