docker.io/nvidia/dcgm-exporter:3.1.7-3.1.4-ubuntu20.04 linux/amd64

docker.io/nvidia/dcgm-exporter:3.1.7-3.1.4-ubuntu20.04 - 国内下载镜像源 浏览次数:12

NVIDIA DCGM Exporter

NVIDIA DCGM Exporter是用于export NVIDIA GPU监控数据的工具。

它可以提供GPU相关的性能指标和状态信息，例如温度、内存使用率等。

源镜像 docker.io/nvidia/dcgm-exporter:3.1.7-3.1.4-ubuntu20.04
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/dcgm-exporter:3.1.7-3.1.4-ubuntu20.04
镜像ID sha256:ca8d512ede5e00011910f710afb485ade62b594463cbb4874b80f5dfff99ffb1
镜像TAG 3.1.7-3.1.4-ubuntu20.04
大小 2.01GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD
启动入口 /usr/local/dcgm/dcgm-exporter-entrypoint.sh
工作目录
OS/平台 linux/amd64
浏览量 12 次
贡献者 15*******8@qq.com
镜像创建 2023-03-31T19:34:50.422693112Z
同步时间 2025-08-25 17:29
更新时间 2025-08-26 02:35
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>=12.1 brand=tesla,driver>=450,driver<451 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>=510,driver<511 brand=unknown,driver>=510,driver<511 brand=nvidia,driver>=510,driver<511 brand=nvidiartx,driver>=510,driver<511 brand=geforce,driver>=510,driver<511 brand=geforcertx,driver>=510,driver<511 brand=quadro,driver>=510,driver<511 brand=quadrortx,driver>=510,driver<511 brand=titan,driver>=510,driver<511 brand=titanrtx,driver>=510,driver<511 brand=tesla,driver>=515,driver<516 brand=unknown,driver>=515,driver<516 brand=nvidia,driver>=515,driver<516 brand=nvidiartx,driver>=515,driver<516 brand=geforce,driver>=515,driver<516 brand=geforcertx,driver>=515,driver<516 brand=quadro,driver>=515,driver<516 brand=quadrortx,driver>=515,driver<516 brand=titan,driver>=515,driver<516 brand=titanrtx,driver>=515,driver<516 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 NV_CUDA_CUDART_VERSION=12.1.55-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1 CUDA_VERSION=12.1.0 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=
镜像标签
NVIDIA DCGM Exporter: io.k8s.display-name NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer ubuntu: org.opencontainers.image.ref.name 20.04: org.opencontainers.image.version
无权限下载?点我修复 生成Docker Run命令 生成Kubernetes YAML资源

Docker拉取命令 

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/dcgm-exporter:3.1.7-3.1.4-ubuntu20.04
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/dcgm-exporter:3.1.7-3.1.4-ubuntu20.04  docker.io/nvidia/dcgm-exporter:3.1.7-3.1.4-ubuntu20.04

Containerd拉取命令 

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/dcgm-exporter:3.1.7-3.1.4-ubuntu20.04
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/dcgm-exporter:3.1.7-3.1.4-ubuntu20.04  docker.io/nvidia/dcgm-exporter:3.1.7-3.1.4-ubuntu20.04

Shell快速替换命令 

sed -i 's#nvidia/dcgm-exporter:3.1.7-3.1.4-ubuntu20.04#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/dcgm-exporter:3.1.7-3.1.4-ubuntu20.04#' 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:3.1.7-3.1.4-ubuntu20.04 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/dcgm-exporter:3.1.7-3.1.4-ubuntu20.04  docker.io/nvidia/dcgm-exporter:3.1.7-3.1.4-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:3.1.7-3.1.4-ubuntu20.04 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/dcgm-exporter:3.1.7-3.1.4-ubuntu20.04  docker.io/nvidia/dcgm-exporter:3.1.7-3.1.4-ubuntu20.04'

镜像构建历史 


# 2023-04-01 03:34:50  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/usr/local/dcgm/dcgm-exporter-entrypoint.sh"]
                        
# 2023-04-01 03:34:50  830.00B 执行命令并创建新的镜像层
RUN |1 DCGM_VERSION=3.1.7 /bin/sh -c chmod +x /usr/local/dcgm/dcgm-exporter-entrypoint.sh # buildkit
                        
# 2023-04-01 03:34:50  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
                        
# 2023-04-01 03:34:50  0.00B 设置环境变量 NO_SETCAP
ENV NO_SETCAP=
                        
# 2023-04-01 03:34:50  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-04-01 03:34:50  0.00B 设置环境变量 NVIDIA_DISABLE_REQUIRE
ENV NVIDIA_DISABLE_REQUIRE=true
                        
# 2023-04-01 03:34:50  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility,compat32
                        
# 2023-04-01 03:34:50  1.73GB 执行命令并创建新的镜像层
RUN |1 DCGM_VERSION=3.1.7 /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
                        
# 2023-04-01 03:34:03  0.00B 定义构建参数
ARG DCGM_VERSION
                        
# 2023-04-01 03:34:03  13.50KB 复制新文件或目录到容器中
COPY etc /etc/dcgm-exporter # buildkit
                        
# 2023-04-01 03:34:03  39.93MB 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
                        
# 2023-04-01 03:34:03  0.00B 添加元数据标签
LABEL io.k8s.display-name=NVIDIA DCGM Exporter
                        
# 2023-03-08 06:17:27  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2023-03-08 06:17:27  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-03-08 06:17:27  16.05KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2023-03-08 06:17:27  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2023-03-08 06:17:27  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
                        
# 2023-03-08 06:17:27  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
                        
# 2023-03-08 06:17:26  149.60MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-cudart-12-1=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-03-08 06:17:15  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.1.0
                        
# 2023-03-08 06:17:15  18.28MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /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
                        
# 2023-03-08 06:17:15  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-03-08 06:17:15  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-03-08 06:17:15  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1
                        
# 2023-03-08 06:17:15  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.1.55-1
                        
# 2023-03-08 06:17:15  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 brand brand brand brand brand brand brand brand brand brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.1 brand=tesla,driver>=450,driver<451 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>=510,driver<511 brand=unknown,driver>=510,driver<511 brand=nvidia,driver>=510,driver<511 brand=nvidiartx,driver>=510,driver<511 brand=geforce,driver>=510,driver<511 brand=geforcertx,driver>=510,driver<511 brand=quadro,driver>=510,driver<511 brand=quadrortx,driver>=510,driver<511 brand=titan,driver>=510,driver<511 brand=titanrtx,driver>=510,driver<511 brand=tesla,driver>=515,driver<516 brand=unknown,driver>=515,driver<516 brand=nvidia,driver>=515,driver<516 brand=nvidiartx,driver>=515,driver<516 brand=geforce,driver>=515,driver<516 brand=geforcertx,driver>=515,driver<516 brand=quadro,driver>=515,driver<516 brand=quadrortx,driver>=515,driver<516 brand=titan,driver>=515,driver<516 brand=titanrtx,driver>=515,driver<516 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
                        
# 2023-03-08 06:17:15  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2023-03-01 12:53:04  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2023-03-01 12:53:03  72.79MB 
/bin/sh -c #(nop) ADD file:3478fb5bdcf8ad03d450d48901a6a8452c0ab253f24d21b1e27f99259db2d26b in / 
                        
# 2023-03-01 12:53:02  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=20.04
                        
# 2023-03-01 12:53:01  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2023-03-01 12:53:01  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2023-03-01 12:53:01  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息 

{
    "Id": "sha256:ca8d512ede5e00011910f710afb485ade62b594463cbb4874b80f5dfff99ffb1",
    "RepoTags": [
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    ],
    "RepoDigests": [
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        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/dcgm-exporter@sha256:5273bc17416fc3458a37b14a122ab51d46bf9ecbc5864a8973063642c5fd6850"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2023-03-31T19:34:50.422693112Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
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            "NVARCH=x86_64",
            "NVIDIA_REQUIRE_CUDA=cuda\u003e=12.1 brand=tesla,driver\u003e=450,driver\u003c451 brand=tesla,driver\u003e=470,driver\u003c471 brand=unknown,driver\u003e=470,driver\u003c471 brand=nvidia,driver\u003e=470,driver\u003c471 brand=nvidiartx,driver\u003e=470,driver\u003c471 brand=geforce,driver\u003e=470,driver\u003c471 brand=geforcertx,driver\u003e=470,driver\u003c471 brand=quadro,driver\u003e=470,driver\u003c471 brand=quadrortx,driver\u003e=470,driver\u003c471 brand=titan,driver\u003e=470,driver\u003c471 brand=titanrtx,driver\u003e=470,driver\u003c471 brand=tesla,driver\u003e=510,driver\u003c511 brand=unknown,driver\u003e=510,driver\u003c511 brand=nvidia,driver\u003e=510,driver\u003c511 brand=nvidiartx,driver\u003e=510,driver\u003c511 brand=geforce,driver\u003e=510,driver\u003c511 brand=geforcertx,driver\u003e=510,driver\u003c511 brand=quadro,driver\u003e=510,driver\u003c511 brand=quadrortx,driver\u003e=510,driver\u003c511 brand=titan,driver\u003e=510,driver\u003c511 brand=titanrtx,driver\u003e=510,driver\u003c511 brand=tesla,driver\u003e=515,driver\u003c516 brand=unknown,driver\u003e=515,driver\u003c516 brand=nvidia,driver\u003e=515,driver\u003c516 brand=nvidiartx,driver\u003e=515,driver\u003c516 brand=geforce,driver\u003e=515,driver\u003c516 brand=geforcertx,driver\u003e=515,driver\u003c516 brand=quadro,driver\u003e=515,driver\u003c516 brand=quadrortx,driver\u003e=515,driver\u003c516 brand=titan,driver\u003e=515,driver\u003c516 brand=titanrtx,driver\u003e=515,driver\u003c516 brand=tesla,driver\u003e=525,driver\u003c526 brand=unknown,driver\u003e=525,driver\u003c526 brand=nvidia,driver\u003e=525,driver\u003c526 brand=nvidiartx,driver\u003e=525,driver\u003c526 brand=geforce,driver\u003e=525,driver\u003c526 brand=geforcertx,driver\u003e=525,driver\u003c526 brand=quadro,driver\u003e=525,driver\u003c526 brand=quadrortx,driver\u003e=525,driver\u003c526 brand=titan,driver\u003e=525,driver\u003c526 brand=titanrtx,driver\u003e=525,driver\u003c526",
            "NV_CUDA_CUDART_VERSION=12.1.55-1",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1",
            "CUDA_VERSION=12.1.0",
            "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": [
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        "OnBuild": null,
        "Labels": {
            "io.k8s.display-name": "NVIDIA DCGM Exporter",
            "maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
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更多版本

docker.io/nvidia/dcgm-exporter:3.3.6-3.4.2-ubuntu22.04

linux/amd64 docker.io1.47GB2024-09-02 14:21
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docker.io/nvidia/dcgm-exporter:3.3.8-3.6.0-ubuntu22.04

linux/amd64 docker.io347.12MB2024-11-19 15:53
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docker.io/nvidia/dcgm-exporter:3.3.9-3.6.1-ubuntu22.04

linux/amd64 docker.io347.16MB2024-12-30 17:49
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docker.io/nvidia/dcgm-exporter:3.2.5-3.1.7-ubuntu20.04

linux/arm64 docker.io1.06GB2025-02-07 15:18
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docker.io/nvidia/dcgm-exporter:4.1.1-4.0.3-ubuntu22.04

linux/amd64 docker.io384.10MB2025-04-15 18:26
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docker.io/nvidia/dcgm-exporter:4.1.1-4.0.4-ubuntu22.04

linux/amd64 docker.io406.72MB2025-04-15 18:28
337

docker.io/nvidia/dcgm-exporter:4.1.1-4.0.4-ubuntu22.04

linux/arm64 docker.io386.84MB2025-04-15 18:30
221

docker.io/nvidia/dcgm-exporter:3.3.9-3.6.1-ubuntu22.04

linux/arm64 docker.io1.14GB2025-06-25 13:58
78

docker.io/nvidia/dcgm-exporter:3.2.5-3.1.8-ubi8

linux/amd64 docker.io2.01GB2025-07-07 15:09
68

docker.io/nvidia/dcgm-exporter:3.1.7-3.1.4-ubuntu20.04

linux/amd64 docker.io2.01GB2025-08-25 17:29
11