ghcr.io/morrowmake/vllm-cmp170hx:engine-819146023f - 镜像下载

ghcr.io/morrowmake/vllm-cmp170hx:engine-819146023f

linux/amd64 ghcr.io Wizie 贡献

浏览次数

22.86GB

镜像大小

国内镜像

swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/morrowmake/vllm-cmp170hx:engine-819146023f

源镜像

ghcr.io/morrowmake/vllm-cmp170hx:engine-819146023f

镜像ID

sha256:fc3e944584fdf52d64284b18a7f6b24a2e22cf009c72f2875a08ca7ca6c94d46

镜像 TAG

engine-819146023f

镜像大小

22.86GB

平台架构

linux/amd64

镜像源

ghcr.io

CMD

启动入口

/opt/venv/bin/vllm

工作目录

OS/平台

linux/amd64

镜像创建

2026-07-16T16:00:18.800599244Z

同步时间

2026-10-23 00:48

浏览量

17 次

贡献者

Wizie

🔌 开放端口 1

8000/tcp

⚙️ 环境变量 37

Key	Value
`CUDA_HOME=/usr/local/cuda`	`0`
`CUDA_VERSION=13.3.1`	`1`
`LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64`	`2`
`LIBRARY_PATH=/usr/local/cuda/lib64/stubs`	`3`
`NCCL_VERSION=2.30.7-1`	`4`
`NVARCH=x86_64`	`5`
`NVIDIA_DRIVER_CAPABILITIES=compute,utility`	`6`
`NVIDIA_PRODUCT_NAME=CUDA`	`7`
`NVIDIA_REQUIRE_CUDA=cuda>=13.0`	`8`
`NVIDIA_VISIBLE_DEVICES=all`	`9`
`NV_CUDA_CUDART_DEV_VERSION=13.3.29-1`	`10`
`NV_CUDA_CUDART_VERSION=13.3.29-1`	`11`
`NV_CUDA_LIB_VERSION=13.3.1-1`	`12`
`NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-13-3=13.3.1-1`	`13`
`NV_CUDA_NSIGHT_COMPUTE_VERSION=13.3.1-1`	`14`
`NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-13-3=13.6.0.2-1`	`15`
`NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-13-3`	`16`
`NV_LIBCUBLAS_DEV_VERSION=13.6.0.2-1`	`17`
`NV_LIBCUBLAS_PACKAGE=libcublas-13-3=13.6.0.2-1`	`18`
`NV_LIBCUBLAS_PACKAGE_NAME=libcublas-13-3`	`19`
`NV_LIBCUBLAS_VERSION=13.6.0.2-1`	`20`
`NV_LIBCUSPARSE_DEV_VERSION=12.8.2.51-1`	`21`
`NV_LIBCUSPARSE_VERSION=12.8.2.51-1`	`22`
`NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.30.7-1+cuda13.3`	`23`
`NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev`	`24`
`NV_LIBNCCL_DEV_PACKAGE_VERSION=2.30.7-1`	`25`
`NV_LIBNCCL_PACKAGE=libnccl2=2.30.7-1+cuda13.3`	`26`
`NV_LIBNCCL_PACKAGE_NAME=libnccl2`	`27`
`NV_LIBNCCL_PACKAGE_VERSION=2.30.7-1`	`28`
`NV_LIBNPP_DEV_PACKAGE=libnpp-dev-13-3=13.1.2.81-1`	`29`
`NV_LIBNPP_DEV_VERSION=13.1.2.81-1`	`30`
`NV_LIBNPP_PACKAGE=libnpp-13-3=13.1.2.81-1`	`31`
`NV_LIBNPP_VERSION=13.1.2.81-1`	`32`
`NV_NVML_DEV_VERSION=13.3.29-1`	`33`
`NV_NVTX_VERSION=13.3.29-1`	`34`
`PATH=/opt/venv/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin`	`35`
`VIRTUAL_ENV=/opt/venv`	`36`

🏷️ 镜像标签 8

Key	Value
`NVIDIA CORPORATION <cudatools@nvidia.com>`	`maintainer`
`sha256:4ff859525f99de5782aa73607ce24219b07dddd48d12b97c1c301d7e1cfb0a87`	`org.opencontainers.image.base.digest`
`docker.io/nvidia/cuda:13.3.1-devel-ubuntu24.04`	`org.opencontainers.image.base.name`
`Apache-2.0`	`org.opencontainers.image.licenses`
`819146023facb31c04f1f8512e52464835a10d40`	`org.opencontainers.image.revision`
`https://github.com/Morrowmake/vllm-cmp170hx`	`org.opencontainers.image.source`
`vllm-cmp170hx`	`org.opencontainers.image.title`
`engine-819146023f`	`org.opencontainers.image.version`

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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/morrowmake/vllm-cmp170hx:engine-819146023f
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/morrowmake/vllm-cmp170hx:engine-819146023f  ghcr.io/morrowmake/vllm-cmp170hx:engine-819146023f

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/morrowmake/vllm-cmp170hx:engine-819146023f
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/morrowmake/vllm-cmp170hx:engine-819146023f  ghcr.io/morrowmake/vllm-cmp170hx:engine-819146023f

Shell快速替换命令

sed -i 's#ghcr.io/morrowmake/vllm-cmp170hx:engine-819146023f#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/morrowmake/vllm-cmp170hx:engine-819146023f#' 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/morrowmake/vllm-cmp170hx:engine-819146023f && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/morrowmake/vllm-cmp170hx:engine-819146023f  ghcr.io/morrowmake/vllm-cmp170hx:engine-819146023f'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/morrowmake/vllm-cmp170hx:engine-819146023f && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/morrowmake/vllm-cmp170hx:engine-819146023f  ghcr.io/morrowmake/vllm-cmp170hx:engine-819146023f'

镜像构建历史


# 2026-09-26 08:00:00  253.56MB 执行命令并创建新的镜像层
runtime engine
                        
# 2026-09-26 08:00:00  661.14MB 执行命令并创建新的镜像层
runtime native
                        
# 2026-09-26 08:00:00  14.05GB 执行命令并创建新的镜像层
runtime dependencies
                        
# 2026-09-26 08:00:00  98.06MB 执行命令并创建新的镜像层
runtime python
                        
# 2026-07-17 00:00:18  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2026-07-17 00:00:18  397.57KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
                        
# 2026-07-17 00:00:18  62.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c NSYS_PATH=$(find /opt/nvidia/nsight-compute -type f -name "nsys" 2>/dev/null | head -n 1);     if [ -n "$NSYS_PATH" ] && [ ! -f /usr/local/bin/nsys ]; then         ln -s "$NSYS_PATH" /usr/local/bin/nsys;     fi # buildkit
                        
# 2026-07-17 00:00:18  5.12GB 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-dev-13-3=${NV_CUDA_CUDART_DEV_VERSION}     cuda-command-line-tools-13-3=${NV_CUDA_LIB_VERSION}     cuda-minimal-build-13-3=${NV_CUDA_LIB_VERSION}     cuda-libraries-dev-13-3=${NV_CUDA_LIB_VERSION}     cuda-nvml-dev-13-3=${NV_NVML_DEV_VERSION}     ${NV_LIBNPP_DEV_PACKAGE}     libcusparse-dev-13-3=${NV_LIBCUSPARSE_DEV_VERSION}     ${NV_LIBCUBLAS_DEV_PACKAGE}     ${NV_LIBNCCL_DEV_PACKAGE}     ${NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-07-17 00:00:18  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2026-07-17 00:00:18  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2026-07-17 00:00:18  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.30.7-1+cuda13.3
                        
# 2026-07-17 00:00:18  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.30.7-1
                        
# 2026-07-17 00:00:18  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.30.7-1
                        
# 2026-07-17 00:00:18  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
                        
# 2026-07-17 00:00:18  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-13-3=13.3.1-1
                        
# 2026-07-17 00:00:18  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=13.3.1-1
                        
# 2026-07-17 00:00:18  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-13-3=13.6.0.2-1
                        
# 2026-07-17 00:00:18  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-13-3
                        
# 2026-07-17 00:00:18  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=13.6.0.2-1
                        
# 2026-07-17 00:00:18  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-13-3=13.1.2.81-1
                        
# 2026-07-17 00:00:18  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=13.1.2.81-1
                        
# 2026-07-17 00:00:18  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.8.2.51-1
                        
# 2026-07-17 00:00:18  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=13.3.29-1
                        
# 2026-07-17 00:00:18  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=13.3.29-1
                        
# 2026-07-17 00:00:18  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=13.3.1-1
                        
# 2026-07-16 23:54:37  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2026-07-16 23:54:37  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2026-07-16 23:54:37  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2026-07-16 23:54:37  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2026-07-16 23:54:37  242.53KB 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
                        
# 2026-07-16 23:54:37  2.09GB 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-13-3=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-13-3=${NV_NVTX_VERSION}     libcusparse-13-3=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-07-16 23:54:37  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2026-07-16 23:54:37  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2026-07-16 23:54:37  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.30.7-1+cuda13.3
                        
# 2026-07-16 23:54:37  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.30.7-1
                        
# 2026-07-16 23:54:37  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.30.7-1
                        
# 2026-07-16 23:54:37  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2026-07-16 23:54:37  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-13-3=13.6.0.2-1
                        
# 2026-07-16 23:54:37  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=13.6.0.2-1
                        
# 2026-07-16 23:54:37  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-13-3
                        
# 2026-07-16 23:54:37  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.8.2.51-1
                        
# 2026-07-16 23:54:37  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-13-3=13.1.2.81-1
                        
# 2026-07-16 23:54:37  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=13.1.2.81-1
                        
# 2026-07-16 23:54:37  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=13.3.29-1
                        
# 2026-07-16 23:54:37  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=13.3.1-1
                        
# 2026-07-16 23:48:27  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2026-07-16 23:48:27  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2026-07-16 23:48:27  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2026-07-16 23:48:27  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64
                        
# 2026-07-16 23:48:27  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
                        
# 2026-07-16 23:48:27  22.00B 执行命令并创建新的镜像层
RUN |2 TARGETARCH=amd64 IMAGE_UPGRADE_ID=20260716 /bin/sh -c echo "/usr/local/cuda/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
                        
# 2026-07-16 23:48:26  0.00B 执行命令并创建新的镜像层
RUN |2 TARGETARCH=amd64 IMAGE_UPGRADE_ID=20260716 /bin/sh -c apt-get update &&     if apt-cache policy cuda-compat-orin-13-3 2>/dev/null | grep -q "Candidate:"; then         apt-get install -y --no-install-recommends cuda-compat-orin-13-3;     fi &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-07-16 23:48:21  477.10MB 执行命令并创建新的镜像层
RUN |2 TARGETARCH=amd64 IMAGE_UPGRADE_ID=20260716 /bin/sh -c apt-get update &&     if apt-cache policy cuda-compat-13-3 2>/dev/null | grep -q "Candidate:"; then         apt-get install -y --no-install-recommends cuda-compat-13-3;     fi &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-07-16 23:48:11  1.56MB 执行命令并创建新的镜像层
RUN |2 TARGETARCH=amd64 IMAGE_UPGRADE_ID=20260716 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-cudart-13-3=${NV_CUDA_CUDART_VERSION}     cuda-toolkit-13-3-config-common=${NV_CUDA_CUDART_VERSION}     cuda-toolkit-13-config-common=${NV_CUDA_CUDART_VERSION}     cuda-toolkit-config-common=${NV_CUDA_CUDART_VERSION}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-07-16 23:48:04  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=13.3.1
                        
# 2026-07-16 23:48:04  19.58MB 执行命令并创建新的镜像层
RUN |2 TARGETARCH=amd64 IMAGE_UPGRADE_ID=20260716 /bin/sh -c echo "IMAGE_UPGRADE_ID=${IMAGE_UPGRADE_ID}" &&     apt-get update && apt-get upgrade -y && apt-get install -y --no-install-recommends     gnupg2 curl ca-certificates &&     curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/${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
                        
# 2026-07-16 23:48:04  0.00B 定义构建参数
ARG IMAGE_UPGRADE_ID=0
                        
# 2026-07-16 23:48:04  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2026-07-16 23:48:04  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2026-07-16 23:48:04  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=13.3.29-1
                        
# 2026-07-16 23:48:04  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>=13.3 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>=570,driver<571 brand=grid,driver>=570,driver<571 brand=tesla,driver>=570,driver<571 brand=nvidia,driver>=570,driver<571 brand=quadro,driver>=570,driver<571 brand=quadrortx,driver>=570,driver<571 brand=nvidiartx,driver>=570,driver<571 brand=vapps,driver>=570,driver<571 brand=vpc,driver>=570,driver<571 brand=vcs,driver>=570,driver<571 brand=vws,driver>=570,driver<571 brand=cloudgaming,driver>=570,driver<571 brand=unknown,driver>=580,driver<581 brand=grid,driver>=580,driver<581 brand=tesla,driver>=580,driver<581 brand=nvidia,driver>=580,driver<581 brand=quadro,driver>=580,driver<581 brand=quadrortx,driver>=580,driver<581 brand=nvidiartx,driver>=580,driver<581 brand=vapps,driver>=580,driver<581 brand=vpc,driver>=580,driver<581 brand=vcs,driver>=580,driver<581 brand=vws,driver>=580,driver<581 brand=cloudgaming,driver>=580,driver<581 brand=unknown,driver>=590,driver<591 brand=grid,driver>=590,driver<591 brand=tesla,driver>=590,driver<591 brand=nvidia,driver>=590,driver<591 brand=quadro,driver>=590,driver<591 brand=quadrortx,driver>=590,driver<591 brand=nvidiartx,driver>=590,driver<591 brand=vapps,driver>=590,driver<591 brand=vpc,driver>=590,driver<591 brand=vcs,driver>=590,driver<591 brand=vws,driver>=590,driver<591 brand=cloudgaming,driver>=590,driver<591 brand=unknown,driver>=595,driver<596 brand=grid,driver>=595,driver<596 brand=tesla,driver>=595,driver<596 brand=nvidia,driver>=595,driver<596 brand=quadro,driver>=595,driver<596 brand=quadrortx,driver>=595,driver<596 brand=nvidiartx,driver>=595,driver<596 brand=vapps,driver>=595,driver<596 brand=vpc,driver>=595,driver<596 brand=vcs,driver>=595,driver<596 brand=vws,driver>=595,driver<596 brand=cloudgaming,driver>=595,driver<596
                        
# 2026-07-16 23:48:04  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2026-06-23 05:24:21  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2026-06-23 05:24:20  78.14MB 
/bin/sh -c #(nop) ADD file:8c609c85109d07bf47cf268a175b3be8bbe34fc0c41d15d99b090d099f4dc837 in / 
                        
# 2026-06-23 05:24:18  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=24.04
                        
# 2026-06-23 05:24:18  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2026-06-23 05:24:17  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息

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        "ExposedPorts": {
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}

更多版本

ghcr.io/morrowmake/vllm-cmp170hx:engine-819146023f

linux/amd64 ghcr.io22.86GB2026-10-23 00:48

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