docker.io/kubesphere/dcgm-exporter:3.3.5-3.4.0-ubuntu22.04 linux/arm64

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubesphere/dcgm-exporter:3.3.5-3.4.0-ubuntu22.04-linuxarm64
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubesphere/dcgm-exporter:3.3.5-3.4.0-ubuntu22.04-linuxarm64  docker.io/kubesphere/dcgm-exporter:3.3.5-3.4.0-ubuntu22.04

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubesphere/dcgm-exporter:3.3.5-3.4.0-ubuntu22.04-linuxarm64
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubesphere/dcgm-exporter:3.3.5-3.4.0-ubuntu22.04-linuxarm64  docker.io/kubesphere/dcgm-exporter:3.3.5-3.4.0-ubuntu22.04

Shell快速替换命令

sed -i 's#kubesphere/dcgm-exporter:3.3.5-3.4.0-ubuntu22.04#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubesphere/dcgm-exporter:3.3.5-3.4.0-ubuntu22.04-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/kubesphere/dcgm-exporter:3.3.5-3.4.0-ubuntu22.04-linuxarm64 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubesphere/dcgm-exporter:3.3.5-3.4.0-ubuntu22.04-linuxarm64  docker.io/kubesphere/dcgm-exporter:3.3.5-3.4.0-ubuntu22.04'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubesphere/dcgm-exporter:3.3.5-3.4.0-ubuntu22.04-linuxarm64 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubesphere/dcgm-exporter:3.3.5-3.4.0-ubuntu22.04-linuxarm64  docker.io/kubesphere/dcgm-exporter:3.3.5-3.4.0-ubuntu22.04'

镜像构建历史

# 2024-02-27 06:27:46  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/usr/local/dcgm/dcgm-exporter-entrypoint.sh"]
                        
# 2024-02-27 06:27:46  830.00B 执行命令并创建新的镜像层
RUN |1 DCGM_VERSION=3.3.5 /bin/sh -c chmod +x /usr/local/dcgm/dcgm-exporter-entrypoint.sh # buildkit
                        
# 2024-02-27 06:27:45  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
                        
# 2024-02-27 06:27:45  0.00B 设置环境变量 NO_SETCAP
ENV NO_SETCAP=
                        
# 2024-02-27 06:27:45  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2024-02-27 06:27:45  0.00B 设置环境变量 NVIDIA_DISABLE_REQUIRE
ENV NVIDIA_DISABLE_REQUIRE=true
                        
# 2024-02-27 06:27:45  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility,compat32
                        
# 2024-02-27 06:27:45  856.60MB 执行命令并创建新的镜像层
RUN |1 DCGM_VERSION=3.3.5 /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 	&& apt-get autoremove -y 	&& rm -rf /var/lib/apt/lists/* 	&& rm -rfd /usr/local/dcgm/bindings /usr/local/dcgm/sdk_samples /usr/share/nvidia-validation-suite # buildkit
                        
# 2024-02-27 06:25:16  0.00B 定义构建参数
ARG DCGM_VERSION
                        
# 2024-02-27 06:25:16  13.78KB 复制新文件或目录到容器中
COPY etc /etc/dcgm-exporter # buildkit
                        
# 2024-02-27 06:25:16  41.78MB 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
                        
# 2024-02-27 06:25:16  0.00B 添加元数据标签
LABEL io.k8s.display-name=NVIDIA DCGM Exporter
                        
# 2023-12-06 04:04:59  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2023-12-06 04:04:59  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-12-06 04:04:59  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2023-12-06 04:04:59  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2023-12-06 04:04:59  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
                        
# 2023-12-06 04:04:59  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
                        
# 2023-12-06 04:04:58  1.45MB 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-12-3=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-12-06 04:04:19  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.3.1
                        
# 2023-12-06 04:04:19  10.21MB 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 -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${NVARCH}/cuda-keyring_1.0-1_all.deb &&     dpkg -i cuda-keyring_1.0-1_all.deb &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-12-06 04:04:19  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-12-06 04:04:19  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-12-06 04:04:19  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.3.101-1
                        
# 2023-12-06 04:04:19  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA
ENV NVIDIA_REQUIRE_CUDA=CUDA>=12.3
                        
# 2023-12-06 04:04:19  0.00B 设置环境变量 NVARCH
ENV NVARCH=sbsa
                        
# 2023-12-01 15:43:22  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2023-12-01 15:43:21  69.26MB 
/bin/sh -c #(nop) ADD file:891dcab0c4ce2880c4dca013d326a3efd7601003b6f5076938d678101e301b79 in / 
                        
# 2023-12-01 15:43:20  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2023-12-01 15:43:20  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2023-12-01 15:43:20  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2023-12-01 15:43:19  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

{
    "Id": "sha256:c3cee400638ee8ac8628fb1200121a8371bca4782e84141b47a47fb98aa6a2b5",
    "RepoTags": [
        "kubesphere/dcgm-exporter:3.3.5-3.4.0-ubuntu22.04",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubesphere/dcgm-exporter:3.3.5-3.4.0-ubuntu22.04-linuxarm64"
    ],
    "RepoDigests": [
        "kubesphere/dcgm-exporter@sha256:ab1e183c2ccd5820db379027f58cb928af29c2e8a87dd6decc39afac9f15d677",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubesphere/dcgm-exporter@sha256:5f436fe757d7fcbf4a490126011dded641a1e83f63c869fb7232bd04e4eddd07"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2024-02-26T22:27:46.072086775Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "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\u003e=12.3",
            "NV_CUDA_CUDART_VERSION=12.3.101-1",
            "CUDA_VERSION=12.3.1",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility,compat32",
            "NVIDIA_DISABLE_REQUIRE=true",
            "NO_SETCAP="
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "",
        "Entrypoint": [
            "/usr/local/dcgm/dcgm-exporter-entrypoint.sh"
        ],
        "OnBuild": null,
        "Labels": {
            "io.k8s.display-name": "NVIDIA DCGM Exporter",
            "maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "22.04"
        }
    },
    "Architecture": "arm64",
    "Os": "linux",
    "Size": 979332034,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/f5d879fd31be78ca1652df00c2a003d68e9098e640758df865fc93c577a72fe0/diff:/var/lib/docker/overlay2/384e2a2a0d18d008957238d03d5c80ac4c02fe35a43b6566eb6e3435e01ecfee/diff:/var/lib/docker/overlay2/ea8b4eb6a65278714af94232f0e6c2ccaeee1359c7a469ac59f2762f1e119f4b/diff:/var/lib/docker/overlay2/819702644d098123a408c53bb9a413b2301560d19144bce8d74362f040da6020/diff:/var/lib/docker/overlay2/35fa839b1fda2c0c294ca3f0f892738e032d3cb3fcd7fb0e4b8a979ccb4d8ac9/diff:/var/lib/docker/overlay2/597d8e4722c32b8de5743978fe4df58595407e8e8407d5ec9e63d77acf195f64/diff:/var/lib/docker/overlay2/a048e751ed8a4bd9e14ec8494e9b6a38f48a3d90262df5350f36376518c47723/diff:/var/lib/docker/overlay2/7bfe1d33abae83c2dd06ba4bc48e7e16431846ec6eec496219e6465f22b4a16c/diff:/var/lib/docker/overlay2/f1ef74c5d26f8945f637548e37b46bc662f01a992ba0435dabab22e2acb01a42/diff",
            "MergedDir": "/var/lib/docker/overlay2/1501cfbe395444f1ae09af67fcb003207f8eef952005bdf5754452e684a57a7e/merged",
            "UpperDir": "/var/lib/docker/overlay2/1501cfbe395444f1ae09af67fcb003207f8eef952005bdf5754452e684a57a7e/diff",
            "WorkDir": "/var/lib/docker/overlay2/1501cfbe395444f1ae09af67fcb003207f8eef952005bdf5754452e684a57a7e/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:17ccff5b06b404f920af4557c0e2cb6ee5551b7136dc0cdb4f9aaf1bf71c643c",
            "sha256:4546c7b6e98a0b176c19cf1da94d9cc27574198f35fab0d9a5a6851e690ecc38",
            "sha256:fa35697dcffeebbe260f1c5865de1a136e0ad9057b2958cf3bd71135834ffba5",
            "sha256:4952eaac51ca80fa4d953dcff5462bb2befdbbbb3dff1d7075ed586cdb6f8329",
            "sha256:bae3163c64b8b68219650de78b815c847d18903a1419dd7e45cf23309e825549",
            "sha256:eb6c36a7c1e92dc01401246e50f385dcc37806fd1cb8b192ea7c9b228b6a06f9",
            "sha256:e9bcff082268be19c009b80564d171fff77832841bf18a43acaa0719629a1a5b",
            "sha256:88134d0f20c49309b71f03624ab62102cbee7350c49793704b0884372760ba03",
            "sha256:1116ffdb4c9fc3991df4f128df429858d0be3e7c8156eb9b34c9aae707cab577",
            "sha256:559a7560dc598fb3c04bf7058ca2bbb3f0fce38c1211b0e26a7e67ae95e13fef"
        ]
    },
    "Metadata": {
        "LastTagTime": "2025-09-04T09:10:11.74436147+08:00"
    }
}