ghcr.io/chenyb999-zhcn/1cat-vllm:latest - 镜像下载

ℹ️

注意：这是一个 latest 标签镜像

latest 并不代表最新版本，本站同步时间存在延迟，无法保证此镜像与上游最新版本一致。
生产环境建议使用明确的版本号（如 v1.2.3），避免因版本不一致导致问题。了解更多 →

ghcr.io/chenyb999-zhcn/1cat-vllm:latest

linux/amd64 ghcr.io

该镜像基于vLLM构建，用于快速部署大语言模型推理服务，支持高效的token生成，具备低延迟、高吞吐量的特性，适用于需要大规模语言模型推理的场景。

浏览次数

14.80GB

镜像大小

国内镜像

swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/chenyb999-zhcn/1cat-vllm:latest

源镜像

ghcr.io/chenyb999-zhcn/1cat-vllm:latest

镜像ID

sha256:d60843606711c3d6f31c5ce6744c9ca26c329d4b16637e04972bbef3b0458cec

镜像 TAG

latest

镜像大小

14.80GB

平台架构

linux/amd64

镜像源

ghcr.io

CMD

启动入口

/opt/nvidia/nvidia_entrypoint.sh

工作目录

OS/平台

linux/amd64

镜像创建

2026-09-08T10:12:04.816754263+08:00

同步时间

2026-09-13 00:17

浏览量

26 次

贡献者

⚙️ 环境变量 24

Key	Value
`PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin`	`0`
`NVARCH=x86_64`	`1`
NVIDIA_REQUIRE_CUDA=cuda>=12.6 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	`2`
`NV_CUDA_CUDART_VERSION=12.6.77-1`	`3`
`CUDA_VERSION=12.6.3`	`4`
`LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64`	`5`
`NVIDIA_VISIBLE_DEVICES=all`	`6`
`NVIDIA_DRIVER_CAPABILITIES=compute,utility`	`7`
`NV_CUDA_LIB_VERSION=12.6.3-1`	`8`
`NV_NVTX_VERSION=12.6.77-1`	`9`
`NV_LIBNPP_VERSION=12.3.1.54-1`	`10`
`NV_LIBNPP_PACKAGE=libnpp-12-6=12.3.1.54-1`	`11`
`NV_LIBCUSPARSE_VERSION=12.5.4.2-1`	`12`
`NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-6`	`13`
`NV_LIBCUBLAS_VERSION=12.6.4.1-1`	`14`
`NV_LIBCUBLAS_PACKAGE=libcublas-12-6=12.6.4.1-1`	`15`
`NV_LIBNCCL_PACKAGE_NAME=libnccl2`	`16`
`NV_LIBNCCL_PACKAGE_VERSION=2.23.4-1`	`17`
`NCCL_VERSION=2.23.4-1`	`18`
`NV_LIBNCCL_PACKAGE=libnccl2=2.23.4-1+cuda12.6`	`19`
`NVIDIA_PRODUCT_NAME=CUDA`	`20`
`NV_CUDNN_VERSION=9.5.1.17-1`	`21`
`NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-12`	`22`
`NV_CUDNN_PACKAGE=libcudnn9-cuda-12=9.5.1.17-1`	`23`

🏷️ 镜像标签 4

Key	Value
`9.5.1.17-1`	`com.nvidia.cudnn.version`
`NVIDIA CORPORATION <cudatools@nvidia.com>`	`maintainer`
`ubuntu`	`org.opencontainers.image.ref.name`
`24.04`	`org.opencontainers.image.version`

🛡️ 镜像安全扫描

ubuntu 24.04 Trivy 2026-09-13 00:19 查看完整报告

低危 LOW

248

中危 MEDIUM

高危 HIGH

严重 CRITICAL

受影响目标 (2)

ghcr.io/chenyb999-zhcn/1cat-vllm:latest (ubuntu 24.04) ubuntu Python python-pkg

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无权限下载？点我修复生成 Docker Run 命令生成 Kubernetes YAML

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/chenyb999-zhcn/1cat-vllm:latest
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/chenyb999-zhcn/1cat-vllm:latest  ghcr.io/chenyb999-zhcn/1cat-vllm:latest

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/chenyb999-zhcn/1cat-vllm:latest
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/chenyb999-zhcn/1cat-vllm:latest  ghcr.io/chenyb999-zhcn/1cat-vllm:latest

Shell快速替换命令

sed -i 's#ghcr.io/chenyb999-zhcn/1cat-vllm:latest#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/chenyb999-zhcn/1cat-vllm: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/chenyb999-zhcn/1cat-vllm:latest && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/chenyb999-zhcn/1cat-vllm:latest  ghcr.io/chenyb999-zhcn/1cat-vllm: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/chenyb999-zhcn/1cat-vllm:latest && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/chenyb999-zhcn/1cat-vllm:latest  ghcr.io/chenyb999-zhcn/1cat-vllm:latest'

镜像构建历史


# 2026-09-08 10:12:04  237.91MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update &&     apt-get install -y --no-install-recommends         libgl1 libglib2.0-0 libsm6 libxext6 libxrender1 &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-09-08 10:11:26  11.10GB 执行命令并创建新的镜像层
RUN /bin/sh -c pip3 install --break-system-packages --no-cache-dir /tmp/1cat_vllm-1.5.0-cp312-cp312-linux_x86_64.whl  -i https://pypi.tuna.tsinghua.edu.cn/simple/ # buildkit
                        
# 2026-09-08 09:43:08  147.98MB 复制新文件或目录到容器中
COPY 1cat_vllm-1.5.0-cp312-cp312-linux_x86_64.whl /tmp/ # buildkit
                        
# 2026-09-08 09:43:07  29.00B 执行命令并创建新的镜像层
RUN /bin/sh -c ln -sf /usr/bin/python3 /usr/bin/python &&     ln -sf /usr/bin/pip3 /usr/bin/pip # buildkit
                        
# 2026-09-08 09:43:07  59.01MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update &&     apt-get install -y --no-install-recommends python3 python3-pip python3-venv &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-11-23 02:53:18  867.78MB 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
                        
# 2024-11-23 02:53:18  0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=9.5.1.17-1
                        
# 2024-11-23 02:53:18  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-11-23 02:53:18  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-11-23 02:53:18  0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn9-cuda-12=9.5.1.17-1
                        
# 2024-11-23 02:53:18  0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-12
                        
# 2024-11-23 02:53:18  0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=9.5.1.17-1
                        
# 2024-11-23 02:30:19  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2024-11-23 02:30:19  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2024-11-23 02:30:19  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2024-11-23 02:30:19  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2024-11-23 02:30:19  239.11KB 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
                        
# 2024-11-23 02:30:18  2.14GB 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-12-6=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-12-6=${NV_NVTX_VERSION}     libcusparse-12-6=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-11-23 02:30:18  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-11-23 02:30:18  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.23.4-1+cuda12.6
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.23.4-1
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.23.4-1
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-6=12.6.4.1-1
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.6.4.1-1
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-6
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.5.4.2-1
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-6=12.3.1.54-1
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.3.1.54-1
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.6.77-1
                        
# 2024-11-23 02:30:18  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.6.3-1
                        
# 2024-11-23 02:20:34  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2024-11-23 02:20:34  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2024-11-23 02:20:34  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2024-11-23 02:20:34  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2024-11-23 02:20:34  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
                        
# 2024-11-23 02:20:34  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
                        
# 2024-11-23 02:20:34  161.80MB 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-12-6=${NV_CUDA_CUDART_VERSION}     cuda-compat-12-6     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-11-23 02:20:23  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.6.3
                        
# 2024-11-23 02:20:23  10.24MB 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/ubuntu2404/${NVARCH}/3bf863cc.pub | apt-key add - &&     echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-11-23 02:20:23  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-11-23 02:20:23  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-11-23 02:20:23  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.6.77-1
                        
# 2024-11-23 02:20:23  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
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.6 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
                        
# 2024-11-23 02:20:23  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2024-10-16 17:25:57  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2024-10-16 17:25:57  78.12MB 
/bin/sh -c #(nop) ADD file:a3272496fda5a8d021b94dccaa6baa685ded51e9d23edb05f0b30978a83c9fc2 in / 
                        
# 2024-10-16 17:25:55  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=24.04
                        
# 2024-10-16 17:25:54  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2024-10-16 17:25:54  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2024-10-16 17:25:54  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息

{
    "Id": "sha256:d60843606711c3d6f31c5ce6744c9ca26c329d4b16637e04972bbef3b0458cec",
    "RepoTags": [
        "ghcr.io/chenyb999-zhcn/1cat-vllm:latest",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/chenyb999-zhcn/1cat-vllm:latest"
    ],
    "RepoDigests": [
        "ghcr.io/chenyb999-zhcn/1cat-vllm@sha256:b896f951b1fed82cbb0631254de115fb2fa7a8719bf28c2d54b5f75ac3707f3f",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/chenyb999-zhcn/1cat-vllm@sha256:60a8c3b80c35aecaf63a7227cf1eb73bdfaac4cb36599bec332b4c8a45474a7b"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2026-09-08T10:12:04.816754263+08:00",
    "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=x86_64",
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}

更多版本

ghcr.io/chenyb999-zhcn/1cat-vllm:latest

linux/amd64 ghcr.io14.80GB2026-09-13 00:17

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