docker.io/gpustack/gpustack:v0.6-dev linux/arm64

docker.io/gpustack/gpustack:v0.6-dev - 国内下载镜像源浏览次数:7 温馨提示: 这是一个 linux/arm64 系统架构镜像

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:v0.6-dev
国内镜像	swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gpustack/gpustack:v0.6-dev-linuxarm64
镜像ID	sha256:7afe94c05df969fb9917f2ce2360dd4888ba191b4f1c6ca3641466c106b8e0aa
镜像TAG	v0.6-dev-linuxarm64
大小	8.64GB
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/arm64
浏览量	7 次
贡献者
镜像创建	2025-06-06T04:09:18.685593358Z
同步时间	2025-06-06 15:24
更新时间	2025-06-06 22:53

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=sbsa NVIDIA_REQUIRE_CUDA=cuda>=12.4 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 brand=tesla,driver>=535,driver<536 brand=unknown,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=geforce,driver>=535,driver<536 brand=geforcertx,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=titan,driver>=535,driver<536 brand=titanrtx,driver>=535,driver<536 NV_CUDA_CUDART_VERSION=12.4.127-1 CUDA_VERSION=12.4.1 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=12.4.1-1 NV_NVTX_VERSION=12.4.127-1 NV_LIBNPP_VERSION=12.2.5.30-1 NV_LIBNPP_PACKAGE=libnpp-12-4=12.2.5.30-1 NV_LIBCUSPARSE_VERSION=12.3.1.170-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-4 NV_LIBCUBLAS_VERSION=12.4.5.8-1 NV_LIBCUBLAS_PACKAGE=libcublas-12-4=12.4.5.8-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.21.5-1 NCCL_VERSION=2.21.5-1 NV_LIBNCCL_PACKAGE=libnccl2=2.21.5-1+cuda12.4 NVIDIA_PRODUCT_NAME=CUDA NV_CUDNN_VERSION=9.1.0.70-1 NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-12 NV_CUDNN_PACKAGE=libcudnn9-cuda-12=9.1.0.70-1 DEBIAN_FRONTEND=noninteractive

镜像标签

9.1.0.70-1: com.nvidia.cudnn.version NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer 2025-06-06T03:30:41.153Z: org.opencontainers.image.created Manage GPU clusters for running AI models: org.opencontainers.image.description Apache-2.0: org.opencontainers.image.licenses ubuntu: org.opencontainers.image.ref.name 78d71882fa46297f4b16bd2976ef6c640824e0b6: 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 v0.6-dev: org.opencontainers.image.version

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无权限下载?点我修复生成Docker Run命令

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gpustack/gpustack:v0.6-dev-linuxarm64
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gpustack/gpustack:v0.6-dev-linuxarm64  docker.io/gpustack/gpustack:v0.6-dev

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gpustack/gpustack:v0.6-dev-linuxarm64
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gpustack/gpustack:v0.6-dev-linuxarm64  docker.io/gpustack/gpustack:v0.6-dev

Shell快速替换命令

sed -i 's#gpustack/gpustack:v0.6-dev#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gpustack/gpustack:v0.6-dev-linuxarm64#' 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:v0.6-dev-linuxarm64 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gpustack/gpustack:v0.6-dev-linuxarm64  docker.io/gpustack/gpustack:v0.6-dev'

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:v0.6-dev-linuxarm64 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gpustack/gpustack:v0.6-dev-linuxarm64  docker.io/gpustack/gpustack:v0.6-dev'

镜像构建历史


# 2025-06-06 12:09:18  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["tini" "--" "gpustack" "start"]
                        
# 2025-06-06 12:09:18  306.72MB 执行命令并创建新的镜像层
RUN |2 TARGETPLATFORM=linux/arm64 VLLM_VERSION=0.8.5.post1 /bin/sh -c python3 -m dac download # buildkit
                        
# 2025-06-06 12:08:27  635.21MB 执行命令并创建新的镜像层
RUN |2 TARGETPLATFORM=linux/arm64 VLLM_VERSION=0.8.5.post1 /bin/sh -c gpustack download-tools # buildkit
                        
# 2025-06-06 12:06:51  2.11GB 执行命令并创建新的镜像层
RUN |2 TARGETPLATFORM=linux/arm64 VLLM_VERSION=0.8.5.post1 /bin/sh -c     if [ "$TARGETPLATFORM" = "linux/amd64" ]; then
        # Install vllm dependencies for x86_64
        WHEEL_PACKAGE="$(ls /workspace/gpustack/dist/*.whl)[all]";
    else
        WHEEL_PACKAGE="$(ls /workspace/gpustack/dist/*.whl)[audio]";
    fi
    pip install pipx
    pip install $WHEEL_PACKAGE
    pip cache purge
    rm -rf /workspace/gpustack
 # buildkit
                        
# 2025-06-06 11:43:33  0.00B 定义构建参数
ARG VLLM_VERSION=0.8.5.post1
                        
# 2025-06-06 11:43:33  2.01GB 执行命令并创建新的镜像层
RUN |1 TARGETPLATFORM=linux/arm64 /bin/sh -c cd /workspace/gpustack &&     make build # buildkit
                        
# 2025-06-06 11:31:38  102.24MB 复制新文件或目录到容器中
COPY . /workspace/gpustack # buildkit
                        
# 2025-04-28 18:48:56  371.69MB 执行命令并创建新的镜像层
RUN |1 TARGETPLATFORM=linux/arm64 /bin/sh -c apt-get update && apt-get install -y     git     curl     wget     tzdata     iproute2     python3     python3-pip     python3-venv     tini     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-04-28 18:48:56  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2025-04-28 18:48:56  0.00B 定义构建参数
ARG TARGETPLATFORM=linux/arm64
                        
# 2024-04-23 08:08:48  1.01GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=arm64 /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
                        
# 2024-04-23 08:08:48  0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=9.1.0.70-1
                        
# 2024-04-23 08:08:48  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-04-23 08:08:48  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-04-23 08:08:48  0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn9-cuda-12=9.1.0.70-1
                        
# 2024-04-23 08:08:48  0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-12
                        
# 2024-04-23 08:08:48  0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=9.1.0.70-1
                        
# 2024-04-23 07:49:35  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2024-04-23 07:49:35  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2024-04-23 07:49:35  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2024-04-23 07:49:35  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2024-04-23 07:49:35  261.41KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=arm64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
                        
# 2024-04-23 07:49:34  2.02GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=arm64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-libraries-12-4=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-12-4=${NV_NVTX_VERSION}     libcusparse-12-4=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-04-23 07:49:34  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-04-23 07:49:34  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-04-23 07:49:34  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.21.5-1+cuda12.4
                        
# 2024-04-23 07:49:34  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.21.5-1
                        
# 2024-04-23 07:49:34  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.21.5-1
                        
# 2024-04-23 07:49:34  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2024-04-23 07:49:34  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-4=12.4.5.8-1
                        
# 2024-04-23 07:49:34  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.4.5.8-1
                        
# 2024-04-23 07:49:34  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-4
                        
# 2024-04-23 07:49:34  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.3.1.170-1
                        
# 2024-04-23 07:49:34  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-4=12.2.5.30-1
                        
# 2024-04-23 07:49:34  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.2.5.30-1
                        
# 2024-04-23 07:49:34  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.4.127-1
                        
# 2024-04-23 07:49:34  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.4.1-1
                        
# 2024-04-23 07:45:01  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2024-04-23 07:45:01  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2024-04-23 07:45:01  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2024-04-23 07:45:01  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2024-04-23 07:45:01  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
                        
# 2024-04-23 07:45:01  46.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=arm64 /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
                        
# 2024-04-23 07:45:01  1.47MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=arm64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-cudart-12-4=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-04-23 07:44:24  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.4.1
                        
# 2024-04-23 07:44:24  10.21MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=arm64 /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
                        
# 2024-04-23 07:44:24  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-04-23 07:44:24  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-04-23 07:44:24  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.4.127-1
                        
# 2024-04-23 07:44:24  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
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.4 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 brand=tesla,driver>=535,driver<536 brand=unknown,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=geforce,driver>=535,driver<536 brand=geforcertx,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=titan,driver>=535,driver<536 brand=titanrtx,driver>=535,driver<536
                        
# 2024-04-23 07:44:24  0.00B 设置环境变量 NVARCH
ENV NVARCH=sbsa
                        
# 2024-04-11 02:26:17  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2024-04-11 02:26:17  69.22MB 
/bin/sh -c #(nop) ADD file:5523c8e2dfa5286893a32b66bdb3395b76e282d86d79b7320a5855e8f55481e1 in / 
                        
# 2024-04-11 02:26:15  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2024-04-11 02:26:15  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2024-04-11 02:26:15  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2024-04-11 02:26:15  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息

{
    "Id": "sha256:7afe94c05df969fb9917f2ce2360dd4888ba191b4f1c6ca3641466c106b8e0aa",
    "RepoTags": [
        "gpustack/gpustack:v0.6-dev",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gpustack/gpustack:v0.6-dev-linuxarm64"
    ],
    "RepoDigests": [
        "gpustack/gpustack@sha256:3830b38bcba1d347faec6bc190cc796d6b802cb71e3814dc03cbb42a38ca07a7",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gpustack/gpustack@sha256:8858872915964fe124f3867f27fe1da79027bbecf7443bf48206def9416808d5"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-06-06T04:09:18.685593358Z",
    "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/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "NVARCH=sbsa",
            "NVIDIA_REQUIRE_CUDA=cuda\u003e=12.4 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 brand=tesla,driver\u003e=535,driver\u003c536 brand=unknown,driver\u003e=535,driver\u003c536 brand=nvidia,driver\u003e=535,driver\u003c536 brand=nvidiartx,driver\u003e=535,driver\u003c536 brand=geforce,driver\u003e=535,driver\u003c536 brand=geforcertx,driver\u003e=535,driver\u003c536 brand=quadro,driver\u003e=535,driver\u003c536 brand=quadrortx,driver\u003e=535,driver\u003c536 brand=titan,driver\u003e=535,driver\u003c536 brand=titanrtx,driver\u003e=535,driver\u003c536",
            "NV_CUDA_CUDART_VERSION=12.4.127-1",
            "CUDA_VERSION=12.4.1",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NV_CUDA_LIB_VERSION=12.4.1-1",
            "NV_NVTX_VERSION=12.4.127-1",
            "NV_LIBNPP_VERSION=12.2.5.30-1",
            "NV_LIBNPP_PACKAGE=libnpp-12-4=12.2.5.30-1",
            "NV_LIBCUSPARSE_VERSION=12.3.1.170-1",
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更多版本

docker.io/gpustack/gpustack:latest

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