ghcr.io/psalias2006/gpu-hot:latest linux/amd64

ghcr.io/psalias2006/gpu-hot:latest - 国内下载镜像源 浏览次数:29

温馨提示:此镜像为latest tag镜像,本站无法保证此版本为最新镜像

源镜像 ghcr.io/psalias2006/gpu-hot:latest
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/psalias2006/gpu-hot:latest
镜像ID sha256:f171be3438e2a93d20d6c080ad378a0a84786b1b7a470c93232362c72201d670
镜像TAG latest
大小 2.59GB
镜像源 ghcr.io
CMD python3 app.py
启动入口 /opt/nvidia/nvidia_entrypoint.sh
工作目录 /app
OS/平台 linux/amd64
浏览量 29 次
贡献者 sa********g@qq.com
镜像创建 2025-10-16T23:58:24.148524457Z
同步时间 2025-10-17 12:46
更新时间 2025-10-20 23:48
开放端口
1312/tcp
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>=12.2 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>=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=12.2.140-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-2 CUDA_VERSION=12.2.2 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=12.2.2-1 NV_NVTX_VERSION=12.2.140-1 NV_LIBNPP_VERSION=12.2.1.4-1 NV_LIBNPP_PACKAGE=libnpp-12-2=12.2.1.4-1 NV_LIBCUSPARSE_VERSION=12.1.2.141-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-2 NV_LIBCUBLAS_VERSION=12.2.5.6-1 NV_LIBCUBLAS_PACKAGE=libcublas-12-2=12.2.5.6-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.19.3-1 NCCL_VERSION=2.19.3-1 NV_LIBNCCL_PACKAGE=libnccl2=2.19.3-1+cuda12.2 NVIDIA_PRODUCT_NAME=CUDA DEBIAN_FRONTEND=noninteractive PYTHONUNBUFFERED=1
镜像标签
NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer 2025-10-16T23:58:39.983Z: org.opencontainers.image.created 🔥 Real-time NVIDIA GPU dashboard: org.opencontainers.image.description MIT: org.opencontainers.image.licenses ubuntu: org.opencontainers.image.ref.name 034a7ce5a06ecededa8fda596844327b5d0f2e61: org.opencontainers.image.revision https://github.com/psalias2006/gpu-hot: org.opencontainers.image.source gpu-hot: org.opencontainers.image.title https://github.com/psalias2006/gpu-hot: org.opencontainers.image.url 1.5.0: org.opencontainers.image.version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/psalias2006/gpu-hot:latest
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/psalias2006/gpu-hot:latest  ghcr.io/psalias2006/gpu-hot:latest

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/psalias2006/gpu-hot:latest
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/psalias2006/gpu-hot:latest  ghcr.io/psalias2006/gpu-hot:latest

Shell快速替换命令

sed -i 's#ghcr.io/psalias2006/gpu-hot:latest#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/psalias2006/gpu-hot:latest#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/psalias2006/gpu-hot:latest && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/psalias2006/gpu-hot:latest  ghcr.io/psalias2006/gpu-hot:latest'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/psalias2006/gpu-hot:latest && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/psalias2006/gpu-hot:latest  ghcr.io/psalias2006/gpu-hot:latest'

镜像构建历史


# 2025-10-17 07:58:24  0.00B 设置默认要执行的命令
CMD ["python3" "app.py"]
                        
# 2025-10-17 07:58:24  0.00B 指定检查容器健康状态的命令
HEALTHCHECK &{["CMD-SHELL" "curl -f http://localhost:1312/api/gpu-data || exit 1"] "30s" "10s" "5s" "0s" '\x03'}
                        
# 2025-10-17 07:58:24  0.00B 声明容器运行时监听的端口
EXPOSE [1312/tcp]
                        
# 2025-10-17 07:58:24  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c mkdir -p templates # buildkit
                        
# 2025-10-17 07:58:24  231.90KB 复制新文件或目录到容器中
COPY . . # buildkit
                        
# 2025-10-17 07:58:24  36.98MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip3 install --no-cache-dir -r requirements.txt # buildkit
                        
# 2025-10-17 07:58:18  138.00B 复制新文件或目录到容器中
COPY requirements.txt . # buildkit
                        
# 2025-10-10 03:36:40  0.00B 设置工作目录为/app
WORKDIR /app
                        
# 2025-10-10 03:36:40  365.18MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get install -y     python3     python3-pip     curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-10-10 03:36:40  0.00B 设置环境变量 PYTHONUNBUFFERED
ENV PYTHONUNBUFFERED=1
                        
# 2025-10-10 03:36:40  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2023-11-10 12:59:11  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2023-11-10 12:59:11  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2023-11-10 12:59:11  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2023-11-10 12:59:11  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2023-11-10 12:59:11  261.40KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
                        
# 2023-11-10 12:59:10  1.95GB 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-libraries-12-2=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-12-2=${NV_NVTX_VERSION}     libcusparse-12-2=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 12:59:10  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 12:59:10  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 12:59:10  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.19.3-1+cuda12.2
                        
# 2023-11-10 12:59:10  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.19.3-1
                        
# 2023-11-10 12:59:10  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.19.3-1
                        
# 2023-11-10 12:59:10  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2023-11-10 12:59:10  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-2=12.2.5.6-1
                        
# 2023-11-10 12:59:10  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.2.5.6-1
                        
# 2023-11-10 12:59:10  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-2
                        
# 2023-11-10 12:59:10  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.1.2.141-1
                        
# 2023-11-10 12:59:10  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-2=12.2.1.4-1
                        
# 2023-11-10 12:59:10  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.2.1.4-1
                        
# 2023-11-10 12:59:10  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.2.140-1
                        
# 2023-11-10 12:59:10  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.2.2-1
                        
# 2023-11-10 12:57:28  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2023-11-10 12:57:28  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-11-10 12:57:28  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2023-11-10 12:57:28  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2023-11-10 12:57:28  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
                        
# 2023-11-10 12:57:28  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
                        
# 2023-11-10 12:57:28  150.49MB 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-12-2=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 12:56:27  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.2.2
                        
# 2023-11-10 12:56:27  10.56MB 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 -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
                        
# 2023-11-10 12:56:27  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 12:56:27  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 12:56:27  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-2
                        
# 2023-11-10 12:56:27  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.2.140-1
                        
# 2023-11-10 12:56:27  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
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.2 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>=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
                        
# 2023-11-10 12:56:27  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2023-10-05 15:33:32  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2023-10-05 15:33:32  77.82MB 
/bin/sh -c #(nop) ADD file:63d5ab3ef0aab308c0e71cb67292c5467f60deafa9b0418cbb220affcd078444 in / 
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

{
    "Id": "sha256:f171be3438e2a93d20d6c080ad378a0a84786b1b7a470c93232362c72201d670",
    "RepoTags": [
        "ghcr.io/psalias2006/gpu-hot:latest",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/psalias2006/gpu-hot:latest"
    ],
    "RepoDigests": [
        "ghcr.io/psalias2006/gpu-hot@sha256:9404a9922f140ac79498a1cf9f631fdd07dbbb3b3cdf6d95e54c6f6c08b25bd3",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/psalias2006/gpu-hot@sha256:673a71ad1663412fc4fb616171ee2a7d56ca38c0fcdcd289b3f58ed4416b10b6"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-10-16T23:58:24.148524457Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "1312/tcp": {}
        },
        "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=x86_64",
            "NVIDIA_REQUIRE_CUDA=cuda\u003e=12.2 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=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=12.2.140-1",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-2",
            "CUDA_VERSION=12.2.2",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NV_CUDA_LIB_VERSION=12.2.2-1",
            "NV_NVTX_VERSION=12.2.140-1",
            "NV_LIBNPP_VERSION=12.2.1.4-1",
            "NV_LIBNPP_PACKAGE=libnpp-12-2=12.2.1.4-1",
            "NV_LIBCUSPARSE_VERSION=12.1.2.141-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-2",
            "NV_LIBCUBLAS_VERSION=12.2.5.6-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-12-2=12.2.5.6-1",
            "NV_LIBNCCL_PACKAGE_NAME=libnccl2",
            "NV_LIBNCCL_PACKAGE_VERSION=2.19.3-1",
            "NCCL_VERSION=2.19.3-1",
            "NV_LIBNCCL_PACKAGE=libnccl2=2.19.3-1+cuda12.2",
            "NVIDIA_PRODUCT_NAME=CUDA",
            "DEBIAN_FRONTEND=noninteractive",
            "PYTHONUNBUFFERED=1"
        ],
        "Cmd": [
            "python3",
            "app.py"
        ],
        "Healthcheck": {
            "Test": [
                "CMD-SHELL",
                "curl -f http://localhost:1312/api/gpu-data || exit 1"
            ],
            "Interval": 30000000000,
            "Timeout": 10000000000,
            "StartPeriod": 5000000000,
            "Retries": 3
        },
        "ArgsEscaped": true,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/app",
        "Entrypoint": [
            "/opt/nvidia/nvidia_entrypoint.sh"
        ],
        "OnBuild": null,
        "Labels": {
            "maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
            "org.opencontainers.image.created": "2025-10-16T23:58:39.983Z",
            "org.opencontainers.image.description": "🔥 Real-time NVIDIA GPU dashboard",
            "org.opencontainers.image.licenses": "MIT",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.revision": "034a7ce5a06ecededa8fda596844327b5d0f2e61",
            "org.opencontainers.image.source": "https://github.com/psalias2006/gpu-hot",
            "org.opencontainers.image.title": "gpu-hot",
            "org.opencontainers.image.url": "https://github.com/psalias2006/gpu-hot",
            "org.opencontainers.image.version": "1.5.0"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 2589433015,
    "GraphDriver": {
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}

更多版本

ghcr.io/psalias2006/gpu-hot:latest

linux/amd64 ghcr.io2.59GB2025-10-17 12:46
28