docker.io/nvcr.io/nvidia/k8s-device-plugin:v0.12.0 linux/amd64

docker.io/nvcr.io/nvidia/k8s-device-plugin:v0.12.0 - 国内下载镜像源 浏览次数:12

这是一个 NVIDIA 提供的 Kubernetes 设备插件镜像。它允许 Kubernetes 集群中的 Pod 访问 NVIDIA GPU。通过使用这个镜像,可以方便地在 Kubernetes 集群中运行需要 GPU 加速的应用程序,例如深度学习训练和推理。

源镜像 docker.io/nvcr.io/nvidia/k8s-device-plugin:v0.12.0
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/k8s-device-plugin:v0.12.0
镜像ID sha256:4eadcbba86e8ba2e6a1a5fab018e0be2196fb64a84615295225dc6e876072d63
镜像TAG v0.12.0
大小 277.04MB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD
启动入口 nvidia-device-plugin
工作目录
OS/平台 linux/amd64
浏览量 12 次
贡献者 he****b@163.com
镜像创建 2022-06-06T19:48:30.163499547Z
同步时间 2025-12-24 09:26
更新时间 2025-12-24 15:36
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>=11.7 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=quadrortx,driver>=470,driver<471 brand=unknown,driver>=510,driver<511 brand=nvidia,driver>=510,driver<511 brand=nvidiartx,driver>=510,driver<511 brand=quadrortx,driver>=510,driver<511 NV_CUDA_CUDART_VERSION=11.7.60-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-7 CUDA_VERSION=11.7.0 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=utility NVIDIA_DISABLE_REQUIRE=true
镜像标签
See summary: description NVIDIA Device Plugin: io.k8s.display-name NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer NVIDIA Device Plugin: name N/A: release NVIDIA device plugin for Kubernetes: summary NVIDIA: vendor e8006869: version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/k8s-device-plugin:v0.12.0
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/k8s-device-plugin:v0.12.0  docker.io/nvcr.io/nvidia/k8s-device-plugin:v0.12.0

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/k8s-device-plugin:v0.12.0
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/k8s-device-plugin:v0.12.0  docker.io/nvcr.io/nvidia/k8s-device-plugin:v0.12.0

Shell快速替换命令

sed -i 's#nvcr.io/nvidia/k8s-device-plugin:v0.12.0#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/k8s-device-plugin:v0.12.0#' 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/nvcr.io/nvidia/k8s-device-plugin:v0.12.0 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/k8s-device-plugin:v0.12.0  docker.io/nvcr.io/nvidia/k8s-device-plugin:v0.12.0'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/k8s-device-plugin:v0.12.0 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/k8s-device-plugin:v0.12.0  docker.io/nvcr.io/nvidia/k8s-device-plugin:v0.12.0'

镜像构建历史


# 2022-06-07 03:48:30  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["nvidia-device-plugin"]
                        
# 2022-06-07 03:48:30  27.47MB 执行命令并创建新的镜像层
RUN |2 VERSION=e8006869 CVE_UPDATES=libsasl2-2 libsasl2-modules-db /bin/sh -c if [ -n "${CVE_UPDATES}" ]; then         rm -f /etc/apt/sources.list.d/cuda.list &&         apt-get update && apt-get upgrade -y ${CVE_UPDATES} &&         rm -rf /var/lib/apt/lists/*;     fi # buildkit
                        
# 2022-06-07 03:48:04  0.00B 定义构建参数
ARG CVE_UPDATES
                        
# 2022-06-07 03:48:04  13.78MB 复制新文件或目录到容器中
COPY /artifacts/nvidia-device-plugin /usr/bin/nvidia-device-plugin # buildkit
                        
# 2022-06-07 03:48:04  25.18MB 复制新文件或目录到容器中
COPY /artifacts/config-manager /usr/bin/config-manager # buildkit
                        
# 2022-06-07 03:44:27  16.05KB 执行命令并创建新的镜像层
RUN |1 VERSION=e8006869 /bin/sh -c mkdir /licenses && mv /NGC-DL-CONTAINER-LICENSE /licenses/NGC-DL-CONTAINER-LICENSE # buildkit
                        
# 2022-06-07 03:44:27  0.00B 添加元数据标签
LABEL description=See summary
                        
# 2022-06-07 03:44:27  0.00B 添加元数据标签
LABEL summary=NVIDIA device plugin for Kubernetes
                        
# 2022-06-07 03:44:27  0.00B 添加元数据标签
LABEL release=N/A
                        
# 2022-06-07 03:44:27  0.00B 添加元数据标签
LABEL version=e8006869
                        
# 2022-06-07 03:44:27  0.00B 定义构建参数
ARG VERSION=N/A
                        
# 2022-06-07 03:44:27  0.00B 添加元数据标签
LABEL vendor=NVIDIA
                        
# 2022-06-07 03:44:27  0.00B 添加元数据标签
LABEL name=NVIDIA Device Plugin
                        
# 2022-06-07 03:44:27  0.00B 添加元数据标签
LABEL io.k8s.display-name=NVIDIA Device Plugin
                        
# 2022-06-07 03:44:27  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=utility
                        
# 2022-06-07 03:44:27  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2022-06-07 03:44:27  0.00B 设置环境变量 NVIDIA_DISABLE_REQUIRE
ENV NVIDIA_DISABLE_REQUIRE=true
                        
# 2022-05-19 02:09:56  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2022-05-19 02:09:56  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2022-05-19 02:09:56  16.05KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2022-05-19 02:09:56  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2022-05-19 02:09:56  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
                        
# 2022-05-19 02:09:56  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
                        
# 2022-05-19 02:09:56  119.54MB 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-11-7=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && ln -s cuda-11.7 /usr/local/cuda &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2022-05-19 02:05:24  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=11.7.0
                        
# 2022-05-19 02:05:24  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
                        
# 2022-05-19 02:05:24  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2022-05-19 02:05:24  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2022-05-19 02:05:24  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-7
                        
# 2022-05-19 02:05:24  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=11.7.60-1
                        
# 2022-05-19 02:05:24  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand brand brand brand brand brand brand brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=11.7 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=quadrortx,driver>=470,driver<471 brand=unknown,driver>=510,driver<511 brand=nvidia,driver>=510,driver<511 brand=nvidiartx,driver>=510,driver<511 brand=quadrortx,driver>=510,driver<511
                        
# 2022-05-19 02:05:24  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2022-04-30 07:20:59  0.00B 
/bin/sh -c #(nop)  CMD ["bash"]
                        
# 2022-04-30 07:20:59  72.76MB 
/bin/sh -c #(nop) ADD file:7009ad0ee0bbe5ed7f381792e07347e260e6896aeee0d80597808065120fa96b in / 
                        
                    

镜像信息

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更多版本

docker.io/nvcr.io/nvidia/k8s-device-plugin:v0.15.0

linux/amd64 docker.io348.21MB2025-09-22 12:28
178

docker.io/nvcr.io/nvidia/k8s-device-plugin:v0.17.4

linux/amd64 docker.io722.30MB2025-10-08 12:17
183

docker.io/nvcr.io/nvidia/k8s-device-plugin:v0.18.0

linux/amd64 docker.io151.05MB2025-10-31 10:31
184

docker.io/nvcr.io/nvidia/k8s-device-plugin:v0.18.1

linux/amd64 docker.io155.25MB2025-12-17 16:22
48

docker.io/nvcr.io/nvidia/k8s-device-plugin:v0.12.0

linux/amd64 docker.io277.04MB2025-12-24 09:26
11