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docker.io/vllm/vllm-openai:v0.12.0-aarch64 linux/arm64

docker.io/vllm/vllm-openai:v0.12.0-aarch64 - 国内下载镜像源 浏览次数:577 温馨提示: 这是一个 linux/arm64 系统架构镜像
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:v0.12.0-aarch64
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai:v0.12.0-aarch64-linuxarm64
镜像ID sha256:0ceba6365d2b5fcf76605a913b8f8e09bc3759ba67ef36fd21119693701e0289
镜像TAG v0.12.0-aarch64-linuxarm64
大小 17.89GB
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/arm64
浏览量 577 次
贡献者
镜像创建 2025-12-03T09:04:01.019137769Z
同步时间 2025-12-05 03:12
环境变量
PATH=/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin NVARCH=sbsa NVIDIA_REQUIRE_CUDA=cuda>=12.9 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>=560,driver<561 brand=grid,driver>=560,driver<561 brand=tesla,driver>=560,driver<561 brand=nvidia,driver>=560,driver<561 brand=quadro,driver>=560,driver<561 brand=quadrortx,driver>=560,driver<561 brand=nvidiartx,driver>=560,driver<561 brand=vapps,driver>=560,driver<561 brand=vpc,driver>=560,driver<561 brand=vcs,driver>=560,driver<561 brand=vws,driver>=560,driver<561 brand=cloudgaming,driver>=560,driver<561 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 NV_CUDA_CUDART_VERSION=12.9.79-1 CUDA_VERSION=12.9.1 LD_LIBRARY_PATH=/usr/local/nvidia/lib64:/usr/local/cuda/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_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:v0.12.0-aarch64-linuxarm64
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai:v0.12.0-aarch64-linuxarm64  docker.io/vllm/vllm-openai:v0.12.0-aarch64

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai:v0.12.0-aarch64-linuxarm64
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai:v0.12.0-aarch64-linuxarm64  docker.io/vllm/vllm-openai:v0.12.0-aarch64

Shell快速替换命令

sed -i 's#vllm/vllm-openai:v0.12.0-aarch64#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai:v0.12.0-aarch64-linuxarm64#' 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:v0.12.0-aarch64-linuxarm64 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai:v0.12.0-aarch64-linuxarm64  docker.io/vllm/vllm-openai:v0.12.0-aarch64'

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:v0.12.0-aarch64-linuxarm64 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai:v0.12.0-aarch64-linuxarm64  docker.io/vllm/vllm-openai:v0.12.0-aarch64'

镜像构建历史


# 2025-12-03 17:04:01  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["vllm" "serve"]
                        
# 2025-12-03 17:04:01  0.00B 设置环境变量 VLLM_USAGE_SOURCE
ENV VLLM_USAGE_SOURCE=production-docker-image
                        
# 2025-12-03 17:04:01  667.55MB 执行命令并创建新的镜像层
RUN |6 TARGETPLATFORM=linux/arm64 INSTALL_KV_CONNECTORS=true PIP_INDEX_URL= UV_INDEX_URL= PIP_EXTRA_INDEX_URL= UV_EXTRA_INDEX_URL= /bin/bash -c if [ "$INSTALL_KV_CONNECTORS" = "true" ]; then         uv pip install --system -r /tmp/kv_connectors.txt;     fi;     if [ "$TARGETPLATFORM" = "linux/arm64" ]; then         BITSANDBYTES_VERSION="0.42.0";     else         BITSANDBYTES_VERSION="0.46.1";     fi;     uv pip install --system accelerate hf_transfer modelscope "bitsandbytes>=${BITSANDBYTES_VERSION}" 'timm>=1.0.17' 'runai-model-streamer[s3,gcs]>=0.15.0' # buildkit
                        
# 2025-12-03 17:03:32  0.00B 设置环境变量 UV_HTTP_TIMEOUT
ENV UV_HTTP_TIMEOUT=500
                        
# 2025-12-03 17:03:32  0.00B 定义构建参数
ARG PIP_EXTRA_INDEX_URL UV_EXTRA_INDEX_URL
                        
# 2025-12-03 17:03:32  0.00B 定义构建参数
ARG PIP_INDEX_URL UV_INDEX_URL
                        
# 2025-12-03 17:03:32  0.00B 定义构建参数
ARG INSTALL_KV_CONNECTORS=false
                        
# 2025-12-03 17:03:32  0.00B 定义构建参数
ARG TARGETPLATFORM
                        
# 2025-12-03 17:03:32  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/cuda/lib64
                        
# 2025-12-03 17:03:32  2.41MB 执行命令并创建新的镜像层
RUN |16 CUDA_VERSION=12.9.1 PYTHON_VERSION=3.12 INSTALL_KV_CONNECTORS=true TARGETPLATFORM=linux/arm64 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu22_04 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py 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 /bin/bash -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}" # buildkit
                        
# 2025-12-03 17:03:23  151.59MB 执行命令并创建新的镜像层
RUN |16 CUDA_VERSION=12.9.1 PYTHON_VERSION=3.12 INSTALL_KV_CONNECTORS=true TARGETPLATFORM=linux/arm64 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu22_04 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py 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 /bin/bash -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
                        
# 2025-12-03 17:03:20  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda/lib64
                        
# 2025-12-03 17:03:20  46.97MB 执行命令并创建新的镜像层
RUN |16 CUDA_VERSION=12.9.1 PYTHON_VERSION=3.12 INSTALL_KV_CONNECTORS=true TARGETPLATFORM=linux/arm64 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu22_04 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py 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 /bin/bash -c sh -c 'if ls /tmp/deepgemm/dist/*.whl >/dev/null 2>&1; then               uv pip install --system /tmp/deepgemm/dist/*.whl;            else               echo "No DeepGEMM wheels to install; skipping.";            fi' # buildkit
                        
# 2025-12-03 17:03:19  0.00B 执行命令并创建新的镜像层
RUN |16 CUDA_VERSION=12.9.1 PYTHON_VERSION=3.12 INSTALL_KV_CONNECTORS=true TARGETPLATFORM=linux/arm64 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu22_04 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py 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 /bin/bash -c . /etc/environment && uv pip list # buildkit
                        
# 2025-12-03 17:03:19  28.05KB 复制新文件或目录到容器中
COPY ./vllm/collect_env.py . # buildkit
                        
# 2025-12-03 17:03:19  753.06KB 复制新文件或目录到容器中
COPY benchmarks benchmarks # buildkit
                        
# 2025-12-03 17:03:19  981.40KB 复制新文件或目录到容器中
COPY examples examples # buildkit
                        
# 2025-12-03 17:03:19  4.88GB 执行命令并创建新的镜像层
RUN |16 CUDA_VERSION=12.9.1 PYTHON_VERSION=3.12 INSTALL_KV_CONNECTORS=true TARGETPLATFORM=linux/arm64 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu22_04 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py 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 /bin/bash -c uv pip install --system flashinfer-cubin==0.5.3     && uv pip install --system flashinfer-jit-cache==0.5.3         --extra-index-url https://flashinfer.ai/whl/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.')     && flashinfer show-config # buildkit
                        
# 2025-12-03 17:01:26  8.95GB 执行命令并创建新的镜像层
RUN |16 CUDA_VERSION=12.9.1 PYTHON_VERSION=3.12 INSTALL_KV_CONNECTORS=true TARGETPLATFORM=linux/arm64 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu22_04 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py 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 /bin/bash -c 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 '.') # buildkit
                        
# 2025-12-03 16:38:04  48.70KB 执行命令并创建新的镜像层
RUN |16 CUDA_VERSION=12.9.1 PYTHON_VERSION=3.12 INSTALL_KV_CONNECTORS=true TARGETPLATFORM=linux/arm64 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu22_04 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py 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 /bin/bash -c ldconfig /usr/local/cuda-$(echo $CUDA_VERSION | cut -d. -f1,2)/compat/ # buildkit
                        
# 2025-12-03 16:38:03  0.00B 设置环境变量 UV_LINK_MODE
ENV UV_LINK_MODE=copy
                        
# 2025-12-03 16:38:03  0.00B 设置环境变量 UV_INDEX_STRATEGY
ENV UV_INDEX_STRATEGY=unsafe-best-match
                        
# 2025-12-03 16:38:03  0.00B 设置环境变量 UV_HTTP_TIMEOUT
ENV UV_HTTP_TIMEOUT=500
                        
# 2025-12-03 16:38:03  67.72MB 执行命令并创建新的镜像层
RUN |16 CUDA_VERSION=12.9.1 PYTHON_VERSION=3.12 INSTALL_KV_CONNECTORS=true TARGETPLATFORM=linux/arm64 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu22_04 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py 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 /bin/bash -c python3 -m pip install uv # buildkit
                        
# 2025-12-03 16:38:01  0.00B 定义构建参数
ARG PIP_KEYRING_PROVIDER UV_KEYRING_PROVIDER
                        
# 2025-12-03 16:38:01  0.00B 定义构建参数
ARG PYTORCH_CUDA_INDEX_BASE_URL
                        
# 2025-12-03 16:38:01  0.00B 定义构建参数
ARG PIP_EXTRA_INDEX_URL UV_EXTRA_INDEX_URL
                        
# 2025-12-03 16:38:01  0.00B 定义构建参数
ARG PIP_INDEX_URL UV_INDEX_URL
                        
# 2025-12-03 16:38:01  2.16GB 执行命令并创建新的镜像层
RUN |9 CUDA_VERSION=12.9.1 PYTHON_VERSION=3.12 INSTALL_KV_CONNECTORS=true TARGETPLATFORM=linux/arm64 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu22_04 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py /bin/bash -c CUDA_VERSION_DASH=$(echo $CUDA_VERSION | cut -d. -f1,2 | tr '.' '-') &&     apt-get update -y &&     apt-get install -y --no-install-recommends     cuda-nvcc-${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}     libnccl-dev &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-12-03 16:36:59  584.78MB 执行命令并创建新的镜像层
RUN |9 CUDA_VERSION=12.9.1 PYTHON_VERSION=3.12 INSTALL_KV_CONNECTORS=true TARGETPLATFORM=linux/arm64 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu22_04 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py /bin/bash -c echo 'tzdata tzdata/Areas select America' | debconf-set-selections     && echo 'tzdata tzdata/Zones/America select Los_Angeles' | debconf-set-selections     && apt-get update -y     && apt-get install -y --no-install-recommends         software-properties-common         curl         sudo         python3-pip         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     && curl -sS ${GET_PIP_URL} | python${PYTHON_VERSION}     && python3 --version && python3 -m pip --version # buildkit
                        
# 2025-12-03 16:34:11  136.00B 执行命令并创建新的镜像层
RUN |9 CUDA_VERSION=12.9.1 PYTHON_VERSION=3.12 INSTALL_KV_CONNECTORS=true TARGETPLATFORM=linux/arm64 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu22_04 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py /bin/bash -c PYTHON_VERSION_STR=$(echo ${PYTHON_VERSION} | sed 's/\.//g') &&     echo "export PYTHON_VERSION_STR=${PYTHON_VERSION_STR}" >> /etc/environment # buildkit
                        
# 2025-12-03 16:33:17  0.00B 定义构建参数
ARG GET_PIP_URL
                        
# 2025-12-03 16:33:17  0.00B 定义构建参数
ARG DEADSNAKES_GPGKEY_URL
                        
# 2025-12-03 16:33:17  0.00B 定义构建参数
ARG DEADSNAKES_MIRROR_URL
                        
# 2025-12-03 16:33:17  0.00B 
SHELL [/bin/bash -c]
                        
# 2025-12-03 16:33:17  0.00B 定义构建参数
ARG GDRCOPY_OS_VERSION=Ubuntu22_04
                        
# 2025-12-03 16:33:17  0.00B 定义构建参数
ARG GDRCOPY_CUDA_VERSION=12.8
                        
# 2025-12-03 16:33:17  0.00B 定义构建参数
ARG TARGETPLATFORM
                        
# 2025-12-03 16:33:17  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2025-12-03 16:33:17  0.00B 设置工作目录为/vllm-workspace
WORKDIR /vllm-workspace
                        
# 2025-12-03 16:33:17  0.00B 定义构建参数
ARG INSTALL_KV_CONNECTORS=false
                        
# 2025-12-03 16:33:17  0.00B 定义构建参数
ARG PYTHON_VERSION
                        
# 2025-12-03 16:33:17  0.00B 定义构建参数
ARG CUDA_VERSION
                        
# 2025-07-19 04:13:38  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2025-07-19 04:13:38  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2025-07-19 04:13:38  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2025-07-19 04:13:38  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64
                        
# 2025-07-19 04:13:38  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-07-19 04:13:38  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
                        
# 2025-07-19 04:13:38  293.79MB 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-12-9=${NV_CUDA_CUDART_VERSION}     cuda-compat-12-9     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-07-19 04:12:35  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.9.1
                        
# 2025-07-19 04:12:35  10.22MB 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/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
                        
# 2025-07-19 04:12:35  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-07-19 04:12:35  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-07-19 04:12:35  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.9.79-1
                        
# 2025-07-19 04:12:35  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>=12.9 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>=560,driver<561 brand=grid,driver>=560,driver<561 brand=tesla,driver>=560,driver<561 brand=nvidia,driver>=560,driver<561 brand=quadro,driver>=560,driver<561 brand=quadrortx,driver>=560,driver<561 brand=nvidiartx,driver>=560,driver<561 brand=vapps,driver>=560,driver<561 brand=vpc,driver>=560,driver<561 brand=vcs,driver>=560,driver<561 brand=vws,driver>=560,driver<561 brand=cloudgaming,driver>=560,driver<561 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
                        
# 2025-07-19 04:12:35  0.00B 设置环境变量 NVARCH
ENV NVARCH=sbsa
                        
# 2025-07-15 00:34:17  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-07-15 00:34:16  69.24MB 
/bin/sh -c #(nop) ADD file:834c1c2a4c7753a37759a9b21f64a990572643eee18669b1faa782fee45355ed in / 
                        
# 2025-07-15 00:34:14  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2025-07-15 00:34:14  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2025-07-15 00:34:14  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2025-07-15 00:34:14  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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}

更多版本

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linux/amd64 docker.io9.90GB2024-09-07 06:20
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docker.io/vllm/vllm-openai:v0.6.0

linux/amd64 docker.io9.72GB2024-09-11 01:51
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docker.io/vllm/vllm-openai:v0.6.1.post2

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docker.io/vllm/vllm-openai:latest

linux/amd64 docker.io10.24GB2024-10-11 00:43
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docker.io/vllm/vllm-openai:v0.6.4.post1

linux/amd64 docker.io10.64GB2024-11-19 00:42
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docker.io/vllm/vllm-openai:v0.6.4

linux/amd64 docker.io10.64GB2024-12-11 02:08
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docker.io/vllm/vllm-openai:v0.6.3

linux/amd64 docker.io10.43GB2024-12-12 02:41
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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
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docker.io/vllm/vllm-openai:v0.7.1

linux/amd64 docker.io16.53GB2025-02-08 02:05
1272

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

linux/amd64 docker.io16.53GB2025-02-09 00:28
3007

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

linux/amd64 docker.io16.43GB2025-02-24 00:50
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docker.io/vllm/vllm-openai:v0.8.0

linux/amd64 docker.io16.62GB2025-03-20 00:23
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docker.io/vllm/vllm-openai:v0.8.1

linux/amd64 docker.io16.62GB2025-03-21 00:28
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docker.io/vllm/vllm-openai:v0.8.2

linux/amd64 docker.io16.92GB2025-03-27 01:12
1483

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

linux/amd64 docker.io17.13GB2025-04-08 00:58
1511

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

linux/amd64 docker.io17.16GB2025-04-17 01:16
1960

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
2303

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

linux/amd64 docker.io20.85GB2025-06-12 01:29
3040

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

linux/amd64 docker.io20.76GB2025-07-09 03:00
7236

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
598

docker.io/vllm/vllm-openai:v0.11.0

linux/amd64 docker.io25.86GB2025-10-09 11:24
2402

docker.io/vllm/vllm-openai:v0.11.0

linux/arm64 docker.io24.17GB2025-10-30 00:47
1019

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

linux/amd64 docker.io9.13GB2025-11-18 01:01
393

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
1502

docker.io/vllm/vllm-openai:v0.11.1

linux/arm64 docker.io26.54GB2025-11-22 01:23
456

docker.io/vllm/vllm-openai:v0.4.0

linux/amd64 docker.io9.88GB2025-11-22 01:58
455

docker.io/vllm/vllm-openai:v0.11.2

linux/arm64 docker.io26.54GB2025-11-22 04:06
649

docker.io/vllm/vllm-openai:nightly

linux/amd64 docker.io18.74GB2025-12-03 02:43
1470

docker.io/vllm/vllm-openai:v0.12.0-aarch64

linux/arm64 docker.io17.89GB2025-12-05 03:12
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docker.io/vllm/vllm-openai:v0.12.0

linux/amd64 docker.io19.47GB2025-12-05 03:59
1972

docker.io/vllm/vllm-openai:v0.13.0

linux/amd64 docker.io19.51GB2026-01-22 01:41
641

docker.io/vllm/vllm-openai:v0.14.0

linux/amd64 docker.io19.66GB2026-01-22 03:16
630

docker.io/vllm/vllm-openai:v0.14.1

linux/amd64 docker.io19.69GB2026-01-27 01:52
788

docker.io/vllm/vllm-openai:v0.15.0

linux/amd64 docker.io20.13GB2026-01-31 00:51
909
550

docker.io/vllm/vllm-openai:v0.15.1

linux/amd64 docker.io20.14GB2026-02-06 01:14
867

docker.io/vllm/vllm-openai:v0.15.1-cu130

linux/amd64 docker.io18.77GB2026-02-07 00:39
766

docker.io/vllm/vllm-openai:latest

linux/arm64 docker.io20.65GB2026-02-08 00:59
462

docker.io/vllm/vllm-openai:v0.15.1-aarch64-cu130

linux/arm64 docker.io19.60GB2026-02-10 00:44
626

docker.io/vllm/vllm-openai:glm5

linux/amd64 docker.io20.27GB2026-02-14 00:56
422

docker.io/vllm/vllm-openai:qwen3_5

linux/amd64 docker.io20.93GB2026-02-25 01:18
1280

docker.io/vllm/vllm-openai:qwen3_5-x86_64-cu129

linux/amd64 docker.io20.93GB2026-02-27 00:33
535
348

docker.io/vllm/vllm-openai:v0.16.0

linux/amd64 docker.io20.37GB2026-02-28 01:04
707

docker.io/vllm/vllm-openai:v0.16.0-cu130

linux/amd64 docker.io19.01GB2026-02-28 02:55
483
349

docker.io/vllm/vllm-openai:v0.5.1

linux/amd64 docker.io10.40GB2026-03-06 01:01
145

docker.io/vllm/vllm-openai:v0.4.0.post1

linux/amd64 docker.io9.88GB2026-03-06 01:29
174

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

linux/amd64 docker.io19.55GB2026-03-06 02:04
386
241

docker.io/vllm/vllm-openai:v0.17.0

linux/amd64 docker.io20.75GB2026-03-08 02:27
1159

docker.io/vllm/vllm-openai:v0.17.0-cu130

linux/amd64 docker.io19.55GB2026-03-10 01:39
318

docker.io/vllm/vllm-openai:v0.17.0

linux/arm64 docker.io21.50GB2026-03-11 01:42
388

docker.io/vllm/vllm-openai:v0.4.3

linux/amd64 docker.io7.86GB2026-03-11 02:04
148

docker.io/vllm/vllm-openai:v0.13.0

linux/arm64 docker.io17.98GB2026-03-11 03:52
150

docker.io/vllm/vllm-openai:v0.17.1-cu130

linux/amd64 docker.io19.55GB2026-03-13 02:22
441

docker.io/vllm/vllm-openai:v0.17.1

linux/amd64 docker.io20.75GB2026-03-14 02:34
623

docker.io/vllm/vllm-openai:v0.14.0

linux/arm64 docker.io20.19GB2026-03-17 02:20
164

docker.io/vllm/vllm-openai:v0.18.0

linux/amd64 docker.io22.40GB2026-03-23 01:43
695

docker.io/vllm/vllm-openai:v0.18.0-cu130

linux/amd64 docker.io19.65GB2026-03-24 01:29
500

docker.io/vllm/vllm-openai-cpu:latest-x86_64

linux/amd64 docker.io3.48GB2026-03-28 10:31
117

docker.io/vllm/vllm-openai-cpu:latest-arm64

linux/arm64 docker.io2.23GB2026-03-28 10:34
114

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

linux/amd64 docker.io24.49GB2026-03-30 00:46
143

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

linux/amd64 docker.io19.65GB2026-03-31 00:47
265

docker.io/vllm/vllm-openai:v0.18.1-cu130

linux/amd64 docker.io19.66GB2026-04-02 00:39
167

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

linux/amd64 docker.io22.41GB2026-04-02 01:12
248

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

linux/amd64 docker.io22.35GB2026-04-04 02:18
263

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

linux/amd64 docker.io21.18GB2026-04-04 03:13
761

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

linux/amd64 docker.io22.41GB2026-04-04 03:47
609

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

linux/amd64 docker.io3.49GB2026-04-06 07:48
204

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

linux/arm64 docker.io2.25GB2026-04-06 07:51
96

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

linux/amd64 docker.io19.74GB2026-04-08 03:21
247

docker.io/vllm/vllm-openai:gemma4

linux/amd64 docker.io23.92GB2026-04-09 00:39
265
103

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

linux/amd64 docker.io19.60GB2026-04-11 00:51
132

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

linux/amd64 docker.io19.66GB2026-04-12 00:29
167

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

linux/amd64 docker.io19.72GB2026-04-12 01:06
110

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

linux/arm64 docker.io20.43GB2026-04-13 01:49
106

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

linux/arm64 docker.io20.37GB2026-04-13 02:18
175

docker.io/vllm/vllm-openai:gemma4

linux/arm64 docker.io23.20GB2026-04-13 03:21
129

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

linux/arm64 docker.io21.48GB2026-04-14 00:35
88

docker.io/vllm/vllm-openai:minimax27

linux/amd64 docker.io24.06GB2026-04-14 01:09
87

docker.io/vllm/vllm-openai:glm51

linux/amd64 docker.io22.46GB2026-04-16 03:22
62

docker.io/vllm/vllm-openai:glm51

linux/arm64 docker.io23.19GB2026-04-17 01:16
35

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

linux/amd64 docker.io19.71GB2026-04-17 01:41
47

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

linux/amd64 docker.io3.49GB2026-04-17 23:45
36
24

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

linux/amd64 docker.io19.60GB2026-04-20 00:28
35