ghcr.io/timothystewart6/vllm-gb10: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/timothystewart6/vllm-gb10:latest

linux/arm64 ghcr.io 请确认架构匹配

该Docker镜像基于vllm框架构建，用于高效执行大语言模型推理任务，支持高吞吐量、低延迟的生成式AI应用场景。

浏览次数

22.14GB

镜像大小

国内镜像

swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/timothystewart6/vllm-gb10:latest-linuxarm64

源镜像

ghcr.io/timothystewart6/vllm-gb10:latest

镜像ID

sha256:d26afc09db949024e61328e5f8dd71af1d8121b0205868374c553054f1f702f1

镜像 TAG

latest-linuxarm64

镜像大小

22.14GB

平台架构

linux/arm64

镜像源

ghcr.io

CMD

bash

启动入口

工作目录

/workspace

OS/平台

linux/arm64

镜像创建

2026-08-15T15:06:39Z

同步时间

2026-08-22 01:17

浏览量

4 次

贡献者

⚙️ 环境变量 38

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=sbsa`	`1`
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	`2`
`NV_CUDA_CUDART_VERSION=13.2.51-1`	`3`
`CUDA_VERSION=13.2.0`	`4`
`LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64`	`5`
`NVIDIA_VISIBLE_DEVICES=all`	`6`
`NVIDIA_DRIVER_CAPABILITIES=compute,utility`	`7`
`NV_CUDA_LIB_VERSION=13.2.0-1`	`8`
`NV_NVTX_VERSION=13.2.20-1`	`9`
`NV_LIBNPP_VERSION=13.1.0.44-1`	`10`
`NV_LIBNPP_PACKAGE=libnpp-13-2=13.1.0.44-1`	`11`
`NV_LIBCUSPARSE_VERSION=12.7.9.17-1`	`12`
`NV_LIBCUBLAS_PACKAGE_NAME=libcublas-13-2`	`13`
`NV_LIBCUBLAS_VERSION=13.3.0.5-1`	`14`
`NV_LIBCUBLAS_PACKAGE=libcublas-13-2=13.3.0.5-1`	`15`
`NVIDIA_PRODUCT_NAME=CUDA`	`16`
`NV_CUDA_CUDART_DEV_VERSION=13.2.51-1`	`17`
`NV_NVML_DEV_VERSION=13.2.51-1`	`18`
`NV_LIBCUSPARSE_DEV_VERSION=12.7.9.17-1`	`19`
`NV_LIBNPP_DEV_VERSION=13.1.0.44-1`	`20`
`NV_LIBNPP_DEV_PACKAGE=libnpp-dev-13-2=13.1.0.44-1`	`21`
`NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-13-2`	`22`
`NV_LIBCUBLAS_DEV_VERSION=13.3.0.5-1`	`23`
`NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-13-2=13.3.0.5-1`	`24`
`NV_CUDA_NSIGHT_COMPUTE_VERSION=13.2.0-1`	`25`
`NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-13-2=13.2.0-1`	`26`
`LIBRARY_PATH=/usr/local/cuda/lib64/stubs`	`27`
`DEBIAN_FRONTEND=noninteractive`	`28`
`PIP_BREAK_SYSTEM_PACKAGES=1`	`29`
`UV_SYSTEM_PYTHON=1`	`30`
`UV_BREAK_SYSTEM_PACKAGES=1`	`31`
`UV_LINK_MODE=copy`	`32`
`TORCH_CUDA_ARCH_LIST=12.1a`	`33`
`TRITON_PTXAS_PATH=/usr/local/cuda/bin/ptxas`	`34`
`CFLAGS=-fdebug-prefix-map=/workspace=. -fdebug-prefix-map=/opt=.`	`35`
`CXXFLAGS=-fdebug-prefix-map=/workspace=. -fdebug-prefix-map=/opt=.`	`36`
`TIKTOKEN_ENCODINGS_BASE=/workspace/tiktoken_encodings`	`37`

🏷️ 镜像标签 10

Key	Value
`NVIDIA CORPORATION <cudatools@nvidia.com>`	`maintainer`
`2026-08-15T15:07:21.363Z`	`org.opencontainers.image.created`
`Bleeding edge vLLM Docker image for the NVIDIA DGX Spark (GB10 / sm_121a).`	`org.opencontainers.image.description`
`MIT`	`org.opencontainers.image.licenses`
`ubuntu`	`org.opencontainers.image.ref.name`
`283e8c3d367b3c002111e82642a0609ee62fa522`	`org.opencontainers.image.revision`
`https://github.com/timothystewart6/vllm-gb10`	`org.opencontainers.image.source`
`vllm-gb10`	`org.opencontainers.image.title`
`https://github.com/timothystewart6/vllm-gb10`	`org.opencontainers.image.url`
`v0.27.1-gb10.2`	`org.opencontainers.image.version`

🛡️ 镜像安全扫描

ubuntu 24.04 Trivy 2026-08-22 01:17 查看完整报告

366

低危 LOW

3776

中危 MEDIUM

289

高危 HIGH

严重 CRITICAL

受影响目标 (8)

ghcr.io/timothystewart6/vllm-gb10:latest (ubuntu 24.04) ubuntu Java jar Python python-pkg opt/nccl/contrib/nccl4rust/Cargo.lock cargo opt/nccl/contrib/nccl4rust/tests/cuda-oxide-smoke/Cargo.lock cargo opt/nccl/contrib/nccl4rust/tests/runtime-smoke/Cargo.lock cargo usr/local/bin/uv rustbinary usr/local/bin/uvx rustbinary

Chatgpt|Claude一站式支持平台提供先进的AI镜像服务，助你在国内优雅的使用Chatgpt和Claude等AI服务

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/timothystewart6/vllm-gb10:latest-linuxarm64
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/timothystewart6/vllm-gb10:latest-linuxarm64  ghcr.io/timothystewart6/vllm-gb10:latest

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/timothystewart6/vllm-gb10:latest-linuxarm64
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/timothystewart6/vllm-gb10:latest-linuxarm64  ghcr.io/timothystewart6/vllm-gb10:latest

Shell快速替换命令

sed -i 's#ghcr.io/timothystewart6/vllm-gb10:latest#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/timothystewart6/vllm-gb10: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/timothystewart6/vllm-gb10:latest-linuxarm64 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/timothystewart6/vllm-gb10:latest-linuxarm64  ghcr.io/timothystewart6/vllm-gb10: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/timothystewart6/vllm-gb10:latest-linuxarm64 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/timothystewart6/vllm-gb10:latest-linuxarm64  ghcr.io/timothystewart6/vllm-gb10:latest'

镜像构建历史


# 2026-08-15 23:06:39  0.00B 设置默认要执行的命令
CMD ["bash"]
                        
# 2026-08-15 23:06:39  0.00B 配置容器启动时运行的命令
ENTRYPOINT []
                        
# 2026-08-15 23:06:39  2.00KB 复制新文件或目录到容器中
COPY build-metadata.yaml /workspace/build-metadata.yaml # buildkit
                        
# 2026-08-15 23:06:39  114.00B 执行命令并创建新的镜像层
RUN |3 PYTORCH_INDEX_URL=https://download.pytorch.org/whl/cu130 PYPI_INDEX_URL=https://pypi.org/simple FLASHINFER_INDEX_URL=https://flashinfer.ai/whl /bin/sh -c rm -f /usr/local/lib/python3.12/dist-packages/nvidia/nccl/lib/libnccl.so.2  && ln -s /usr/local/lib/libnccl.so.2       /usr/local/lib/python3.12/dist-packages/nvidia/nccl/lib/libnccl.so.2  && hash-build-artifacts.sh nccl /usr/local/lib/libnccl.so.2       > /workspace/build-artifacts/nccl-sha256.txt # buildkit
                        
# 2026-08-15 23:06:39  9.54GB 执行命令并创建新的镜像层
RUN |3 PYTORCH_INDEX_URL=https://download.pytorch.org/whl/cu130 PYPI_INDEX_URL=https://pypi.org/simple FLASHINFER_INDEX_URL=https://flashinfer.ai/whl /bin/sh -c _retry() {         local _n=0 _max=5 _delay=30;         until "$@"; do             _n=$(( _n + 1 ));             [ "${_n}" -ge "${_max}" ] && { echo "All ${_max} attempts failed"; exit 1; };             _delay=$(( _delay * 2 ));             echo "Attempt ${_n}/${_max} failed, retrying in ${_delay}s...";             sleep "${_delay}";         done;     }  && _retry uv pip install --require-hashes -r /tmp/python-runtime.txt       --index-url ${PYPI_INDEX_URL}       --extra-index-url ${PYTORCH_INDEX_URL}       --extra-index-url ${FLASHINFER_INDEX_URL}       --index-strategy unsafe-best-match  && uv pip install --no-deps /fi-wheels/*.whl /vllm-wheels/*.whl  && mkdir -p /workspace/build-artifacts  && hash-build-artifacts.sh wheels /fi-wheels /vllm-wheels       > /workspace/build-artifacts/wheel-sha256.txt # buildkit
                        
# 2026-08-15 23:06:39  3.01KB 复制新文件或目录到容器中
COPY scripts/hash-build-artifacts.sh /usr/local/bin/hash-build-artifacts.sh # buildkit
                        
# 2026-08-15 23:06:39  155.27MB 执行命令并创建新的镜像层
RUN |3 PYTORCH_INDEX_URL=https://download.pytorch.org/whl/cu130 PYPI_INDEX_URL=https://pypi.org/simple FLASHINFER_INDEX_URL=https://flashinfer.ai/whl /bin/sh -c apt-get -o Acquire::Retries=5 update  && apt-get -o Acquire::Retries=5 install -y --no-install-recommends libboost-dev libaio-dev  && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-08-15 23:06:39  0.00B 设置环境变量 TIKTOKEN_ENCODINGS_BASE
ENV TIKTOKEN_ENCODINGS_BASE=/workspace/tiktoken_encodings
                        
# 2026-08-15 23:06:39  5.30MB 执行命令并创建新的镜像层
RUN |3 PYTORCH_INDEX_URL=https://download.pytorch.org/whl/cu130 PYPI_INDEX_URL=https://pypi.org/simple FLASHINFER_INDEX_URL=https://flashinfer.ai/whl /bin/sh -c mkdir -p tiktoken_encodings  && wget -O tiktoken_encodings/o200k_base.tiktoken  https://raw.githubusercontent.com/dotnet/machinelearning/efefa92f4486a43047c5b47618885a71bf7f0967/src/Microsoft.ML.Tokenizers.Data.O200kBase/Data/o200k_base.tiktoken  && wget -O tiktoken_encodings/cl100k_base.tiktoken https://raw.githubusercontent.com/dotnet/machinelearning/efefa92f4486a43047c5b47618885a71bf7f0967/src/Microsoft.ML.Tokenizers.Data.Cl100kBase/Data/cl100k_base.tiktoken  && cd tiktoken_encodings && sha256sum -c /tmp/tiktoken.sha256 # buildkit
                        
# 2026-08-15 23:06:39  173.00B 复制新文件或目录到容器中
COPY checksums/tiktoken.sha256 /tmp/tiktoken.sha256 # buildkit
                        
# 2026-08-15 23:06:39  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2026-08-15 23:06:39  372.33KB 复制新文件或目录到容器中
COPY locks/python-runtime.txt /tmp/python-runtime.txt # buildkit
                        
# 2026-08-15 23:06:39  0.00B 定义构建参数
ARG FLASHINFER_INDEX_URL
                        
# 2026-08-15 23:06:39  0.00B 定义构建参数
ARG PYPI_INDEX_URL
                        
# 2026-08-15 23:06:39  0.00B 定义构建参数
ARG PYTORCH_INDEX_URL
                        
# 2026-08-15 23:06:39  637.84MB 执行命令并创建新的镜像层
RUN |11 TORCH_VERSION=2.13.0 TORCHVISION_VERSION=0.28.0 TORCHAUDIO_VERSION=2.11.0 TRITON_VERSION=3.7.1 NVSHMEM_VERSION=3.4.5 TVM_FFI_VERSION=0.1.11 TILELANG_VERSION=0.1.12 NUMBA_VERSION=0.65.0 NCCL_REPO=https://github.com/NVIDIA/nccl.git NCCL_REF=v2.31.2-1 NCCL_COMMIT=7b83616df3ae082a1f32bb74c27458bfe8153a13 /bin/sh -c git clone --depth 1 -b ${NCCL_REF} ${NCCL_REPO} /opt/nccl  && cd /opt/nccl  && [ "$(git rev-parse HEAD)" = "${NCCL_COMMIT}" ]  && make -j ${BUILD_JOBS} src.build       NVCC_GENCODE="-gencode=arch=compute_121,code=sm_121"  && make install PREFIX=/usr/local  && ldconfig # buildkit
                        
# 2026-08-15 23:06:39  0.00B 定义构建参数
ARG NCCL_COMMIT
                        
# 2026-08-15 23:06:39  0.00B 定义构建参数
ARG NCCL_REF
                        
# 2026-08-15 23:06:39  0.00B 定义构建参数
ARG NCCL_REPO
                        
# 2026-08-15 23:06:39  0.00B 定义构建参数
ARG NUMBA_VERSION
                        
# 2026-08-15 23:06:39  0.00B 定义构建参数
ARG TILELANG_VERSION
                        
# 2026-08-15 23:06:39  0.00B 定义构建参数
ARG TVM_FFI_VERSION
                        
# 2026-08-15 23:06:39  0.00B 定义构建参数
ARG NVSHMEM_VERSION
                        
# 2026-08-15 23:06:39  0.00B 定义构建参数
ARG TRITON_VERSION
                        
# 2026-08-15 23:06:39  0.00B 定义构建参数
ARG TORCHAUDIO_VERSION
                        
# 2026-08-15 23:06:39  0.00B 定义构建参数
ARG TORCHVISION_VERSION
                        
# 2026-08-15 23:06:39  0.00B 定义构建参数
ARG TORCH_VERSION
                        
# 2026-08-15 23:06:39  4.83GB 执行命令并创建新的镜像层
RUN /bin/sh -c _retry() {         local _n=0 _max=5 _delay=30;         until "$@"; do             _n=$(( _n + 1 ));             [ "${_n}" -ge "${_max}" ] && { echo "All ${_max} attempts failed"; exit 1; };             _delay=$(( _delay * 2 ));             echo "Attempt ${_n}/${_max} failed, retrying in ${_delay}s...";             sleep "${_delay}";         done;     }  && _retry uv pip install --require-hashes -r /tmp/python-build.txt       --index-url ${PYPI_INDEX_URL}       --extra-index-url ${PYTORCH_INDEX_URL}       --index-strategy unsafe-best-match # buildkit
                        
# 2026-08-15 23:06:39  298.03MB 执行命令并创建新的镜像层
RUN |4 UV_VERSION=0.12.5 PYTORCH_INDEX_URL=https://download.pytorch.org/whl/cu130 PYPI_INDEX_URL=https://pypi.org/simple TORCH_CUDA_ARCH_LIST=12.1a /bin/sh -c rm -f /etc/apt/sources.list.d/*.list /etc/apt/sources.list.d/*.sources  && cp /tmp/apt-sources.list /etc/apt/sources.list  && apt-get -o Acquire::Retries=5 update  && grep -vE '^\s*(#|$)' /tmp/apt-packages.txt       | xargs apt-get -o Acquire::Retries=5 install -y --no-install-recommends  && rm -rf /var/lib/apt/lists/*  && python3 -m pip install --no-cache-dir --require-hashes --no-deps       -r /tmp/python-bootstrap.txt       --index-url ${PYPI_INDEX_URL} # buildkit
                        
# 2026-08-15 23:06:39  58.65KB 复制新文件或目录到容器中
COPY locks/python-build.txt /tmp/python-build.txt # buildkit
                        
# 2026-08-15 23:06:39  1.80KB 复制新文件或目录到容器中
COPY locks/python-bootstrap.txt /tmp/python-bootstrap.txt # buildkit
                        
# 2026-08-15 23:06:39  1.12KB 复制新文件或目录到容器中
COPY locks/apt-packages.txt /tmp/apt-packages.txt # buildkit
                        
# 2026-08-15 23:06:39  973.00B 复制新文件或目录到容器中
COPY locks/apt-sources.list /tmp/apt-sources.list # buildkit
                        
# 2026-08-15 23:06:39  0.00B 设置环境变量 DEBIAN_FRONTEND PIP_BREAK_SYSTEM_PACKAGES UV_SYSTEM_PYTHON UV_BREAK_SYSTEM_PACKAGES UV_LINK_MODE TORCH_CUDA_ARCH_LIST TRITON_PTXAS_PATH CFLAGS -fdebug-prefix-map CXXFLAGS -fdebug-prefix-map
ENV DEBIAN_FRONTEND=noninteractive PIP_BREAK_SYSTEM_PACKAGES=1 UV_SYSTEM_PYTHON=1 UV_BREAK_SYSTEM_PACKAGES=1 UV_LINK_MODE=copy TORCH_CUDA_ARCH_LIST=12.1a TRITON_PTXAS_PATH=/usr/local/cuda/bin/ptxas CFLAGS=-fdebug-prefix-map=/workspace=. -fdebug-prefix-map=/opt=. CXXFLAGS=-fdebug-prefix-map=/workspace=. -fdebug-prefix-map=/opt=.
                        
# 2026-08-15 23:06:39  0.00B 定义构建参数
ARG TORCH_CUDA_ARCH_LIST=12.1a
                        
# 2026-08-15 23:06:39  0.00B 定义构建参数
ARG PYPI_INDEX_URL
                        
# 2026-08-15 23:06:39  0.00B 定义构建参数
ARG PYTORCH_INDEX_URL
                        
# 2026-08-15 23:06:39  0.00B 定义构建参数
ARG UV_VERSION
                        
# 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": "2026-08-15T15:06:39Z",
    "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=13.2 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=570,driver\u003c571 brand=grid,driver\u003e=570,driver\u003c571 brand=tesla,driver\u003e=570,driver\u003c571 brand=nvidia,driver\u003e=570,driver\u003c571 brand=quadro,driver\u003e=570,driver\u003c571 brand=quadrortx,driver\u003e=570,driver\u003c571 brand=nvidiartx,driver\u003e=570,driver\u003c571 brand=vapps,driver\u003e=570,driver\u003c571 brand=vpc,driver\u003e=570,driver\u003c571 brand=vcs,driver\u003e=570,driver\u003c571 brand=vws,driver\u003e=570,driver\u003c571 brand=cloudgaming,driver\u003e=570,driver\u003c571 brand=unknown,driver\u003e=580,driver\u003c581 brand=grid,driver\u003e=580,driver\u003c581 brand=tesla,driver\u003e=580,driver\u003c581 brand=nvidia,driver\u003e=580,driver\u003c581 brand=quadro,driver\u003e=580,driver\u003c581 brand=quadrortx,driver\u003e=580,driver\u003c581 brand=nvidiartx,driver\u003e=580,driver\u003c581 brand=vapps,driver\u003e=580,driver\u003c581 brand=vpc,driver\u003e=580,driver\u003c581 brand=vcs,driver\u003e=580,driver\u003c581 brand=vws,driver\u003e=580,driver\u003c581 brand=cloudgaming,driver\u003e=580,driver\u003c581 brand=unknown,driver\u003e=590,driver\u003c591 brand=grid,driver\u003e=590,driver\u003c591 brand=tesla,driver\u003e=590,driver\u003c591 brand=nvidia,driver\u003e=590,driver\u003c591 brand=quadro,driver\u003e=590,driver\u003c591 brand=quadrortx,driver\u003e=590,driver\u003c591 brand=nvidiartx,driver\u003e=590,driver\u003c591 brand=vapps,driver\u003e=590,driver\u003c591 brand=vpc,driver\u003e=590,driver\u003c591 brand=vcs,driver\u003e=590,driver\u003c591 brand=vws,driver\u003e=590,driver\u003c591 brand=cloudgaming,driver\u003e=590,driver\u003c591",
            "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",
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            "UV_LINK_MODE=copy",
            "TORCH_CUDA_ARCH_LIST=12.1a",
            "TRITON_PTXAS_PATH=/usr/local/cuda/bin/ptxas",
            "CFLAGS=-fdebug-prefix-map=/workspace=. -fdebug-prefix-map=/opt=.",
            "CXXFLAGS=-fdebug-prefix-map=/workspace=. -fdebug-prefix-map=/opt=.",
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        ]
    },
    "Metadata": {
        "LastTagTime": "2026-08-22T01:17:49.948711226+08:00"
    }
}

更多版本

ghcr.io/timothystewart6/vllm-gb10:v0.27.1-gb10.2

linux/arm64 ghcr.io22.14GB2026-08-22 00:43

ghcr.io/timothystewart6/vllm-gb10:latest

linux/arm64 ghcr.io22.14GB2026-08-22 01:17

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