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注意:这是一个 latest 标签镜像

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ghcr.io/spark-arena/dgx-vllm-eugr-nightly:latest linux/arm64

ghcr.io/spark-arena/dgx-vllm-eugr-nightly:latest - 国内下载镜像源 浏览次数:13 xy3666 贡献同步 温馨提示: 这是一个 linux/arm64 系统架构镜像

这是一个托管在GitHub Container Registry上的Docker镜像,适用于NVIDIA DGX平台,集成vllm框架以提供高效的大语言模型推理与服务能力,属于nightly开发版本,包含最新的功能与改进。

源镜像 ghcr.io/spark-arena/dgx-vllm-eugr-nightly:latest
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/spark-arena/dgx-vllm-eugr-nightly:latest-linuxarm64
镜像ID sha256:e21f076364271a42023916a90b7c191e4157d148e58b288059aaa2580ed2f8e7
镜像TAG latest-linuxarm64
大小 18.97GB
镜像源 ghcr.io
CMD
启动入口 /opt/nvidia/nvidia_entrypoint.sh
工作目录 /workspace/vllm
OS/平台 linux/arm64
浏览量 13 次
贡献者
avatar
xy3666
镜像创建 2026-05-30T01:50:36.434361417Z
同步时间 2026-06-05 19:15
环境变量
PATH=/workspace/vllm:/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>=13.2 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 NV_CUDA_CUDART_VERSION=13.2.51-1 CUDA_VERSION=13.2.0 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=13.2.0-1 NV_NVTX_VERSION=13.2.20-1 NV_LIBNPP_VERSION=13.1.0.44-1 NV_LIBNPP_PACKAGE=libnpp-13-2=13.1.0.44-1 NV_LIBCUSPARSE_VERSION=12.7.9.17-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-13-2 NV_LIBCUBLAS_VERSION=13.3.0.5-1 NV_LIBCUBLAS_PACKAGE=libcublas-13-2=13.3.0.5-1 NVIDIA_PRODUCT_NAME=CUDA NV_CUDA_CUDART_DEV_VERSION=13.2.51-1 NV_NVML_DEV_VERSION=13.2.51-1 NV_LIBCUSPARSE_DEV_VERSION=12.7.9.17-1 NV_LIBNPP_DEV_VERSION=13.1.0.44-1 NV_LIBNPP_DEV_PACKAGE=libnpp-dev-13-2=13.1.0.44-1 NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-13-2 NV_LIBCUBLAS_DEV_VERSION=13.3.0.5-1 NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-13-2=13.3.0.5-1 NV_CUDA_NSIGHT_COMPUTE_VERSION=13.2.0-1 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-13-2=13.2.0-1 LIBRARY_PATH=/usr/local/cuda/lib64/stubs DEBIAN_FRONTEND=noninteractive PIP_BREAK_SYSTEM_PACKAGES=1 VLLM_BASE_DIR=/workspace/vllm PIP_CACHE_DIR=/root/.cache/pip UV_CACHE_DIR=/root/.cache/uv UV_SYSTEM_PYTHON=1 UV_BREAK_SYSTEM_PACKAGES=1 UV_LINK_MODE=copy TORCH_CUDA_ARCH_LIST=12.1a FLASHINFER_CUDA_ARCH_LIST=12.1a TRITON_PTXAS_PATH=/usr/local/cuda/bin/ptxas TIKTOKEN_ENCODINGS_BASE=/workspace/vllm/tiktoken_encodings
镜像标签
: dev.sparkrun.build-flags b6040ed2: dev.sparkrun.flashinfer-hash 08c34dd8262e5b429a8cbf36bcf15507628c2999: dev.sparkrun.repo-commit 5dbf1605a: dev.sparkrun.vllm-hash NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer ubuntu: org.opencontainers.image.ref.name 24.04: org.opencontainers.image.version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/spark-arena/dgx-vllm-eugr-nightly:latest-linuxarm64
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/spark-arena/dgx-vllm-eugr-nightly:latest-linuxarm64  ghcr.io/spark-arena/dgx-vllm-eugr-nightly:latest

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/spark-arena/dgx-vllm-eugr-nightly:latest-linuxarm64
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/spark-arena/dgx-vllm-eugr-nightly:latest-linuxarm64  ghcr.io/spark-arena/dgx-vllm-eugr-nightly:latest

Shell快速替换命令

sed -i 's#ghcr.io/spark-arena/dgx-vllm-eugr-nightly:latest#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/spark-arena/dgx-vllm-eugr-nightly:latest-linuxarm64#' 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/spark-arena/dgx-vllm-eugr-nightly:latest-linuxarm64 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/spark-arena/dgx-vllm-eugr-nightly:latest-linuxarm64  ghcr.io/spark-arena/dgx-vllm-eugr-nightly: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/spark-arena/dgx-vllm-eugr-nightly:latest-linuxarm64 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/spark-arena/dgx-vllm-eugr-nightly:latest-linuxarm64  ghcr.io/spark-arena/dgx-vllm-eugr-nightly:latest'

镜像构建历史


# 2026-05-30 09:50:36  0.00B 设置环境变量 TORCH_CUDA_ARCH_LIST FLASHINFER_CUDA_ARCH_LIST TRITON_PTXAS_PATH TIKTOKEN_ENCODINGS_BASE PATH
ENV TORCH_CUDA_ARCH_LIST=12.1a FLASHINFER_CUDA_ARCH_LIST=12.1a TRITON_PTXAS_PATH=/usr/local/cuda/bin/ptxas TIKTOKEN_ENCODINGS_BASE=/workspace/vllm/tiktoken_encodings PATH=/workspace/vllm:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2026-05-30 09:50:36  0.00B 定义构建参数
ARG TORCH_CUDA_ARCH_LIST=12.1a
                        
# 2026-05-30 09:50:36  0.00B 添加元数据标签
LABEL dev.sparkrun.repo-commit=08c34dd8262e5b429a8cbf36bcf15507628c2999 dev.sparkrun.vllm-hash=5dbf1605a dev.sparkrun.flashinfer-hash=b6040ed2 dev.sparkrun.build-flags=
                        
# 2026-05-30 09:50:36  0.00B 定义构建参数
ARG SPARKRUN_BUILD_FLAGS=
                        
# 2026-05-30 09:50:36  0.00B 定义构建参数
ARG SPARKRUN_FLASHINFER_HASH=b6040ed2
                        
# 2026-05-30 09:50:36  0.00B 定义构建参数
ARG SPARKRUN_VLLM_HASH=5dbf1605a
                        
# 2026-05-30 09:50:36  0.00B 定义构建参数
ARG SPARKRUN_REPO_COMMIT=08c34dd8262e5b429a8cbf36bcf15507628c2999
                        
# 2026-05-30 09:50:36  5.30MB 复制新文件或目录到容器中
COPY /workspace/ /workspace/ # buildkit
                        
# 2026-05-30 09:50:36  79.40MB 复制新文件或目录到容器中
COPY /usr/local/bin/ /usr/local/bin/ # buildkit
                        
# 2026-05-30 09:50:35  43.96MB 复制新文件或目录到容器中
COPY --parents /usr/local/lib/python3.12/dist-packages/transformers* / # buildkit
                        
# 2026-05-30 09:50:31  2.57GB 复制新文件或目录到容器中
COPY /usr/local/lib/python3.12/dist-packages-4/ /usr/local/lib/python3.12/dist-packages/ # buildkit
                        
# 2026-05-30 09:50:09  2.57GB 复制新文件或目录到容器中
COPY /usr/local/lib/python3.12/dist-packages-3/ /usr/local/lib/python3.12/dist-packages/ # buildkit
                        
# 2026-05-30 09:49:46  2.57GB 复制新文件或目录到容器中
COPY /usr/local/lib/python3.12/dist-packages-2/ /usr/local/lib/python3.12/dist-packages/ # buildkit
                        
# 2026-05-30 09:49:22  2.57GB 复制新文件或目录到容器中
COPY /usr/local/lib/python3.12/dist-packages-1/ /usr/local/lib/python3.12/dist-packages/ # buildkit
                        
# 2026-05-30 09:48:18  0.00B 设置工作目录为/workspace/vllm
WORKDIR /workspace/vllm
                        
# 2026-05-30 09:48:17  1.89GB 执行命令并创建新的镜像层
RUN /bin/sh -c apt update &&     apt install -y --no-install-recommends     python3     python3-pip     python3-dev     vim     curl     git     wget     libcudnn9-cuda-13     libnccl-dev     libnccl2     libibverbs1     libibverbs-dev     rdma-core     libxcb1     && rm -rf /var/lib/apt/lists/* &&     pip install uv && (pip uninstall -y flash-attn || true) # buildkit
                        
# 2026-05-30 09:48:17  0.00B 设置环境变量 DEBIAN_FRONTEND PIP_BREAK_SYSTEM_PACKAGES VLLM_BASE_DIR PIP_CACHE_DIR UV_CACHE_DIR UV_SYSTEM_PYTHON UV_BREAK_SYSTEM_PACKAGES UV_LINK_MODE
ENV DEBIAN_FRONTEND=noninteractive PIP_BREAK_SYSTEM_PACKAGES=1 VLLM_BASE_DIR=/workspace/vllm PIP_CACHE_DIR=/root/.cache/pip UV_CACHE_DIR=/root/.cache/uv UV_SYSTEM_PYTHON=1 UV_BREAK_SYSTEM_PACKAGES=1 UV_LINK_MODE=copy
                        
# 2026-03-10 06:59:40  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2026-03-10 06:59:40  394.64KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=arm64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} # buildkit
                        
# 2026-03-10 06:59:39  0.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=arm64 /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
                        
# 2026-03-10 06:59:38  3.77GB 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-dev-13-2=${NV_CUDA_CUDART_DEV_VERSION}     cuda-command-line-tools-13-2=${NV_CUDA_LIB_VERSION}     cuda-minimal-build-13-2=${NV_CUDA_LIB_VERSION}     cuda-libraries-dev-13-2=${NV_CUDA_LIB_VERSION}     cuda-nvml-dev-13-2=${NV_NVML_DEV_VERSION}     ${NV_LIBNPP_DEV_PACKAGE}     libcusparse-dev-13-2=${NV_LIBCUSPARSE_DEV_VERSION}     ${NV_LIBCUBLAS_DEV_PACKAGE}     ${NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-03-10 06:59:38  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2026-03-10 06:59:38  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2026-03-10 06:59:38  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-13-2=13.2.0-1
                        
# 2026-03-10 06:59:38  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=13.2.0-1
                        
# 2026-03-10 06:59:38  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-13-2=13.3.0.5-1
                        
# 2026-03-10 06:59:38  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=13.3.0.5-1
                        
# 2026-03-10 06:59:38  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-13-2
                        
# 2026-03-10 06:59:38  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-13-2=13.1.0.44-1
                        
# 2026-03-10 06:59:38  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=13.1.0.44-1
                        
# 2026-03-10 06:59:38  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.7.9.17-1
                        
# 2026-03-10 06:59:38  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=13.2.51-1
                        
# 2026-03-10 06:59:38  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=13.2.51-1
                        
# 2026-03-10 06:59:38  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=13.2.0-1
                        
# 2026-03-10 06:47:19  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2026-03-10 06:47:19  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2026-03-10 06:47:19  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2026-03-10 06:47:19  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2026-03-10 06:47:19  241.88KB 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} # buildkit
                        
# 2026-03-10 06:47:18  1.92GB 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-13-2=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-13-2=${NV_NVTX_VERSION}     libcusparse-13-2=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-03-10 06:47:18  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2026-03-10 06:47:18  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2026-03-10 06:47:18  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-13-2=13.3.0.5-1
                        
# 2026-03-10 06:47:18  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=13.3.0.5-1
                        
# 2026-03-10 06:47:18  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-13-2
                        
# 2026-03-10 06:47:18  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.7.9.17-1
                        
# 2026-03-10 06:47:18  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-13-2=13.1.0.44-1
                        
# 2026-03-10 06:47:18  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=13.1.0.44-1
                        
# 2026-03-10 06:47:18  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=13.2.20-1
                        
# 2026-03-10 06:47:18  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=13.2.0-1
                        
# 2026-03-10 06:38:46  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2026-03-10 06:38:46  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2026-03-10 06:38:46  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2026-03-10 06:38:45  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
                        
# 2026-03-10 06:38:45  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
                        
# 2026-03-10 06:38:45  22.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=arm64 /bin/sh -c echo "/usr/local/cuda/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
                        
# 2026-03-10 06:38:45  455.63MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=arm64 /bin/sh -c apt-get update &&     if apt-cache policy cuda-compat-orin-13-2 2>/dev/null | grep -q "Candidate:"; then         apt-get install -y --no-install-recommends cuda-compat-orin-13-2;     fi &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-03-10 06:33:29  416.07MB 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-13-2=${NV_CUDA_CUDART_VERSION}     cuda-compat-13-2     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-03-10 06:29:08  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=13.2.0
                        
# 2026-03-10 06:29:08  11.02MB 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/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
                        
# 2026-03-10 06:29:08  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2026-03-10 06:29:08  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2026-03-10 06:29:08  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=13.2.51-1
                        
# 2026-03-10 06:29:08  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
ENV NVIDIA_REQUIRE_CUDA=cuda>=13.2 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
                        
# 2026-03-10 06:29:08  0.00B 设置环境变量 NVARCH
ENV NVARCH=sbsa
                        
# 2026-02-11 00:52:29  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2026-02-11 00:52:29  100.72MB 
/bin/sh -c #(nop) ADD file:25d708bf0b30ddee20c0b2764034e065aca922cafd48eb9c662e35ba02ccf1de in / 
                        
# 2026-02-11 00:52:27  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=24.04
                        
# 2026-02-11 00:52:27  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2026-02-11 00:52:26  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2026-02-11 00:52:26  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2026-05-30T01:50:36.434361417Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
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            "NV_CUDA_CUDART_VERSION=13.2.51-1",
            "CUDA_VERSION=13.2.0",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
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            "NV_NVTX_VERSION=13.2.20-1",
            "NV_LIBNPP_VERSION=13.1.0.44-1",
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            "NV_LIBCUBLAS_VERSION=13.3.0.5-1",
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            "NV_NVML_DEV_VERSION=13.2.51-1",
            "NV_LIBCUSPARSE_DEV_VERSION=12.7.9.17-1",
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        "LastTagTime": "2026-06-05T19:00:37.807932337+08:00"
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}

更多版本

ghcr.io/spark-arena/dgx-vllm-eugr-nightly:latest

linux/arm64 ghcr.io18.97GB2026-06-05 19:15
12