docker.io/vllm/vllm-openai:deepseekv4-cu130 linux/amd64

docker.io/vllm/vllm-openai:deepseekv4-cu130 - 国内下载镜像源 浏览次数:798
这是镜像描述:

vllm/openai

基于 OpenAI 的 GPT-3 模型的 API 服务,支持自然语言处理等功能。

源镜像 docker.io/vllm/vllm-openai:deepseekv4-cu130
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai:deepseekv4-cu130
镜像ID sha256:034f7c295a26d6f72525ab23849a1fb8e0be8918a31acba6d1d17cd2860da475
镜像TAG deepseekv4-cu130
大小 23.06GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD
启动入口 vllm serve
工作目录 /vllm-workspace
OS/平台 linux/amd64
浏览量 798 次
贡献者
镜像创建 2026-04-24T06:54:03.828829529Z
同步时间 2026-04-25 02:38
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=x86_64 NVIDIA_REQUIRE_CUDA=cuda>=13.0 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 brand=unknown,driver>=565,driver<566 brand=grid,driver>=565,driver<566 brand=tesla,driver>=565,driver<566 brand=nvidia,driver>=565,driver<566 brand=quadro,driver>=565,driver<566 brand=quadrortx,driver>=565,driver<566 brand=nvidiartx,driver>=565,driver<566 brand=vapps,driver>=565,driver<566 brand=vpc,driver>=565,driver<566 brand=vcs,driver>=565,driver<566 brand=vws,driver>=565,driver<566 brand=cloudgaming,driver>=565,driver<566 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>=575,driver<576 brand=grid,driver>=575,driver<576 brand=tesla,driver>=575,driver<576 brand=nvidia,driver>=575,driver<576 brand=quadro,driver>=575,driver<576 brand=quadrortx,driver>=575,driver<576 brand=nvidiartx,driver>=575,driver<576 brand=vapps,driver>=575,driver<576 brand=vpc,driver>=575,driver<576 brand=vcs,driver>=575,driver<576 brand=vws,driver>=575,driver<576 brand=cloudgaming,driver>=575,driver<576 NV_CUDA_CUDART_VERSION=13.0.88-1 CUDA_VERSION=13.0.1 LD_LIBRARY_PATH=/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility DEBIAN_FRONTEND=noninteractive UV_HTTP_TIMEOUT=500 UV_INDEX_STRATEGY=unsafe-best-match UV_LINK_MODE=copy VLLM_ENABLE_CUDA_COMPATIBILITY=0 TORCH_CUDA_ARCH_LIST=7.0 7.5 8.0 8.9 9.0 10.0 12.0 VLLM_USAGE_SOURCE=production-docker-image
镜像标签
NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer ubuntu: org.opencontainers.image.ref.name 22.04: org.opencontainers.image.version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai:deepseekv4-cu130
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai:deepseekv4-cu130  docker.io/vllm/vllm-openai:deepseekv4-cu130

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai:deepseekv4-cu130
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai:deepseekv4-cu130  docker.io/vllm/vllm-openai:deepseekv4-cu130

Shell快速替换命令

sed -i 's#vllm/vllm-openai:deepseekv4-cu130#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai:deepseekv4-cu130#' 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/vllm/vllm-openai:deepseekv4-cu130 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai:deepseekv4-cu130  docker.io/vllm/vllm-openai:deepseekv4-cu130'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai:deepseekv4-cu130 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai:deepseekv4-cu130  docker.io/vllm/vllm-openai:deepseekv4-cu130'

镜像构建历史


# 2026-04-24 14:54:03  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["vllm" "serve"]
                        
# 2026-04-24 14:54:03  0.00B 设置环境变量 VLLM_USAGE_SOURCE
ENV VLLM_USAGE_SOURCE=production-docker-image
                        
# 2026-04-24 14:54:03  1.16GB 执行命令并创建新的镜像层
RUN |8 TARGETPLATFORM=linux/amd64 INSTALL_KV_CONNECTORS=true CUDA_VERSION=13.0.1 PIP_INDEX_URL= UV_INDEX_URL= PIP_EXTRA_INDEX_URL= UV_EXTRA_INDEX_URL= torch_cuda_arch_list=7.0 7.5 8.0 8.9 9.0 10.0 12.0 /bin/sh -c CUDA_MAJOR="${CUDA_VERSION%%.*}";     CUDA_VERSION_DASH=$(echo $CUDA_VERSION | cut -d. -f1,2 | tr '.' '-');     CUDA_HOME=/usr/local/cuda;     BUILD_PKGS="libcusparse-dev-${CUDA_VERSION_DASH}                 libcublas-dev-${CUDA_VERSION_DASH}                 libcusolver-dev-${CUDA_VERSION_DASH}";     if [ "$INSTALL_KV_CONNECTORS" = "true" ]; then         if [ "$CUDA_MAJOR" -ge 13 ]; then             uv pip install --system nixl-cu13;         fi;         uv pip install --system -r /tmp/kv_connectors.txt --no-build || (             apt-get update -y &&             apt-get install -y --no-install-recommends --allow-change-held-packages ${BUILD_PKGS} &&             uv pip install --system -r /tmp/kv_connectors.txt --no-build-isolation &&             apt-get purge -y ${BUILD_PKGS} &&             rm -rf /var/lib/apt/lists/*         );         MOONCAKE_BUILD_PKGS="cmake ninja-build git             libgoogle-glog-dev libgtest-dev libjsoncpp-dev libunwind-dev             libpython3-dev libboost-all-dev libssl-dev             libgrpc-dev libgrpc++-dev libprotobuf-dev libyaml-cpp-dev protobuf-compiler-grpc             libcurl4-openssl-dev libhiredis-dev liburing-dev libjemalloc-dev             libmsgpack-dev libzstd-dev libasio-dev libxxhash-dev pkg-config patchelf";         apt-get update -y &&         apt-get install -y --no-install-recommends ${MOONCAKE_BUILD_PKGS} &&         git clone --branch compat/ubuntu-22.04 --depth 1 --recurse-submodules             https://github.com/zhewenl/Mooncake-rdma.git /tmp/Mooncake &&         cd /tmp/Mooncake/extern/yalantinglibs && mkdir -p build && cd build &&         cmake .. -DBUILD_EXAMPLES=OFF -DBUILD_BENCHMARK=OFF -DBUILD_UNIT_TESTS=OFF &&         cmake --build . -j$(nproc) && cmake --install . &&         cd /tmp/Mooncake &&         export LIBRARY_PATH=/usr/local/cuda/lib64/stubs:${LIBRARY_PATH} &&         mkdir -p build && cd build &&         cmake .. -DUSE_CUDA=ON -DWITH_NVIDIA_PEERMEM=OFF -DUSE_MNNVL=ON             -DPython3_EXECUTABLE=$(which python3)             -DPYTHON_EXECUTABLE=$(which python3) &&         make -j$(nproc) && make install &&         strings /usr/local/lib/python${PYTHON_VERSION}/dist-packages/mooncake/engine*.so             | grep -q "cuMemGetAddressRange" ||             { echo "ERROR: mooncake dmabuf fix missing in built binary"; exit 1; } &&         cd / && rm -rf /tmp/Mooncake &&         apt-get purge -y ${MOONCAKE_BUILD_PKGS} &&         apt-get install -y --no-install-recommends             libgoogle-glog0v5 libjsoncpp25 liburing2 libgflags2.2             libjemalloc2 libhiredis0.14 libcurl4 &&         apt-get autoremove -y && rm -rf /var/lib/apt/lists/* &&         if [ ! -f /usr/local/cuda/lib64/libcudart.so ] && [ -f /usr/local/cuda/lib64/libcudart.so.13 ]; then             ln -s libcudart.so.13 /usr/local/cuda/lib64/libcudart.so;         elif [ ! -f /usr/local/cuda/lib64/libcudart.so ] && [ -f /usr/local/cuda/lib64/libcudart.so.12 ]; then             ln -s libcudart.so.12 /usr/local/cuda/lib64/libcudart.so;         fi;     fi # buildkit
                        
# 2026-04-24 14:48:38  0.00B 设置环境变量 TORCH_CUDA_ARCH_LIST
ENV TORCH_CUDA_ARCH_LIST=7.0 7.5 8.0 8.9 9.0 10.0 12.0
                        
# 2026-04-24 14:48:38  0.00B 定义构建参数
ARG torch_cuda_arch_list=7.0 7.5 8.0 8.9 9.0 10.0 12.0
                        
# 2026-04-24 14:48:38  0.00B 设置环境变量 UV_HTTP_TIMEOUT
ENV UV_HTTP_TIMEOUT=500
                        
# 2026-04-24 14:48:38  0.00B 定义构建参数
ARG PIP_EXTRA_INDEX_URL UV_EXTRA_INDEX_URL
                        
# 2026-04-24 14:48:38  0.00B 定义构建参数
ARG PIP_INDEX_URL UV_INDEX_URL
                        
# 2026-04-24 14:48:38  0.00B 定义构建参数
ARG CUDA_VERSION
                        
# 2026-04-24 14:48:38  0.00B 定义构建参数
ARG INSTALL_KV_CONNECTORS=false
                        
# 2026-04-24 14:48:38  0.00B 定义构建参数
ARG TARGETPLATFORM
                        
# 2026-04-24 14:48:38  35.09KB 复制新文件或目录到容器中
COPY ./vllm/collect_env.py . # buildkit
                        
# 2026-04-24 14:48:38  987.12KB 复制新文件或目录到容器中
COPY benchmarks benchmarks # buildkit
                        
# 2026-04-24 14:48:38  1.23MB 复制新文件或目录到容器中
COPY examples examples # buildkit
                        
# 2026-04-24 14:48:38  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64
                        
# 2026-04-24 14:48:38  30.38MB 执行命令并创建新的镜像层
RUN |22 CUDA_VERSION=13.0.1 PYTHON_VERSION=3.12 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py PYTORCH_CUDA_INDEX_BASE_URL=https://download.pytorch.org/whl FLASHINFER_VERSION=0.6.8.post1 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu22_04 TARGETPLATFORM=linux/amd64 BITSANDBYTES_VERSION_X86=0.46.1 BITSANDBYTES_VERSION_ARM64=0.42.0 TIMM_VERSION=>=1.0.17 RUNAI_MODEL_STREAMER_VERSION=>=0.15.7 PIP_INDEX_URL= UV_INDEX_URL= PIP_EXTRA_INDEX_URL= UV_EXTRA_INDEX_URL= PYTORCH_CUDA_INDEX_BASE_URL=https://download.pytorch.org/whl PIP_KEYRING_PROVIDER=disabled UV_KEYRING_PROVIDER=disabled PYTORCH_NIGHTLY= /bin/sh -c uv pip install --system ep_kernels/dist/*.whl --verbose         --extra-index-url ${PYTORCH_CUDA_INDEX_BASE_URL}/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.') # buildkit
                        
# 2026-04-24 14:48:37  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64
                        
# 2026-04-24 14:48:37  0.00B 执行命令并创建新的镜像层
RUN |22 CUDA_VERSION=13.0.1 PYTHON_VERSION=3.12 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py PYTORCH_CUDA_INDEX_BASE_URL=https://download.pytorch.org/whl FLASHINFER_VERSION=0.6.8.post1 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu22_04 TARGETPLATFORM=linux/amd64 BITSANDBYTES_VERSION_X86=0.46.1 BITSANDBYTES_VERSION_ARM64=0.42.0 TIMM_VERSION=>=1.0.17 RUNAI_MODEL_STREAMER_VERSION=>=0.15.7 PIP_INDEX_URL= UV_INDEX_URL= PIP_EXTRA_INDEX_URL= UV_EXTRA_INDEX_URL= PYTORCH_CUDA_INDEX_BASE_URL=https://download.pytorch.org/whl PIP_KEYRING_PROVIDER=disabled UV_KEYRING_PROVIDER=disabled PYTORCH_NIGHTLY= /bin/sh -c . /etc/environment && uv pip list # buildkit
                        
# 2026-04-24 14:48:37  536.72MB 执行命令并创建新的镜像层
RUN |22 CUDA_VERSION=13.0.1 PYTHON_VERSION=3.12 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py PYTORCH_CUDA_INDEX_BASE_URL=https://download.pytorch.org/whl FLASHINFER_VERSION=0.6.8.post1 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu22_04 TARGETPLATFORM=linux/amd64 BITSANDBYTES_VERSION_X86=0.46.1 BITSANDBYTES_VERSION_ARM64=0.42.0 TIMM_VERSION=>=1.0.17 RUNAI_MODEL_STREAMER_VERSION=>=0.15.7 PIP_INDEX_URL= UV_INDEX_URL= PIP_EXTRA_INDEX_URL= UV_EXTRA_INDEX_URL= PYTORCH_CUDA_INDEX_BASE_URL=https://download.pytorch.org/whl PIP_KEYRING_PROVIDER=disabled UV_KEYRING_PROVIDER=disabled PYTORCH_NIGHTLY= /bin/sh -c if [ "${PYTORCH_NIGHTLY}" = "1" ]; then         echo "Installing torch nightly..."         && uv pip install --system $(cat torch_lib_versions.txt | xargs) --pre         --index-url ${PYTORCH_CUDA_INDEX_BASE_URL}/nightly/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.')         && echo "Installing vLLM..."         && uv pip install --system dist/*.whl --verbose         --extra-index-url ${PYTORCH_CUDA_INDEX_BASE_URL}/nightly/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.');     else         echo "Installing vLLM..."         && uv pip install --system dist/*.whl --verbose         --extra-index-url ${PYTORCH_CUDA_INDEX_BASE_URL}/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.');     fi # buildkit
                        
# 2026-04-24 14:48:25  71.00B 复制新文件或目录到容器中
COPY /workspace/torch_lib_versions.txt torch_lib_versions.txt # buildkit
                        
# 2026-04-24 14:48:25  0.00B 定义构建参数
ARG PYTORCH_NIGHTLY
                        
# 2026-04-24 14:48:25  0.00B 定义构建参数
ARG PIP_KEYRING_PROVIDER UV_KEYRING_PROVIDER
                        
# 2026-04-24 14:48:25  0.00B 定义构建参数
ARG PYTORCH_CUDA_INDEX_BASE_URL
                        
# 2026-04-24 14:48:25  0.00B 定义构建参数
ARG PIP_EXTRA_INDEX_URL UV_EXTRA_INDEX_URL
                        
# 2026-04-24 14:48:25  0.00B 定义构建参数
ARG PIP_INDEX_URL UV_INDEX_URL
                        
# 2026-04-24 14:48:25  315.75MB 执行命令并创建新的镜像层
RUN |14 CUDA_VERSION=13.0.1 PYTHON_VERSION=3.12 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py PYTORCH_CUDA_INDEX_BASE_URL=https://download.pytorch.org/whl FLASHINFER_VERSION=0.6.8.post1 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu22_04 TARGETPLATFORM=linux/amd64 BITSANDBYTES_VERSION_X86=0.46.1 BITSANDBYTES_VERSION_ARM64=0.42.0 TIMM_VERSION=>=1.0.17 RUNAI_MODEL_STREAMER_VERSION=>=0.15.7 /bin/sh -c if [ "$TARGETPLATFORM" = "linux/arm64" ]; then         BITSANDBYTES_VERSION="${BITSANDBYTES_VERSION_ARM64}";     else         BITSANDBYTES_VERSION="${BITSANDBYTES_VERSION_X86}";     fi;     uv pip install --system accelerate hf_transfer modelscope         "bitsandbytes>=${BITSANDBYTES_VERSION}" "timm${TIMM_VERSION}" "runai-model-streamer[s3,gcs,azure]${RUNAI_MODEL_STREAMER_VERSION}" # buildkit
                        
# 2026-04-24 14:48:18  0.00B 定义构建参数
ARG RUNAI_MODEL_STREAMER_VERSION=>=0.15.7
                        
# 2026-04-24 14:48:18  0.00B 定义构建参数
ARG TIMM_VERSION=>=1.0.17
                        
# 2026-04-24 14:48:18  0.00B 定义构建参数
ARG BITSANDBYTES_VERSION_ARM64=0.42.0
                        
# 2026-04-24 14:48:18  0.00B 定义构建参数
ARG BITSANDBYTES_VERSION_X86=0.46.1
                        
# 2026-04-24 14:48:18  2.42MB 执行命令并创建新的镜像层
RUN |10 CUDA_VERSION=13.0.1 PYTHON_VERSION=3.12 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py PYTORCH_CUDA_INDEX_BASE_URL=https://download.pytorch.org/whl FLASHINFER_VERSION=0.6.8.post1 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu22_04 TARGETPLATFORM=linux/amd64 /bin/sh -c set -eux;     case "${TARGETPLATFORM}" in       linux/arm64) UUARCH="aarch64" ;;       linux/amd64) UUARCH="x64" ;;       *) echo "Unsupported TARGETPLATFORM: ${TARGETPLATFORM}" >&2; exit 1 ;;     esac;     /tmp/install_gdrcopy.sh "${GDRCOPY_OS_VERSION}" "${GDRCOPY_CUDA_VERSION}" "${UUARCH}" &&     rm /tmp/install_gdrcopy.sh # buildkit
                        
# 2026-04-24 14:48:11  1.44KB 复制新文件或目录到容器中
COPY tools/install_gdrcopy.sh /tmp/install_gdrcopy.sh # buildkit
                        
# 2026-04-24 14:48:11  0.00B 定义构建参数
ARG TARGETPLATFORM
                        
# 2026-04-24 14:48:11  0.00B 定义构建参数
ARG GDRCOPY_OS_VERSION=Ubuntu22_04
                        
# 2026-04-24 14:48:11  0.00B 定义构建参数
ARG GDRCOPY_CUDA_VERSION=12.8
                        
# 2026-04-24 14:48:11  10.55GB 执行命令并创建新的镜像层
RUN |7 CUDA_VERSION=13.0.1 PYTHON_VERSION=3.12 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py PYTORCH_CUDA_INDEX_BASE_URL=https://download.pytorch.org/whl FLASHINFER_VERSION=0.6.8.post1 /bin/sh -c uv pip install --system flashinfer-jit-cache==${FLASHINFER_VERSION}         --extra-index-url https://flashinfer.ai/whl/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.')     && flashinfer show-config     && flashinfer download-cubin # buildkit
                        
# 2026-04-24 14:27:38  0.00B 定义构建参数
ARG FLASHINFER_VERSION=0.6.8.post1
                        
# 2026-04-24 14:27:38  7.28GB 执行命令并创建新的镜像层
RUN |6 CUDA_VERSION=13.0.1 PYTHON_VERSION=3.12 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py PYTORCH_CUDA_INDEX_BASE_URL=https://download.pytorch.org/whl /bin/sh -c uv pip install --system -r /tmp/requirements-cuda.txt         --extra-index-url ${PYTORCH_CUDA_INDEX_BASE_URL}/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.') &&     rm /tmp/requirements-cuda.txt /tmp/common.txt # buildkit
                        
# 2026-04-24 14:26:27  814.00B 复制新文件或目录到容器中
COPY requirements/cuda.txt /tmp/requirements-cuda.txt # buildkit
                        
# 2026-04-24 14:26:27  2.92KB 复制新文件或目录到容器中
COPY requirements/common.txt /tmp/common.txt # buildkit
                        
# 2026-04-24 14:26:27  0.00B 定义构建参数
ARG PYTORCH_CUDA_INDEX_BASE_URL
                        
# 2026-04-24 14:26:27  0.00B 设置环境变量 VLLM_ENABLE_CUDA_COMPATIBILITY
ENV VLLM_ENABLE_CUDA_COMPATIBILITY=0
                        
# 2026-04-24 14:26:27  0.00B 设置环境变量 UV_LINK_MODE
ENV UV_LINK_MODE=copy
                        
# 2026-04-24 14:26:27  0.00B 设置环境变量 UV_INDEX_STRATEGY
ENV UV_INDEX_STRATEGY=unsafe-best-match
                        
# 2026-04-24 14:26:27  0.00B 设置环境变量 UV_HTTP_TIMEOUT
ENV UV_HTTP_TIMEOUT=500
                        
# 2026-04-24 14:26:27  86.60MB 执行命令并创建新的镜像层
RUN |5 CUDA_VERSION=13.0.1 PYTHON_VERSION=3.12 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py /bin/sh -c python3 -m pip install uv # buildkit
                        
# 2026-04-24 14:26:24  2.04GB 执行命令并创建新的镜像层
RUN |5 CUDA_VERSION=13.0.1 PYTHON_VERSION=3.12 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py /bin/sh -c CUDA_VERSION_DASH=$(echo $CUDA_VERSION | cut -d. -f1,2 | tr '.' '-') &&     CUDA_VERSION_SHORT=$(echo $CUDA_VERSION | cut -d. -f1,2) &&     apt-get update -y &&     apt-get install -y --no-install-recommends --allow-change-held-packages         cuda-nvcc-${CUDA_VERSION_DASH}         cuda-cudart-${CUDA_VERSION_DASH}         cuda-nvrtc-${CUDA_VERSION_DASH}         cuda-cuobjdump-${CUDA_VERSION_DASH}         libcurand-dev-${CUDA_VERSION_DASH}         libcublas-${CUDA_VERSION_DASH}         libnuma-dev         numactl &&     NCCL_VER=$(apt-cache madison libnccl-dev | grep "+cuda${CUDA_VERSION_SHORT}" | head -1 | awk -F'|' '{gsub(/^ +| +$/, "", $2); print $2}') &&     apt-get install -y --no-install-recommends --allow-change-held-packages libnccl-dev=${NCCL_VER} libnccl2=${NCCL_VER} &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-04-24 14:25:15  646.98MB 执行命令并创建新的镜像层
RUN |5 CUDA_VERSION=13.0.1 PYTHON_VERSION=3.12 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py /bin/sh -c apt-get update -y     && apt-get install -y --no-install-recommends         software-properties-common         curl         sudo         ffmpeg         libsm6         libxext6         libgl1     && if [ ! -z ${DEADSNAKES_MIRROR_URL} ] ; then         if [ ! -z "${DEADSNAKES_GPGKEY_URL}" ] ; then             mkdir -p -m 0755 /etc/apt/keyrings ;             curl -L ${DEADSNAKES_GPGKEY_URL} | gpg --dearmor > /etc/apt/keyrings/deadsnakes.gpg ;             sudo chmod 644 /etc/apt/keyrings/deadsnakes.gpg ;             echo "deb [signed-by=/etc/apt/keyrings/deadsnakes.gpg] ${DEADSNAKES_MIRROR_URL} $(lsb_release -cs) main" > /etc/apt/sources.list.d/deadsnakes.list ;         fi ;     else         for i in 1 2 3; do             add-apt-repository -y ppa:deadsnakes/ppa && break ||             { echo "Attempt $i failed, retrying in 5s..."; sleep 5; };         done ;     fi     && apt-get update -y     && apt-get install -y --no-install-recommends         python${PYTHON_VERSION}         python${PYTHON_VERSION}-dev         python${PYTHON_VERSION}-venv         libibverbs-dev     && rm -rf /var/lib/apt/lists/*     && update-alternatives --install /usr/bin/python3 python3 /usr/bin/python${PYTHON_VERSION} 1     && update-alternatives --set python3 /usr/bin/python${PYTHON_VERSION}     && ln -sf /usr/bin/python${PYTHON_VERSION}-config /usr/bin/python3-config     && rm -f /usr/lib/python${PYTHON_VERSION}/EXTERNALLY-MANAGED     && curl -sS ${GET_PIP_URL} | python${PYTHON_VERSION}     && python3 --version && python3 -m pip --version # buildkit
                        
# 2026-04-24 14:21:42  136.00B 执行命令并创建新的镜像层
RUN |5 CUDA_VERSION=13.0.1 PYTHON_VERSION=3.12 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py /bin/sh -c PYTHON_VERSION_STR=$(echo ${PYTHON_VERSION} | sed 's/\.//g') &&     echo "export PYTHON_VERSION_STR=${PYTHON_VERSION_STR}" >> /etc/environment # buildkit
                        
# 2026-04-24 14:21:19  0.00B 设置工作目录为/vllm-workspace
WORKDIR /vllm-workspace
                        
# 2026-04-24 14:21:19  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2026-04-24 14:21:19  0.00B 定义构建参数
ARG GET_PIP_URL
                        
# 2026-04-24 14:21:19  0.00B 定义构建参数
ARG DEADSNAKES_GPGKEY_URL
                        
# 2026-04-24 14:21:19  0.00B 定义构建参数
ARG DEADSNAKES_MIRROR_URL
                        
# 2026-04-24 14:21:19  0.00B 定义构建参数
ARG PYTHON_VERSION
                        
# 2026-04-24 14:21:19  0.00B 定义构建参数
ARG CUDA_VERSION
                        
# 2025-09-09 01:23:07  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2025-09-09 01:23:07  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2025-09-09 01:23:07  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2025-09-09 01:23:07  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
                        
# 2025-09-09 01:23:07  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
                        
# 2025-09-09 01:23:07  22.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/cuda/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
                        
# 2025-09-09 01:23:07  322.88MB 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-13-0=${NV_CUDA_CUDART_VERSION}     cuda-compat-13-0     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-09-09 01:23:07  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=13.0.1
                        
# 2025-09-09 01:23:07  10.60MB 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 -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
                        
# 2025-09-09 01:23:07  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-09-09 01:23:07  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-09-09 01:23:07  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=13.0.88-1
                        
# 2025-09-09 01:23:07  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>=13.0 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 brand=unknown,driver>=565,driver<566 brand=grid,driver>=565,driver<566 brand=tesla,driver>=565,driver<566 brand=nvidia,driver>=565,driver<566 brand=quadro,driver>=565,driver<566 brand=quadrortx,driver>=565,driver<566 brand=nvidiartx,driver>=565,driver<566 brand=vapps,driver>=565,driver<566 brand=vpc,driver>=565,driver<566 brand=vcs,driver>=565,driver<566 brand=vws,driver>=565,driver<566 brand=cloudgaming,driver>=565,driver<566 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>=575,driver<576 brand=grid,driver>=575,driver<576 brand=tesla,driver>=575,driver<576 brand=nvidia,driver>=575,driver<576 brand=quadro,driver>=575,driver<576 brand=quadrortx,driver>=575,driver<576 brand=nvidiartx,driver>=575,driver<576 brand=vapps,driver>=575,driver<576 brand=vpc,driver>=575,driver<576 brand=vcs,driver>=575,driver<576 brand=vws,driver>=575,driver<576 brand=cloudgaming,driver>=575,driver<576
                        
# 2025-09-09 01:23:07  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2025-08-20 01:17:10  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-08-20 01:17:10  77.87MB 
/bin/sh -c #(nop) ADD file:9303cc1f788d2a9a8f909b154339f7c637b2a53c75c0e7f3da62eb1fefe371b1 in / 
                        
# 2025-08-20 01:17:08  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2025-08-20 01:17:08  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2025-08-20 01:17:08  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2025-08-20 01:17:08  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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    "Comment": "buildkit.dockerfile.v0",
    "Created": "2026-04-24T06:54:03.828829529Z",
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    "DockerVersion": "",
    "Author": "",
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        "Domainname": "",
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            "CUDA_VERSION=13.0.1",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "DEBIAN_FRONTEND=noninteractive",
            "UV_HTTP_TIMEOUT=500",
            "UV_INDEX_STRATEGY=unsafe-best-match",
            "UV_LINK_MODE=copy",
            "VLLM_ENABLE_CUDA_COMPATIBILITY=0",
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    }
}

更多版本

docker.io/vllm/vllm-openai:v0.5.4

linux/amd64 docker.io9.90GB2024-09-07 06:20
3341

docker.io/vllm/vllm-openai:v0.6.0

linux/amd64 docker.io9.72GB2024-09-11 01:51
1854

docker.io/vllm/vllm-openai:v0.6.1.post2

linux/amd64 docker.io9.81GB2024-09-24 01:43
1404

docker.io/vllm/vllm-openai:latest

linux/amd64 docker.io10.24GB2024-10-11 00:43
9213

docker.io/vllm/vllm-openai:v0.6.4.post1

linux/amd64 docker.io10.64GB2024-11-19 00:42
1504

docker.io/vllm/vllm-openai:v0.6.4

linux/amd64 docker.io10.64GB2024-12-11 02:08
1176

docker.io/vllm/vllm-openai:v0.6.3

linux/amd64 docker.io10.43GB2024-12-12 02:41
1489

docker.io/vllm/vllm-openai:v0.6.6

linux/amd64 docker.io10.23GB2025-01-04 00:37
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docker.io/vllm/vllm-openai:v0.6.6.post1

linux/amd64 docker.io10.23GB2025-01-24 00:21
1596

docker.io/vllm/vllm-openai:v0.7.1

linux/amd64 docker.io16.53GB2025-02-08 02:05
1424

docker.io/vllm/vllm-openai:v0.7.2

linux/amd64 docker.io16.53GB2025-02-09 00:28
3297

docker.io/vllm/vllm-openai:v0.7.3

linux/amd64 docker.io16.43GB2025-02-24 00:50
4087

docker.io/vllm/vllm-openai:v0.8.0

linux/amd64 docker.io16.62GB2025-03-20 00:23
1681

docker.io/vllm/vllm-openai:v0.8.1

linux/amd64 docker.io16.62GB2025-03-21 00:28
1388

docker.io/vllm/vllm-openai:v0.8.2

linux/amd64 docker.io16.92GB2025-03-27 01:12
1615

docker.io/vllm/vllm-openai:v0.8.3

linux/amd64 docker.io17.13GB2025-04-08 00:58
1656

docker.io/vllm/vllm-openai:v0.8.4

linux/amd64 docker.io17.16GB2025-04-17 01:16
2161

docker.io/vllm/vllm-openai:v0.8.5

linux/amd64 docker.io17.30GB2025-04-30 02:45
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docker.io/vllm/vllm-openai:v0.8.5.post1

linux/amd64 docker.io17.30GB2025-05-07 02:06
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docker.io/vllm/vllm-openai:v0.9.0.1

linux/amd64 docker.io20.81GB2025-06-05 01:12
2661

docker.io/vllm/vllm-openai:v0.9.1

linux/amd64 docker.io20.85GB2025-06-12 01:29
3286

docker.io/vllm/vllm-openai:v0.9.2

linux/amd64 docker.io20.76GB2025-07-09 03:00
8031

docker.io/vllm/vllm-openai:v0.10.0

linux/amd64 docker.io26.13GB2025-07-26 03:15
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docker.io/vllm/vllm-openai:gptoss

linux/amd64 docker.io33.86GB2025-08-07 01:52
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docker.io/vllm/vllm-openai:v0.10.1

linux/amd64 docker.io20.25GB2025-08-20 03:05
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docker.io/vllm/vllm-openai:v0.10.1.1

linux/amd64 docker.io20.26GB2025-08-23 01:43
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docker.io/vllm/vllm-openai:v0.10.2

linux/amd64 docker.io22.49GB2025-09-16 03:40
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docker.io/vllm/vllm-openai:v0.2.7

linux/amd64 docker.io6.34GB2025-10-01 01:07
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docker.io/vllm/vllm-openai:v0.11.0-x86_64

linux/amd64 docker.io25.86GB2025-10-09 02:14
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docker.io/vllm/vllm-openai:v0.10.2-x86_64

linux/amd64 docker.io22.49GB2025-10-09 02:22
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docker.io/vllm/vllm-openai:v0.11.0

linux/amd64 docker.io25.86GB2025-10-09 11:24
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docker.io/vllm/vllm-openai:v0.11.0

linux/arm64 docker.io24.17GB2025-10-30 00:47
1172

docker.io/vllm/vllm-openai:v0.3.3

linux/amd64 docker.io9.13GB2025-11-18 01:01
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docker.io/vllm/vllm-openai:v0.11.1

linux/amd64 docker.io28.72GB2025-11-21 01:03
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docker.io/vllm/vllm-openai:v0.11.2

linux/amd64 docker.io28.82GB2025-11-22 00:46
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docker.io/vllm/vllm-openai:v0.11.1

linux/arm64 docker.io26.54GB2025-11-22 01:23
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linux/amd64 docker.io9.88GB2025-11-22 01:58
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docker.io/vllm/vllm-openai:v0.11.2

linux/arm64 docker.io26.54GB2025-11-22 04:06
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linux/amd64 docker.io18.74GB2025-12-03 02:43
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linux/amd64 docker.io19.51GB2026-01-22 01:41
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docker.io/vllm/vllm-openai:v0.14.0

linux/amd64 docker.io19.66GB2026-01-22 03:16
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docker.io/vllm/vllm-openai:v0.14.1

linux/amd64 docker.io19.69GB2026-01-27 01:52
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docker.io/vllm/vllm-openai:v0.15.0

linux/amd64 docker.io20.13GB2026-01-31 00:51
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docker.io/vllm/vllm-openai:v0.15.1

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linux/arm64 docker.io19.60GB2026-02-10 00:44
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linux/amd64 docker.io19.55GB2026-03-10 01:39
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linux/arm64 docker.io21.50GB2026-03-11 01:42
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docker.io/vllm/vllm-openai:v0.17.1

linux/amd64 docker.io20.75GB2026-03-14 02:34
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docker.io/vllm/vllm-openai:v0.14.0

linux/arm64 docker.io20.19GB2026-03-17 02:20
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docker.io/vllm/vllm-openai:v0.18.0

linux/amd64 docker.io22.40GB2026-03-23 01:43
956

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linux/amd64 docker.io19.65GB2026-03-24 01:29
725

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linux/amd64 docker.io3.48GB2026-03-28 10:31
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docker.io/vllm/vllm-openai-cpu:latest-arm64

linux/arm64 docker.io2.23GB2026-03-28 10:34
213

docker.io/vllm/vllm-openai-rocm:latest

linux/amd64 docker.io24.49GB2026-03-30 00:46
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docker.io/vllm/vllm-openai:latest-cu130

linux/amd64 docker.io19.65GB2026-03-31 00:47
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docker.io/vllm/vllm-openai:v0.18.1-cu130

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docker.io/vllm/vllm-openai:v0.18.1

linux/amd64 docker.io22.41GB2026-04-02 01:12
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linux/amd64 docker.io22.35GB2026-04-04 02:18
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docker.io/vllm/vllm-openai:gemma4-cu130

linux/amd64 docker.io21.18GB2026-04-04 03:13
1513

docker.io/vllm/vllm-openai:v0.19.0

linux/amd64 docker.io22.41GB2026-04-04 03:47
1025

docker.io/vllm/vllm-openai-cpu:v0.19.0

linux/amd64 docker.io3.49GB2026-04-06 07:48
417

docker.io/vllm/vllm-openai-cpu:v0.19.0

linux/arm64 docker.io2.25GB2026-04-06 07:51
274

docker.io/vllm/vllm-openai:v0.19.0-cu130-ubuntu2404

linux/amd64 docker.io19.74GB2026-04-08 03:21
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docker.io/vllm/vllm-openai:gemma4

linux/amd64 docker.io23.92GB2026-04-09 00:39
658
372

docker.io/vllm/vllm-openai:qwen3_5-cu130

linux/amd64 docker.io19.60GB2026-04-11 00:51
422

docker.io/vllm/vllm-openai:v0.19.0-cu130

linux/amd64 docker.io19.66GB2026-04-12 00:29
356

docker.io/vllm/vllm-openai:gemma4-0409-x86_64-cu130

linux/amd64 docker.io19.72GB2026-04-12 01:06
433

docker.io/vllm/vllm-openai:gemma4-cu130

linux/arm64 docker.io20.43GB2026-04-13 01:49
474

docker.io/vllm/vllm-openai:v0.19.0-cu130

linux/arm64 docker.io20.37GB2026-04-13 02:18
355

docker.io/vllm/vllm-openai:gemma4

linux/arm64 docker.io23.20GB2026-04-13 03:21
313

docker.io/vllm/vllm-openai:cu130-nightly-aarch64

linux/arm64 docker.io21.48GB2026-04-14 00:35
370

docker.io/vllm/vllm-openai:minimax27

linux/amd64 docker.io24.06GB2026-04-14 01:09
404

docker.io/vllm/vllm-openai:glm51

linux/amd64 docker.io22.46GB2026-04-16 03:22
434

docker.io/vllm/vllm-openai:glm51

linux/arm64 docker.io23.19GB2026-04-17 01:16
169

docker.io/vllm/vllm-openai:glm51-cu130

linux/amd64 docker.io19.71GB2026-04-17 01:41
389

docker.io/vllm/vllm-openai-cpu:v0.19.0-x86_64

linux/amd64 docker.io3.49GB2026-04-17 23:45
279
162

docker.io/vllm/vllm-openai:v0.19.1-cu130

linux/amd64 docker.io19.60GB2026-04-20 00:28
1040