docker.io/gpustack/gpustack:main-cuda12.8 linux/amd64

docker.io/gpustack/gpustack:main-cuda12.8 - 国内下载镜像源浏览次数:13

这是一个名为 docker.io/gpustack/gpustack 的 Docker 容器镜像。该镜像的具体描述信息需要参考其官方文档或仓库页面才能获得。没有更多信息可以提供。

源镜像	docker.io/gpustack/gpustack:main-cuda12.8
国内镜像	swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gpustack/gpustack:main-cuda12.8
镜像ID	sha256:191bccfe4f8cd515f713f8c1dee776694a3753fa02934bb57c79f148c1521f39
镜像TAG	main-cuda12.8
大小	20.66GB
镜像源	docker.io
项目信息	Docker-Hub主页 🚀项目TAG 🚀
CMD
启动入口	tini -- gpustack start
工作目录
OS/平台	linux/amd64
浏览量	13 次
贡献者
镜像创建	2025-07-28T06:32:38.47666013Z
同步时间	2025-07-29 04:36
更新时间	2025-07-29 21:14

环境变量

PATH=/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin NVARCH=x86_64 NVIDIA_REQUIRE_CUDA=cuda>=12.8 brand=unknown,driver>=470,driver<471 brand=grid,driver>=470,driver<471 brand=tesla,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=vapps,driver>=470,driver<471 brand=vpc,driver>=470,driver<471 brand=vcs,driver>=470,driver<471 brand=vws,driver>=470,driver<471 brand=cloudgaming,driver>=470,driver<471 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=550,driver<551 brand=grid,driver>=550,driver<551 brand=tesla,driver>=550,driver<551 brand=nvidia,driver>=550,driver<551 brand=quadro,driver>=550,driver<551 brand=quadrortx,driver>=550,driver<551 brand=nvidiartx,driver>=550,driver<551 brand=vapps,driver>=550,driver<551 brand=vpc,driver>=550,driver<551 brand=vcs,driver>=550,driver<551 brand=vws,driver>=550,driver<551 brand=cloudgaming,driver>=550,driver<551 brand=unknown,driver>=560,driver<561 brand=grid,driver>=560,driver<561 brand=tesla,driver>=560,driver<561 brand=nvidia,driver>=560,driver<561 brand=quadro,driver>=560,driver<561 brand=quadrortx,driver>=560,driver<561 brand=nvidiartx,driver>=560,driver<561 brand=vapps,driver>=560,driver<561 brand=vpc,driver>=560,driver<561 brand=vcs,driver>=560,driver<561 brand=vws,driver>=560,driver<561 brand=cloudgaming,driver>=560,driver<561 brand=unknown,driver>=565,driver<566 brand=grid,driver>=565,driver<566 brand=tesla,driver>=565,driver<566 brand=nvidia,driver>=565,driver<566 brand=quadro,driver>=565,driver<566 brand=quadrortx,driver>=565,driver<566 brand=nvidiartx,driver>=565,driver<566 brand=vapps,driver>=565,driver<566 brand=vpc,driver>=565,driver<566 brand=vcs,driver>=565,driver<566 brand=vws,driver>=565,driver<566 brand=cloudgaming,driver>=565,driver<566 NV_CUDA_CUDART_VERSION=12.8.90-1 CUDA_VERSION=12.8.1 LD_LIBRARY_PATH=/usr/local/cuda/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=12.8.1-1 NV_NVTX_VERSION=12.8.90-1 NV_LIBNPP_VERSION=12.3.3.100-1 NV_LIBNPP_PACKAGE=libnpp-12-8=12.3.3.100-1 NV_LIBCUSPARSE_VERSION=12.5.8.93-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-8 NV_LIBCUBLAS_VERSION=12.8.4.1-1 NV_LIBCUBLAS_PACKAGE=libcublas-12-8=12.8.4.1-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.25.1-1 NCCL_VERSION=2.25.1-1 NV_LIBNCCL_PACKAGE=libnccl2=2.25.1-1+cuda12.8 NVIDIA_PRODUCT_NAME=CUDA NV_CUDNN_VERSION=9.8.0.87-1 NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-12 NV_CUDNN_PACKAGE=libcudnn9-cuda-12=9.8.0.87-1 DEBIAN_FRONTEND=noninteractive LANG=en_US.UTF-8 LANGUAGE=en_US:en LC_ALL=en_US.UTF-8 PYTHON_VERSION=3.11 PIPX_LOCAL_VENVS=/root/.local/share/pipx/venvs CUDA_DEVEL_VERSION=12.8.1 TORCH_VERSION=2.7.0

镜像标签

9.8.0.87-1: com.nvidia.cudnn.version NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer 2025-07-28T06:26:33.654Z: org.opencontainers.image.created Simple, scalable AI model deployment on GPU clusters: org.opencontainers.image.description Apache-2.0: org.opencontainers.image.licenses ubuntu: org.opencontainers.image.ref.name be05857963c6f7797c92b375ee6e061857703f15: org.opencontainers.image.revision https://github.com/gpustack/gpustack: org.opencontainers.image.source gpustack: org.opencontainers.image.title https://github.com/gpustack/gpustack: org.opencontainers.image.url main-cuda12.8: org.opencontainers.image.version

阿里云高校计划(￥300代金券)领取

阿里云2核2G高性能云服务器 99元/年❤️

华为云2核4G2M云服务器，惊爆价99元1年

腾讯云2核2G云服务器，惊爆价99元1年

Ucloud 2核2G4M 59元/年❤️ 香港专线400G流量/月服务器 93元/年❤️

硅基流动注册送2000万 Tokens！

GPT人工智能60G学习资料❤️

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/gpustack/gpustack:main-cuda12.8
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gpustack/gpustack:main-cuda12.8  docker.io/gpustack/gpustack:main-cuda12.8

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gpustack/gpustack:main-cuda12.8
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gpustack/gpustack:main-cuda12.8  docker.io/gpustack/gpustack:main-cuda12.8

Shell快速替换命令

sed -i 's#gpustack/gpustack:main-cuda12.8#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gpustack/gpustack:main-cuda12.8#' 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/gpustack/gpustack:main-cuda12.8 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gpustack/gpustack:main-cuda12.8  docker.io/gpustack/gpustack:main-cuda12.8'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gpustack/gpustack:main-cuda12.8 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gpustack/gpustack:main-cuda12.8  docker.io/gpustack/gpustack:main-cuda12.8'

镜像构建历史


# 2025-07-28 14:32:38  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["tini" "--" "gpustack" "start"]
                        
# 2025-07-28 14:32:38  1.34GB 执行命令并创建新的镜像层
RUN |7 TARGETPLATFORM=linux/amd64 TARGETOS=linux TARGETARCH=amd64 PYTHON_VERSION=3.11 CUDA_VERSION=12.8.1 CUDA_DEVEL_VERSION=12.8.1 TORCH_VERSION=2.7.0 /bin/bash -eo pipefail -c     # Vox-Box

    # Get version of Vox-Box from GPUStack
    VERSION=$(pip freeze | grep vox_box== | head -n 1 | cut -d'=' -f3)

    # Install dependencies
    apt-get install -y --no-install-recommends \
        ffmpeg

    # Pre process
    # - Create virtual environment to place vox-box
    python -m venv --system-site-packages ${PIPX_LOCAL_VENVS}/vox-box
    # - Prepare environment
    source ${PIPX_LOCAL_VENVS}/vox-box/bin/activate

    # Reinstall Vox-Box,
    # as we create a virtual environment which inherits system site packages,
    # so we need to reinstall Vox-Box to ensure it is installed in the virtual environment.
    # We also lock the transformers version here to fix https://github.com/gpustack/gpustack/pull/2473.
    cat <<EOT >/tmp/requirements.txt
transformers==4.51.3
triton==3.3.1
vox-box==${VERSION}
EOT
    pip install --disable-pip-version-check --no-cache-dir --root-user-action ignore --force-reinstall --no-dependencies -r /tmp/requirements.txt \
        && ln -vsf ${PIPX_LOCAL_VENVS}/vox-box/bin/vox-box /usr/local/bin/vox-box

    # Download tools
    # - Download dac weights used by audio models like Dia.
    python -m dac download

    # Post process
    deactivate

    # Review
    pipx runpip vox-box freeze

    # Cleanup
    rm -rf /var/tmp/* \
        && rm -rf /tmp/* \
        && rm -rf /var/cache/apt \
        && pip cache purge
 # buildkit
                        
# 2025-07-28 14:31:56  6.30GB 执行命令并创建新的镜像层
RUN |7 TARGETPLATFORM=linux/amd64 TARGETOS=linux TARGETARCH=amd64 PYTHON_VERSION=3.11 CUDA_VERSION=12.8.1 CUDA_DEVEL_VERSION=12.8.1 TORCH_VERSION=2.7.0 /bin/bash -eo pipefail -c     # GPUStack

    # Build GPUStack
    cd /workspace/gpustack \
        && git config --global --add safe.directory /workspace/gpustack \
        && make build

    # Install GPUStack.
    # FIXME: There is no linux/arm64 vLLM prebuilt wheel,
    #        so we only install the all wheel for linux/amd64.
    if [ "${TARGETARCH}" == "amd64" ]; then
        WHEEL_PACKAGE="$(ls /workspace/gpustack/dist/*.whl)[all]";
    else
        WHEEL_PACKAGE="$(ls /workspace/gpustack/dist/*.whl)[audio]";
    fi
    pip install --disable-pip-version-check --no-cache-dir --root-user-action ignore ${WHEEL_PACKAGE}

    # Download tools
    gpustack download-tools --device cuda

    # Set up environment
    mkdir -p /var/lib/gpustack \
        && chmod -R 0755 /var/lib/gpustack

    # Review
    pip freeze

    # Cleanup
    rm -rf /var/tmp/* \
        && rm -rf /tmp/* \
        && rm -rf /var/cache/apt \
        && rm -rf /workspace/gpustack/dist \
        && pip cache purge
 # buildkit
                        
# 2025-07-24 19:58:22  7.86GB 执行命令并创建新的镜像层
RUN |7 TARGETPLATFORM=linux/amd64 TARGETOS=linux TARGETARCH=amd64 PYTHON_VERSION=3.11 CUDA_VERSION=12.8.1 CUDA_DEVEL_VERSION=12.8.1 TORCH_VERSION=2.7.0 /bin/bash -eo pipefail -c     # FlashInfer

    if [[ "${TARGETARCH}" == "arm64" ]]; then
        echo "Skipping FlashInfer installation for ${TARGETARCH}..."
        exit 0
    fi

    # Prepare
    IFS="." read -r CUDA_MAJOR CUDA_MINOR CUDA_PATCH <<< "${CUDA_DEVEL_VERSION}"

    # Install dependencies,
    # extract https://github.com/flashinfer-ai/flashinfer/blob/main/scripts/run-ci-build-wheel.sh.
    cat <<EOT >/tmp/requirements.txt
torch==${TORCH_VERSION}+cu${CUDA_MAJOR}${CUDA_MINOR}
torchaudio
torchvision
numpy
EOT
    pip install --disable-pip-version-check --no-cache-dir --root-user-action ignore -r /tmp/requirements.txt --index-url https://download.pytorch.org/whl/cu${CUDA_MAJOR}${CUDA_MINOR}

    # Install
    pip install --disable-pip-version-check --no-cache-dir --root-user-action ignore /workspace/flashinfer/dist/*.whl

    # Review
    pip freeze

    # Cleanup
    rm -rf /var/tmp/* \
        && rm -rf /tmp/* \
        && rm -rf /var/cache/apt \
        && pip cache purge
 # buildkit
                        
# 2025-07-23 19:05:36  0.00B 设置环境变量 CUDA_VERSION CUDA_DEVEL_VERSION TORCH_VERSION
ENV CUDA_VERSION=12.8.1 CUDA_DEVEL_VERSION=12.8.1 TORCH_VERSION=2.7.0
                        
# 2025-07-23 19:05:36  0.00B 定义构建参数
ARG TORCH_VERSION=2.7.0
                        
# 2025-07-23 19:05:36  0.00B 定义构建参数
ARG CUDA_DEVEL_VERSION=12.8.1
                        
# 2025-07-23 19:05:36  0.00B 定义构建参数
ARG CUDA_VERSION=12.8.1
                        
# 2025-07-23 19:05:36  0.00B 定义构建参数
ARG TARGETARCH=amd64
                        
# 2025-07-23 19:05:36  0.00B 定义构建参数
ARG TARGETOS=linux
                        
# 2025-07-23 19:05:36  0.00B 定义构建参数
ARG TARGETPLATFORM=linux/amd64
                        
# 2025-07-23 19:05:36  0.00B 设置环境变量 PIPX_LOCAL_VENVS
ENV PIPX_LOCAL_VENVS=/root/.local/share/pipx/venvs
                        
# 2025-07-23 19:05:36  126.45MB 执行命令并创建新的镜像层
RUN |4 TARGETPLATFORM=linux/amd64 TARGETOS=linux TARGETARCH=amd64 PYTHON_VERSION=3.11 /bin/bash -eo pipefail -c     # Python

    # Add deadsnakes PPA for Python versions
    for i in 1 2 3; do
        add-apt-repository -y ppa:deadsnakes/ppa && break || { echo "Attempt $i failed, retrying in 5s..."; sleep 5; }
    done
    apt-get update -y

    # Install
    apt-get install -y --no-install-recommends \
        python${PYTHON_VERSION} \
        python${PYTHON_VERSION}-dev \
        python${PYTHON_VERSION}-venv \
        python${PYTHON_VERSION}-distutils \
        python${PYTHON_VERSION}-lib2to3 \
        python${PYTHON_VERSION}-gdbm \
        python${PYTHON_VERSION}-tk \
        libibverbs-dev

    # Update alternatives
    if [ -f /etc/alternatives/python3 ]; then update-alternatives --remove-all python3; fi; update-alternatives --install /usr/bin/python3 python3 /usr/bin/python${PYTHON_VERSION} 1
    if [ -f /etc/alternatives/python ]; then update-alternatives --remove-all python; fi; update-alternatives --install /usr/bin/python python /usr/bin/python${PYTHON_VERSION} 1
    curl -sS "https://bootstrap.pypa.io/get-pip.py" | python${PYTHON_VERSION}
    if [ -f /etc/alternatives/2to3 ]; then update-alternatives --remove-all 2to3; fi; update-alternatives --install /usr/bin/2to3 2to3 /usr/bin/2to3${PYTHON_VERSION} 1 || true
    if [ -f /etc/alternatives/pydoc3 ]; then update-alternatives --remove-all pydoc3; fi; update-alternatives --install /usr/bin/pydoc3 pydoc3 /usr/bin/pydoc${PYTHON_VERSION} 1 || true
    if [ -f /etc/alternatives/idle3 ]; then update-alternatives --remove-all idle3; fi; update-alternatives --install /usr/bin/idle3 idle3 /usr/bin/idle${PYTHON_VERSION} 1 || true
    if [ -f /etc/alternatives/python3-config ]; then update-alternatives --remove-all python3-config; fi; update-alternatives --install /usr/bin/python3-config python3-config /usr/bin/python${PYTHON_VERSION}-config 1 || true

    # Install packages
    cat <<EOT >/tmp/requirements.txt
setuptools==80.7.1
pipx==1.7.1
EOT
    pip install --disable-pip-version-check --no-cache-dir --root-user-action ignore -r /tmp/requirements.txt

    # Cleanup
    rm -rf /var/tmp/* \
        && rm -rf /tmp/* \
        && rm -rf /var/cache/apt
 # buildkit
                        
# 2025-07-23 19:04:50  0.00B 设置环境变量 PYTHON_VERSION
ENV PYTHON_VERSION=3.11
                        
# 2025-07-23 19:04:50  0.00B 定义构建参数
ARG PYTHON_VERSION=3.11
                        
# 2025-07-23 19:04:50  0.00B 设置环境变量 LANG LANGUAGE LC_ALL
ENV LANG=en_US.UTF-8 LANGUAGE=en_US:en LC_ALL=en_US.UTF-8
                        
# 2025-07-23 19:04:50  583.82MB 执行命令并创建新的镜像层
RUN |3 TARGETPLATFORM=linux/amd64 TARGETOS=linux TARGETARCH=amd64 /bin/bash -eo pipefail -c     # Tools

    # Refresh
    apt-get update -y && apt-get install -y --no-install-recommends \
        software-properties-common apt-transport-https \
        ca-certificates gnupg2 lsb-release gnupg-agent \
      && apt-get update -y \
      && add-apt-repository -y ppa:ubuntu-toolchain-r/test \
      && apt-get update -y

    # Install
    apt-get install -y --no-install-recommends \
        ca-certificates build-essential binutils bash openssl \
        curl wget aria2 \
        git git-lfs \
        unzip xz-utils \
        tzdata locales \
        iproute2 iputils-ping ifstat net-tools dnsutils pciutils ipmitool \
        procps sysstat htop \
        tini vim jq bc tree

    # Update locale
    localedef -i en_US -c -f UTF-8 -A /usr/share/locale/locale.alias en_US.UTF-8

    # Cleanup
    rm -rf /var/tmp/* \
        && rm -rf /tmp/* \
        && rm -rf /var/cache/apt
 # buildkit
                        
# 2025-07-23 19:04:50  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2025-07-23 19:04:50  0.00B 定义构建参数
ARG TARGETARCH=amd64
                        
# 2025-07-23 19:04:50  0.00B 定义构建参数
ARG TARGETOS=linux
                        
# 2025-07-23 19:04:50  0.00B 定义构建参数
ARG TARGETPLATFORM=linux/amd64
                        
# 2025-07-23 19:04:50  0.00B 
SHELL [/bin/bash -eo pipefail -c]
                        
# 2025-03-11 07:07:53  1.05GB 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     ${NV_CUDNN_PACKAGE}     && apt-mark hold ${NV_CUDNN_PACKAGE_NAME}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-03-11 07:07:53  0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=9.8.0.87-1
                        
# 2025-03-11 07:07:53  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-03-11 07:07:53  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-03-11 07:07:53  0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn9-cuda-12=9.8.0.87-1
                        
# 2025-03-11 07:07:53  0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-12
                        
# 2025-03-11 07:07:53  0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=9.8.0.87-1
                        
# 2025-03-11 06:24:31  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2025-03-11 06:24:31  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2025-03-11 06:24:31  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2025-03-11 06:24:31  263.00KB 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
                        
# 2025-03-11 06:24:31  3.11GB 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-12-8=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-12-8=${NV_NVTX_VERSION}     libcusparse-12-8=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-03-11 06:24:31  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-03-11 06:24:31  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.25.1-1+cuda12.8
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.25.1-1
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.25.1-1
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-8=12.8.4.1-1
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.8.4.1-1
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-8
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.5.8.93-1
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-8=12.3.3.100-1
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.3.3.100-1
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.8.90-1
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.8.1-1
                        
# 2025-03-11 06:19:20  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2025-03-11 06:19:20  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2025-03-11 06:19:20  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2025-03-11 06:19:20  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64
                        
# 2025-03-11 06:19:20  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-03-11 06:19:20  22.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/cuda/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
                        
# 2025-03-11 06:19:20  203.35MB 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-12-8=${NV_CUDA_CUDART_VERSION}     cuda-compat-12-8     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-03-11 06:19:05  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.8.1
                        
# 2025-03-11 06:19:05  10.60MB 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     gnupg2 curl ca-certificates &&     curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${NVARCH}/cuda-keyring_1.1-1_all.deb &&     dpkg -i cuda-keyring_1.1-1_all.deb &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-03-11 06:19:05  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-03-11 06:19:05  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-03-11 06:19:05  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.8.90-1
                        
# 2025-03-11 06:19:05  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 brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.8 brand=unknown,driver>=470,driver<471 brand=grid,driver>=470,driver<471 brand=tesla,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=vapps,driver>=470,driver<471 brand=vpc,driver>=470,driver<471 brand=vcs,driver>=470,driver<471 brand=vws,driver>=470,driver<471 brand=cloudgaming,driver>=470,driver<471 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=550,driver<551 brand=grid,driver>=550,driver<551 brand=tesla,driver>=550,driver<551 brand=nvidia,driver>=550,driver<551 brand=quadro,driver>=550,driver<551 brand=quadrortx,driver>=550,driver<551 brand=nvidiartx,driver>=550,driver<551 brand=vapps,driver>=550,driver<551 brand=vpc,driver>=550,driver<551 brand=vcs,driver>=550,driver<551 brand=vws,driver>=550,driver<551 brand=cloudgaming,driver>=550,driver<551 brand=unknown,driver>=560,driver<561 brand=grid,driver>=560,driver<561 brand=tesla,driver>=560,driver<561 brand=nvidia,driver>=560,driver<561 brand=quadro,driver>=560,driver<561 brand=quadrortx,driver>=560,driver<561 brand=nvidiartx,driver>=560,driver<561 brand=vapps,driver>=560,driver<561 brand=vpc,driver>=560,driver<561 brand=vcs,driver>=560,driver<561 brand=vws,driver>=560,driver<561 brand=cloudgaming,driver>=560,driver<561 brand=unknown,driver>=565,driver<566 brand=grid,driver>=565,driver<566 brand=tesla,driver>=565,driver<566 brand=nvidia,driver>=565,driver<566 brand=quadro,driver>=565,driver<566 brand=quadrortx,driver>=565,driver<566 brand=nvidiartx,driver>=565,driver<566 brand=vapps,driver>=565,driver<566 brand=vpc,driver>=565,driver<566 brand=vcs,driver>=565,driver<566 brand=vws,driver>=565,driver<566 brand=cloudgaming,driver>=565,driver<566
                        
# 2025-03-11 06:19:05  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2025-01-26 13:31:11  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-01-26 13:31:10  77.86MB 
/bin/sh -c #(nop) ADD file:1b6c8c9518be42fa2afe5e241ca31677fce58d27cdfa88baa91a65a259be3637 in / 
                        
# 2025-01-26 13:31:07  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2025-01-26 13:31:07  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2025-01-26 13:31:07  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2025-01-26 13:31:07  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息

{
    "Id": "sha256:191bccfe4f8cd515f713f8c1dee776694a3753fa02934bb57c79f148c1521f39",
    "RepoTags": [
        "gpustack/gpustack:main-cuda12.8",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gpustack/gpustack:main-cuda12.8"
    ],
    "RepoDigests": [
        "gpustack/gpustack@sha256:5a67911aa02c7d12c8c8dc8f43e88ee1a826072854b98a3c498cd4c8b93b4e4b",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gpustack/gpustack@sha256:348792318f06bc7f50921fe5d4f42a9a68fdf32fd686d8eba6619d8998b92094"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-07-28T06:32:38.47666013Z",
    "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/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "NVARCH=x86_64",
            "NVIDIA_REQUIRE_CUDA=cuda\u003e=12.8 brand=unknown,driver\u003e=470,driver\u003c471 brand=grid,driver\u003e=470,driver\u003c471 brand=tesla,driver\u003e=470,driver\u003c471 brand=nvidia,driver\u003e=470,driver\u003c471 brand=quadro,driver\u003e=470,driver\u003c471 brand=quadrortx,driver\u003e=470,driver\u003c471 brand=nvidiartx,driver\u003e=470,driver\u003c471 brand=vapps,driver\u003e=470,driver\u003c471 brand=vpc,driver\u003e=470,driver\u003c471 brand=vcs,driver\u003e=470,driver\u003c471 brand=vws,driver\u003e=470,driver\u003c471 brand=cloudgaming,driver\u003e=470,driver\u003c471 brand=unknown,driver\u003e=535,driver\u003c536 brand=grid,driver\u003e=535,driver\u003c536 brand=tesla,driver\u003e=535,driver\u003c536 brand=nvidia,driver\u003e=535,driver\u003c536 brand=quadro,driver\u003e=535,driver\u003c536 brand=quadrortx,driver\u003e=535,driver\u003c536 brand=nvidiartx,driver\u003e=535,driver\u003c536 brand=vapps,driver\u003e=535,driver\u003c536 brand=vpc,driver\u003e=535,driver\u003c536 brand=vcs,driver\u003e=535,driver\u003c536 brand=vws,driver\u003e=535,driver\u003c536 brand=cloudgaming,driver\u003e=535,driver\u003c536 brand=unknown,driver\u003e=550,driver\u003c551 brand=grid,driver\u003e=550,driver\u003c551 brand=tesla,driver\u003e=550,driver\u003c551 brand=nvidia,driver\u003e=550,driver\u003c551 brand=quadro,driver\u003e=550,driver\u003c551 brand=quadrortx,driver\u003e=550,driver\u003c551 brand=nvidiartx,driver\u003e=550,driver\u003c551 brand=vapps,driver\u003e=550,driver\u003c551 brand=vpc,driver\u003e=550,driver\u003c551 brand=vcs,driver\u003e=550,driver\u003c551 brand=vws,driver\u003e=550,driver\u003c551 brand=cloudgaming,driver\u003e=550,driver\u003c551 brand=unknown,driver\u003e=560,driver\u003c561 brand=grid,driver\u003e=560,driver\u003c561 brand=tesla,driver\u003e=560,driver\u003c561 brand=nvidia,driver\u003e=560,driver\u003c561 brand=quadro,driver\u003e=560,driver\u003c561 brand=quadrortx,driver\u003e=560,driver\u003c561 brand=nvidiartx,driver\u003e=560,driver\u003c561 brand=vapps,driver\u003e=560,driver\u003c561 brand=vpc,driver\u003e=560,driver\u003c561 brand=vcs,driver\u003e=560,driver\u003c561 brand=vws,driver\u003e=560,driver\u003c561 brand=cloudgaming,driver\u003e=560,driver\u003c561 brand=unknown,driver\u003e=565,driver\u003c566 brand=grid,driver\u003e=565,driver\u003c566 brand=tesla,driver\u003e=565,driver\u003c566 brand=nvidia,driver\u003e=565,driver\u003c566 brand=quadro,driver\u003e=565,driver\u003c566 brand=quadrortx,driver\u003e=565,driver\u003c566 brand=nvidiartx,driver\u003e=565,driver\u003c566 brand=vapps,driver\u003e=565,driver\u003c566 brand=vpc,driver\u003e=565,driver\u003c566 brand=vcs,driver\u003e=565,driver\u003c566 brand=vws,driver\u003e=565,driver\u003c566 brand=cloudgaming,driver\u003e=565,driver\u003c566",
            "NV_CUDA_CUDART_VERSION=12.8.90-1",
            "CUDA_VERSION=12.8.1",
            "LD_LIBRARY_PATH=/usr/local/cuda/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NV_CUDA_LIB_VERSION=12.8.1-1",
            "NV_NVTX_VERSION=12.8.90-1",
            "NV_LIBNPP_VERSION=12.3.3.100-1",
            "NV_LIBNPP_PACKAGE=libnpp-12-8=12.3.3.100-1",
            "NV_LIBCUSPARSE_VERSION=12.5.8.93-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-8",
            "NV_LIBCUBLAS_VERSION=12.8.4.1-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-12-8=12.8.4.1-1",
            "NV_LIBNCCL_PACKAGE_NAME=libnccl2",
            "NV_LIBNCCL_PACKAGE_VERSION=2.25.1-1",
            "NCCL_VERSION=2.25.1-1",
            "NV_LIBNCCL_PACKAGE=libnccl2=2.25.1-1+cuda12.8",
            "NVIDIA_PRODUCT_NAME=CUDA",
            "NV_CUDNN_VERSION=9.8.0.87-1",
            "NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-12",
            "NV_CUDNN_PACKAGE=libcudnn9-cuda-12=9.8.0.87-1",
            "DEBIAN_FRONTEND=noninteractive",
            "LANG=en_US.UTF-8",
            "LANGUAGE=en_US:en",
            "LC_ALL=en_US.UTF-8",
            "PYTHON_VERSION=3.11",
            "PIPX_LOCAL_VENVS=/root/.local/share/pipx/venvs",
            "CUDA_DEVEL_VERSION=12.8.1",
            "TORCH_VERSION=2.7.0"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "",
        "Entrypoint": [
            "tini",
            "--",
            "gpustack",
            "start"
        ],
        "OnBuild": null,
        "Labels": {
            "com.nvidia.cudnn.version": "9.8.0.87-1",
            "maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
            "org.opencontainers.image.created": "2025-07-28T06:26:33.654Z",
            "org.opencontainers.image.description": "Simple, scalable AI model deployment on GPU clusters",
            "org.opencontainers.image.licenses": "Apache-2.0",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.revision": "be05857963c6f7797c92b375ee6e061857703f15",
            "org.opencontainers.image.source": "https://github.com/gpustack/gpustack",
            "org.opencontainers.image.title": "gpustack",
            "org.opencontainers.image.url": "https://github.com/gpustack/gpustack",
            "org.opencontainers.image.version": "main-cuda12.8"
        },
        "Shell": [
            "/bin/bash",
            "-eo",
            "pipefail",
            "-c"
        ]
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 20659632834,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/91fe6ad5eb4370db27d41b789748fe8a3a4afa42b5d145bb45291b6465d47d99/diff:/var/lib/docker/overlay2/24804ec782c1a7f662ef5ba90f4cc151ca73a9559363ee8aea6141bb112c8169/diff:/var/lib/docker/overlay2/934d97f1058577616eecfdf4c75e366de6bca6f4bf666e5add9643d7e65046d3/diff:/var/lib/docker/overlay2/305f400d16e45e60256731414c62067ee5721cc837bfa25de22f09d43dd19751/diff:/var/lib/docker/overlay2/c638194b6e2ef41d6001f7ab188f7e6e04f9e81d3664befb06cb88cde0c28899/diff:/var/lib/docker/overlay2/a8fecfd45ffa2d317cd53f303acbe078fb5840d1351c9c5a0cd5165144c03f37/diff:/var/lib/docker/overlay2/dcfb2677f8c3c60e8d3d4116d7a64f9f79bf3ede86b307908f1bdf0c0920ba2f/diff:/var/lib/docker/overlay2/7864d310b225f01a31a99e18302601a0bc6f51fb3c4b0914b63b76b6252da21d/diff:/var/lib/docker/overlay2/4fddecfccd19f5fdf75ba15e7c4e6c8df7dcfaa198e9f8705f88c16b98a7812c/diff:/var/lib/docker/overlay2/5b97962622e01b450bce6252497eb1e0a972edf39075683db153b0db41189605/diff:/var/lib/docker/overlay2/eb03b2be6a63ac4902985c612376c782b122f9eef3af69073f2e0c1306ea181f/diff:/var/lib/docker/overlay2/151168d6b5dc33e684376ad8ace0efabf8bc3a418742fcf99a432ed77de99c57/diff:/var/lib/docker/overlay2/8793691dc2f4982c739e7d9c16e15c32e0a493d0d87e97763ca89ea9ddd33b8d/diff:/var/lib/docker/overlay2/ace3f972cf88bd330727fa9a25fd0df2c3fec1df161ac9102bf9f5739b40b82c/diff",
            "MergedDir": "/var/lib/docker/overlay2/c9f1054675843a19c3da45719d5110b455dfbf9199e1e1dffb86d4c5f82dca1e/merged",
            "UpperDir": "/var/lib/docker/overlay2/c9f1054675843a19c3da45719d5110b455dfbf9199e1e1dffb86d4c5f82dca1e/diff",
            "WorkDir": "/var/lib/docker/overlay2/c9f1054675843a19c3da45719d5110b455dfbf9199e1e1dffb86d4c5f82dca1e/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:270a1170e7e398434ff1b31e17e233f7d7b71aa99a40473615860068e86720af",
            "sha256:fb456a9e7760e7e4481d3d9eddee3ef62358753326d669c3efe6b0cc254ab9c3",
            "sha256:981a144d9fa2efffdbdfbdcfd3881dccb4fbf07867d4fa326a386126ca11b50f",
            "sha256:583f1d6040fc90a1380cb4d11d46b78bbbd4ad7d6274b9656ab9832ef7ba6342",
            "sha256:6020d84069cf575521faca653d2817e2195b8233b8c4e2d7bc65f3296296c2bb",
            "sha256:eb0143fcce68bd06a29bf314125d30f2a1f44d606fc419e7a54ab602bc26b2d0",
            "sha256:cb395f276e984728ca05fdee4e1dc203e1310a9e943a2d16d7aa87e5b2cf754b",
            "sha256:70a158f70e3777a129c15ffe51399bb6c226218c08ff6819948b9b1f26a46277",
            "sha256:9bb0510c7b4b74b056648f24e0a55c26f7521a1a1b766250a0776e14ce9d93f6",
            "sha256:3301a038c8ffa31fd0e48f49c5ca5fe3da1de345379f4ee7a50e4d07ef4dcf13",
            "sha256:b8adf3361f98f86b6d90d8da402e2033e3c4200e3cff669836fd84ebbdaf8d3b",
            "sha256:55c5493d1fb9fd10249aa7d2a1ea2a78d2b48fa8a2a7d1591f8a56d389b8e4a1",
            "sha256:1be69d50535bfee2a889d9e571a9957f6bda11da26887409b74658be266e7764",
            "sha256:ef1a4954c6fcf667fdd16557f15dc9fb1ab9ad4a76d9bb94b85f1e5384b5c483",
            "sha256:1d694837027abc8be449064b1791bce41b4fd7e79b4837ce7fa6a4a0a4568491"
        ]
    },
    "Metadata": {
        "LastTagTime": "2025-07-29T04:20:04.444760834+08:00"
    }
}

更多版本

docker.io/gpustack/gpustack:latest

linux/amd64 docker.io13.39GB2024-12-17 02:56