docker.io/nvidia/dcgm-exporter:3.1.3-3.1.2-ubuntu20.04 linux/arm64

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/dcgm-exporter:3.1.3-3.1.2-ubuntu20.04-linuxarm64
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/dcgm-exporter:3.1.3-3.1.2-ubuntu20.04-linuxarm64  docker.io/nvidia/dcgm-exporter:3.1.3-3.1.2-ubuntu20.04

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/dcgm-exporter:3.1.3-3.1.2-ubuntu20.04-linuxarm64
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/dcgm-exporter:3.1.3-3.1.2-ubuntu20.04-linuxarm64  docker.io/nvidia/dcgm-exporter:3.1.3-3.1.2-ubuntu20.04

Shell快速替换命令

sed -i 's#nvidia/dcgm-exporter:3.1.3-3.1.2-ubuntu20.04#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/dcgm-exporter:3.1.3-3.1.2-ubuntu20.04-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/dcgm-exporter:3.1.3-3.1.2-ubuntu20.04-linuxarm64 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/dcgm-exporter:3.1.3-3.1.2-ubuntu20.04-linuxarm64  docker.io/nvidia/dcgm-exporter:3.1.3-3.1.2-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/dcgm-exporter:3.1.3-3.1.2-ubuntu20.04-linuxarm64 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/dcgm-exporter:3.1.3-3.1.2-ubuntu20.04-linuxarm64  docker.io/nvidia/dcgm-exporter:3.1.3-3.1.2-ubuntu20.04'

镜像构建历史

# 2022-12-13 07:40:31  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/usr/local/dcgm/dcgm-exporter-entrypoint.sh"]
                        
# 2022-12-13 07:40:31  830.00B 执行命令并创建新的镜像层
RUN |1 DCGM_VERSION=3.1.3 /bin/sh -c chmod +x /usr/local/dcgm/dcgm-exporter-entrypoint.sh # buildkit
                        
# 2022-12-13 07:40:31  830.00B 复制新文件或目录到容器中
COPY docker/dcgm-exporter-entrypoint.sh /usr/local/dcgm/dcgm-exporter-entrypoint.sh # buildkit
                        
# 2022-12-13 07:40:31  0.00B 设置环境变量 NO_SETCAP
ENV NO_SETCAP=
                        
# 2022-12-13 07:40:31  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2022-12-13 07:40:31  0.00B 设置环境变量 NVIDIA_DISABLE_REQUIRE
ENV NVIDIA_DISABLE_REQUIRE=true
                        
# 2022-12-13 07:40:31  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility,compat32
                        
# 2022-12-13 07:40:31  909.54MB 执行命令并创建新的镜像层
RUN |1 DCGM_VERSION=3.1.3 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     datacenter-gpu-manager=1:${DCGM_VERSION} libcap2-bin && apt-get purge --autoremove -y openssl # buildkit
                        
# 2022-12-13 07:38:32  0.00B 定义构建参数
ARG DCGM_VERSION
                        
# 2022-12-13 07:38:32  13.50KB 复制新文件或目录到容器中
COPY etc /etc/dcgm-exporter # buildkit
                        
# 2022-12-13 07:38:32  40.29MB 复制新文件或目录到容器中
COPY /go/src/github.com/NVIDIA/dcgm-exporter/cmd/dcgm-exporter/dcgm-exporter /usr/bin/ # buildkit
                        
# 2022-12-13 07:38:32  0.00B 添加元数据标签
LABEL io.k8s.display-name=NVIDIA DCGM Exporter
                        
# 2022-10-28 01:11:08  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2022-10-28 01:11:08  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2022-10-28 01:11:08  16.05KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2022-10-28 01:11:08  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2022-10-28 01:11:08  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
                        
# 2022-10-28 01:11:08  46.00B 执行命令并创建新的镜像层
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
                        
# 2022-10-28 01:11:08  1.43MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=arm64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-cudart-11-8=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && ln -s cuda-11.8 /usr/local/cuda &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2022-10-28 01:10:28  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=11.8.0
                        
# 2022-10-28 01:10:28  17.38MB 执行命令并创建新的镜像层
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/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
                        
# 2022-10-28 01:10:28  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2022-10-28 01:10:28  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2022-10-28 01:10:28  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=11.8.89-1
                        
# 2022-10-28 01:10:28  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA
ENV NVIDIA_REQUIRE_CUDA=cuda>=11.8
                        
# 2022-10-28 01:10:28  0.00B 设置环境变量 NVARCH
ENV NVARCH=sbsa
                        
# 2022-10-25 13:54:59  0.00B 
/bin/sh -c #(nop)  CMD ["bash"]
                        
# 2022-10-25 13:54:59  65.66MB 
/bin/sh -c #(nop) ADD file:6784d0c4432f4f32d6ee4d96eedf33ea82d88ef6901c763665fa77c842621999 in / 
                        
                    

镜像信息

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        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
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            "NVIDIA_REQUIRE_CUDA=cuda\u003e=11.8",
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