docker.io/nvcr.io/nvidia/gpu-operator:v25.10.1 linux/amd64

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/gpu-operator:v25.10.1
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/gpu-operator:v25.10.1  docker.io/nvcr.io/nvidia/gpu-operator:v25.10.1

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/gpu-operator:v25.10.1
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/gpu-operator:v25.10.1  docker.io/nvcr.io/nvidia/gpu-operator:v25.10.1

Shell快速替换命令

sed -i 's#nvcr.io/nvidia/gpu-operator:v25.10.1#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/gpu-operator:v25.10.1#' 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/gpu-operator:v25.10.1 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/gpu-operator:v25.10.1  docker.io/nvcr.io/nvidia/gpu-operator:v25.10.1'

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/gpu-operator:v25.10.1 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/gpu-operator:v25.10.1  docker.io/nvcr.io/nvidia/gpu-operator:v25.10.1'

镜像构建历史

# 2025-12-04 03:57:07  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/usr/bin/gpu-operator"]
                        
# 2025-12-04 03:57:07  11.36KB 复制新文件或目录到容器中
COPY LICENSE /licenses/ # buildkit
                        
# 2025-12-04 03:57:07  0.00B 指定运行容器时使用的用户
USER 65532:65532
                        
# 2025-12-04 03:57:07  39.73KB 复制新文件或目录到容器中
COPY deployments/gpu-operator/charts/node-feature-discovery/crds/nfd-api-crds.yaml /opt/gpu-operator/nfd-api-crds.yaml # buildkit
                        
# 2025-12-04 03:57:07  40.89KB 复制新文件或目录到容器中
COPY deployments/gpu-operator/crds/nvidia.com_nvidiadrivers.yaml /opt/gpu-operator/nvidia.com_nvidiadrivers.yaml # buildkit
                        
# 2025-12-04 03:57:07  119.26KB 复制新文件或目录到容器中
COPY deployments/gpu-operator/crds/nvidia.com_clusterpolicies.yaml /opt/gpu-operator/nvidia.com_clusterpolicies.yaml # buildkit
                        
# 2025-12-04 03:57:07  8.15KB 复制新文件或目录到容器中
COPY hack/must-gather.sh /usr/bin/gather # buildkit
                        
# 2025-12-04 03:57:07  2.00KB 复制新文件或目录到容器中
COPY validator/manifests /opt/validator/manifests # buildkit
                        
# 2025-12-04 03:57:07  29.78KB 复制新文件或目录到容器中
COPY manifests /opt/gpu-operator/manifests # buildkit
                        
# 2025-12-04 03:57:07  218.31KB 复制新文件或目录到容器中
COPY assets /opt/gpu-operator/ # buildkit
                        
# 2025-12-04 03:57:07  321.36MB 复制新文件或目录到容器中
COPY /usr/local/cuda/compat /usr/local/cuda/compat # buildkit
                        
# 2025-12-04 03:57:05  1.13MB 复制新文件或目录到容器中
COPY /build/vectorAdd /usr/bin/vectorAdd # buildkit
                        
# 2025-12-04 03:57:05  50.64MB 复制新文件或目录到容器中
COPY /workspace/nvidia-validator /usr/bin/ # buildkit
                        
# 2025-12-04 03:57:04  60.56MB 复制新文件或目录到容器中
COPY /workspace/kubectl /usr/bin/ # buildkit
                        
# 2025-12-04 03:57:04  58.75MB 复制新文件或目录到容器中
COPY /workspace/gpu-operator /usr/bin/ # buildkit
                        
# 2025-12-04 03:57:04  0.00B 设置工作目录为/
WORKDIR /
                        
# 2025-12-04 03:57:04  0.00B 添加元数据标签
LABEL vsc-ref=8460187
                        
# 2025-12-04 03:57:04  0.00B 添加元数据标签
LABEL description=See summary
                        
# 2025-12-04 03:57:04  0.00B 添加元数据标签
LABEL summary=Automate the management and monitoring of NVIDIA GPUs.
                        
# 2025-12-04 03:57:04  0.00B 添加元数据标签
LABEL release=N/A
                        
# 2025-12-04 03:57:04  0.00B 添加元数据标签
LABEL version=84601875-amd64
                        
# 2025-12-04 03:57:04  0.00B 添加元数据标签
LABEL vendor=NVIDIA
                        
# 2025-12-04 03:57:04  0.00B 添加元数据标签
LABEL name=NVIDIA GPU Operator
                        
# 2025-12-04 03:57:04  0.00B 添加元数据标签
LABEL io.k8s.display-name=NVIDIA GPU Operator
                        
# 2025-12-04 03:57:04  0.00B 定义构建参数
ARG GIT_COMMIT=8460187
                        
# 2025-12-04 03:57:04  0.00B 定义构建参数
ARG VERSION=84601875-amd64
                        
# 2025-12-04 03:57:04  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=void
                        
# 0001-01-01 08:00:00  12.00B 

                        
# 0001-01-01 08:00:00  0.00B 

                        
# 0001-01-01 08:00:00  44.00B 

                        
# 0001-01-01 08:00:00  126.12KB 

                        
# 0001-01-01 08:00:00  2.31MB 

                        
# 0001-01-01 08:00:00  291.03KB 

                        
# 0001-01-01 08:00:00  94.02KB 

                        
# 0001-01-01 08:00:00  2.12MB 

                        
# 0001-01-01 08:00:00  1.04MB 

                        
# 0001-01-01 08:00:00  7.59MB 

                        
# 0001-01-01 08:00:00  12.83MB 

                        
# 0001-01-01 08:00:00  1.31MB 

                        
# 0001-01-01 08:00:00  1.64MB 

                        
# 0001-01-01 08:00:00  235.53KB 

                        
# 0001-01-01 08:00:00  346.00B 

                        
# 0001-01-01 08:00:00  497.00B 

                        
# 0001-01-01 08:00:00  0.00B 

                        
# 0001-01-01 08:00:00  64.00B 

                        
# 0001-01-01 08:00:00  0.00B 

                        
# 0001-01-01 08:00:00  149.00B 

                        
# 0001-01-01 08:00:00  0.00B 

                        
# 0001-01-01 08:00:00  1.47MB 

                        
# 0001-01-01 08:00:00  22.89KB 

                        
# 0001-01-01 08:00:00  270.74KB 

                        
                    

镜像信息

{
    "Id": "sha256:9f1aa463536f9e0ea399610e8f93bd3d358d8e729ad90f48c90b7721ae53aa41",
    "RepoTags": [
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        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/gpu-operator:v25.10.1"
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    "RepoDigests": [
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    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-12-03T14:57:07.958993103-05:00",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "65532:65532",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/busybox",
            "SSL_CERT_FILE=/etc/ssl/certs/ca-certificates.crt",
            "LD_LIBRARY_PATH=/lib/distroless/",
            "OPENSSL_MODULES=/usr/lib/x86_64-linux-gnu/ossl-modules/",
            "OPENSSL_CONF=/etc/ssl/openssl-nofips.cnf",
            "NVIDIA_VISIBLE_DEVICES=void"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/",
        "Entrypoint": [
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        "OnBuild": null,
        "Labels": {
            "description": "See summary",
            "io.k8s.display-name": "NVIDIA GPU Operator",
            "name": "NVIDIA GPU Operator",
            "org.opencontainers.image.created": "2025-10-31T19:40:45Z",
            "org.opencontainers.image.documentation": "https://gitlab-master.nvidia.com/gfn/security/container-hardening/distroless-sample-projects",
            "org.opencontainers.image.revision": "22cc0318904e95435239b8b33be16582495c892c",
            "org.opencontainers.image.source": "https://gitlab-master.nvidia.com/gfn/security/container-hardening/baseimages",
            "org.opencontainers.image.title": "C/C++ Distroless Image",
            "org.opencontainers.image.url": "https://gitlab-master.nvidia.com/gfn/security/container-hardening/distroless-sample-projects",
            "org.opencontainers.image.version": "v3.2.1",
            "release": "N/A",
            "summary": "Automate the management and monitoring of NVIDIA GPUs.",
            "vendor": "NVIDIA",
            "version": "84601875-amd64",
            "vsc-ref": "8460187"
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    "Architecture": "amd64",
    "Os": "linux",
    "Size": 524253523,
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