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docker.io/vllm/vllm-openai:v0.29.0-ubuntu2404
linux/amd64 docker.io
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。

129
浏览次数
21.46GB
镜像大小
国内镜像
swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai:v0.29.0-ubuntu2404
源镜像
docker.io/vllm/vllm-openai:v0.29.0-ubuntu2404
镜像ID
sha256:ac07d73b6bc0e155b76655bf0e7776341e90caad609093c56c8543779a37a81d
镜像 TAG
v0.29.0-ubuntu2404
镜像大小
21.46GB
平台架构
linux/amd64
镜像源
docker.io
CMD
启动入口
vllm serve
工作目录
/vllm-workspace
OS/平台
linux/amd64
镜像创建
2026-09-09T02:09:02.904184458Z
同步时间
2026-09-10 02:23
浏览量
129 次
贡献者
⚙️ 环境变量 22
KeyValue
PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 0
NVARCH=x86_64 1
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 2
NV_CUDA_CUDART_VERSION=13.0.96-1 3
CUDA_VERSION=13.0.2 4
LD_LIBRARY_PATH=/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64 5
NVIDIA_VISIBLE_DEVICES=all 6
NVIDIA_DRIVER_CAPABILITIES=compute,utility 7
DEBIAN_FRONTEND=noninteractive 8
UV_HTTP_TIMEOUT=500 9
UV_INDEX_STRATEGY=unsafe-best-match 10
UV_LINK_MODE=copy 11
UV_PYTHON_INSTALL_DIR=/opt/uv/python 12
UV_CACHE_DIR=/opt/uv/cache 13
UV_OVERRIDE=/etc/uv-overrides.txt 14
VLLM_ENABLE_CUDA_COMPATIBILITY=0 15
TORCH_CUDA_ARCH_LIST=7.5 8.0 8.6 8.9 9.0 10.0 12.0 16
VLLM_USAGE_SOURCE=production-docker-image 17
VLLM_BUILD_COMMIT=98dff2a81d747d1dba01a47f939f48c3526d4206 18
VLLM_BUILD_PIPELINE=019d130e-464e-4ff7-b84b-492992c0c06b 19
VLLM_BUILD_URL=https://buildkite.com/vllm/release-v2/builds/6292 20
VLLM_IMAGE_TAG=vllm/vllm-openai:v0.29.0-ubuntu2404 21
🏷️ 镜像标签 10
KeyValue
98dff2a81d747d1dba01a47f939f48c3526d4206 ai.vllm.build.commit
019d130e-464e-4ff7-b84b-492992c0c06b ai.vllm.build.pipeline
https://buildkite.com/vllm/release-v2/builds/6292 ai.vllm.build.url
vllm/vllm-openai:v0.29.0-ubuntu2404 ai.vllm.image.tag
NVIDIA CORPORATION <cudatools@nvidia.com> maintainer
ubuntu org.opencontainers.image.ref.name
98dff2a81d747d1dba01a47f939f48c3526d4206 org.opencontainers.image.revision
https://github.com/vllm-project/vllm org.opencontainers.image.source
https://buildkite.com/vllm/release-v2/builds/6292 org.opencontainers.image.url
vllm/vllm-openai:v0.29.0-ubuntu2404 org.opencontainers.image.version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai:v0.29.0-ubuntu2404
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai:v0.29.0-ubuntu2404  docker.io/vllm/vllm-openai:v0.29.0-ubuntu2404

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai:v0.29.0-ubuntu2404
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai:v0.29.0-ubuntu2404  docker.io/vllm/vllm-openai:v0.29.0-ubuntu2404

Shell快速替换命令

sed -i 's#vllm/vllm-openai:v0.29.0-ubuntu2404#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai:v0.29.0-ubuntu2404#' 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:v0.29.0-ubuntu2404 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai:v0.29.0-ubuntu2404  docker.io/vllm/vllm-openai:v0.29.0-ubuntu2404'

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:v0.29.0-ubuntu2404 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai:v0.29.0-ubuntu2404  docker.io/vllm/vllm-openai:v0.29.0-ubuntu2404'

镜像构建历史


# 2026-09-09 10:09:02  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["vllm" "serve"]
                        
# 2026-09-09 10:09:02  0.00B 添加元数据标签
LABEL org.opencontainers.image.source=https://github.com/vllm-project/vllm org.opencontainers.image.revision=98dff2a81d747d1dba01a47f939f48c3526d4206 org.opencontainers.image.version=vllm/vllm-openai:v0.29.0-ubuntu2404 org.opencontainers.image.url=https://buildkite.com/vllm/release-v2/builds/6292 ai.vllm.build.commit=98dff2a81d747d1dba01a47f939f48c3526d4206 ai.vllm.build.pipeline=019d130e-464e-4ff7-b84b-492992c0c06b ai.vllm.build.url=https://buildkite.com/vllm/release-v2/builds/6292 ai.vllm.image.tag=vllm/vllm-openai:v0.29.0-ubuntu2404
                        
# 2026-09-09 10:09:02  0.00B 设置环境变量 VLLM_BUILD_COMMIT VLLM_BUILD_PIPELINE VLLM_BUILD_URL VLLM_IMAGE_TAG
ENV VLLM_BUILD_COMMIT=98dff2a81d747d1dba01a47f939f48c3526d4206 VLLM_BUILD_PIPELINE=019d130e-464e-4ff7-b84b-492992c0c06b VLLM_BUILD_URL=https://buildkite.com/vllm/release-v2/builds/6292 VLLM_IMAGE_TAG=vllm/vllm-openai:v0.29.0-ubuntu2404
                        
# 2026-09-09 10:09:02  0.00B 设置环境变量 VLLM_USAGE_SOURCE
ENV VLLM_USAGE_SOURCE=production-docker-image
                        
# 2026-09-09 10:09:02  0.00B 执行命令并创建新的镜像层
RUN |14 TARGETPLATFORM=linux/amd64 INSTALL_KV_CONNECTORS=true INSTALL_RUBIN_PRERELEASE=false TRITON_INSTALL_FROM_SOURCE_REPO= CUDA_VERSION=13.0.2 VLLM_BUILD_COMMIT=98dff2a81d747d1dba01a47f939f48c3526d4206 VLLM_BUILD_PIPELINE=019d130e-464e-4ff7-b84b-492992c0c06b VLLM_BUILD_URL=https://buildkite.com/vllm/release-v2/builds/6292 VLLM_IMAGE_TAG=vllm/vllm-openai:v0.29.0-ubuntu2404 PIP_INDEX_URL= UV_INDEX_URL= PIP_EXTRA_INDEX_URL= UV_EXTRA_INDEX_URL= torch_cuda_arch_list=7.5 8.0 8.6 8.9 9.0 10.0 12.0 /bin/sh -c if [ -n "${TRITON_INSTALL_FROM_SOURCE_REPO}" ]; then         CUDA_MAJOR_MINOR=$(echo "${CUDA_VERSION}" | cut -d. -f1,2);         if [ "${INSTALL_RUBIN_PRERELEASE}" = "true" ]; then             case "${CUDA_MAJOR_MINOR}" in                 13.4|13.5)                     TRITON_SYSTEM_PTXAS_PATH=/usr/local/cuda/bin/ptxas                     TRITON_EXPECTED_PTXAS_VERSION="${CUDA_MAJOR_MINOR}"                         bash /tmp/install_triton_from_source.sh                             /tmp/triton-source-dist                             /tmp/triton-source-wheel.sha256                     ;;                 *)                     echo "Unsupported Rubin CUDA version: ${CUDA_MAJOR_MINOR}" >&2;                     exit 1                     ;;             esac;         else             bash /tmp/install_triton_from_source.sh                 /tmp/triton-source-dist                 /tmp/triton-source-wheel.sha256;         fi;     fi     && rm -f         /tmp/install_triton_from_source.sh         /tmp/triton-source-wheel.sha256 # buildkit
                        
# 2026-09-09 10:09:02  1.51KB 复制新文件或目录到容器中
COPY tools/install_triton_from_source.sh /tmp/install_triton_from_source.sh # buildkit
                        
# 2026-09-09 10:09:02  78.00B 复制新文件或目录到容器中
COPY /tmp/triton_from_source_workspace/dist/wheel.sha256 /tmp/triton-source-wheel.sha256 # buildkit
                        
# 2026-09-09 10:09:01  0.00B 执行命令并创建新的镜像层
RUN |14 TARGETPLATFORM=linux/amd64 INSTALL_KV_CONNECTORS=true INSTALL_RUBIN_PRERELEASE=false TRITON_INSTALL_FROM_SOURCE_REPO= CUDA_VERSION=13.0.2 VLLM_BUILD_COMMIT=98dff2a81d747d1dba01a47f939f48c3526d4206 VLLM_BUILD_PIPELINE=019d130e-464e-4ff7-b84b-492992c0c06b VLLM_BUILD_URL=https://buildkite.com/vllm/release-v2/builds/6292 VLLM_IMAGE_TAG=vllm/vllm-openai:v0.29.0-ubuntu2404 PIP_INDEX_URL= UV_INDEX_URL= PIP_EXTRA_INDEX_URL= UV_EXTRA_INDEX_URL= torch_cuda_arch_list=7.5 8.0 8.6 8.9 9.0 10.0 12.0 /bin/sh -c if [ "${INSTALL_RUBIN_PRERELEASE}" = "true" ]; then         echo "Installing Rubin prerelease requirements..."         && uv pip install --system             -r /tmp/vllm-requirements/rubin-prerelease.txt;     fi # buildkit
                        
# 2026-09-09 10:09:01  1.20GB 执行命令并创建新的镜像层
RUN |14 TARGETPLATFORM=linux/amd64 INSTALL_KV_CONNECTORS=true INSTALL_RUBIN_PRERELEASE=false TRITON_INSTALL_FROM_SOURCE_REPO= CUDA_VERSION=13.0.2 VLLM_BUILD_COMMIT=98dff2a81d747d1dba01a47f939f48c3526d4206 VLLM_BUILD_PIPELINE=019d130e-464e-4ff7-b84b-492992c0c06b VLLM_BUILD_URL=https://buildkite.com/vllm/release-v2/builds/6292 VLLM_IMAGE_TAG=vllm/vllm-openai:v0.29.0-ubuntu2404 PIP_INDEX_URL= UV_INDEX_URL= PIP_EXTRA_INDEX_URL= UV_EXTRA_INDEX_URL= torch_cuda_arch_list=7.5 8.0 8.6 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         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 ${BUILD_PKGS} &&             rm -rf /var/lib/apt/lists/*         );         MOONCAKE_VERSION=$(python3 -c "import importlib.metadata as m; print(m.version('mooncake-transfer-engine'))" 2>/dev/null || true) &&         if [ "${CUDA_MAJOR}" = "13" ] && [ -n "${MOONCAKE_VERSION}" ]; then             uv pip uninstall --system mooncake-transfer-engine 2>/dev/null || true;             uv pip install --system "mooncake-transfer-engine-cuda13==${MOONCAKE_VERSION}";         fi;     fi # buildkit
                        
# 2026-09-09 10:08:53  0.00B 设置环境变量 TORCH_CUDA_ARCH_LIST
ENV TORCH_CUDA_ARCH_LIST=7.5 8.0 8.6 8.9 9.0 10.0 12.0
                        
# 2026-09-09 10:08:53  0.00B 定义构建参数
ARG torch_cuda_arch_list=7.5 8.0 8.6 8.9 9.0 10.0 11.0 12.0
                        
# 2026-09-09 10:08:53  0.00B 设置环境变量 UV_HTTP_TIMEOUT
ENV UV_HTTP_TIMEOUT=500
                        
# 2026-09-09 10:08:53  0.00B 定义构建参数
ARG PIP_EXTRA_INDEX_URL UV_EXTRA_INDEX_URL
                        
# 2026-09-09 10:08:53  0.00B 定义构建参数
ARG PIP_INDEX_URL UV_INDEX_URL
                        
# 2026-09-09 10:08:53  0.00B 定义构建参数
ARG VLLM_IMAGE_TAG
                        
# 2026-09-09 10:08:53  0.00B 定义构建参数
ARG VLLM_BUILD_URL
                        
# 2026-09-09 10:08:53  0.00B 定义构建参数
ARG VLLM_BUILD_PIPELINE
                        
# 2026-09-09 10:08:53  0.00B 定义构建参数
ARG VLLM_BUILD_COMMIT
                        
# 2026-09-09 10:08:53  0.00B 定义构建参数
ARG CUDA_VERSION
                        
# 2026-09-09 10:08:53  0.00B 定义构建参数
ARG TRITON_INSTALL_FROM_SOURCE_REPO
                        
# 2026-09-09 10:08:53  0.00B 定义构建参数
ARG INSTALL_RUBIN_PRERELEASE
                        
# 2026-09-09 10:08:53  0.00B 定义构建参数
ARG INSTALL_KV_CONNECTORS=false
                        
# 2026-09-09 10:08:53  0.00B 定义构建参数
ARG TARGETPLATFORM
                        
# 2026-09-09 10:08:53  35.04KB 复制新文件或目录到容器中
COPY ./vllm/collect_env.py . # buildkit
                        
# 2026-09-09 10:08:53  1.25MB 复制新文件或目录到容器中
COPY benchmarks benchmarks # buildkit
                        
# 2026-09-09 10:08:53  1.33MB 复制新文件或目录到容器中
COPY examples examples # buildkit
                        
# 2026-09-09 10:08:53  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
                        
# 2026-09-09 10:08:53  41.21MB 执行命令并创建新的镜像层
RUN |8 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
                        
# 2026-09-09 10:08:52  146.00B 复制新文件或目录到容器中
COPY /tmp/ep_kernels_workspace/dist/wheels.sha256 /tmp/ep-kernels-wheels.sha256 # buildkit
                        
# 2026-09-09 10:08:52  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
                        
# 2026-09-09 10:08:52  0.00B 执行命令并创建新的镜像层
RUN |8 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
                        
# 2026-09-09 10:08:51  764.70MB 执行命令并创建新的镜像层
RUN |8 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
                        
# 2026-09-09 10:08:46  110.00B 复制新文件或目录到容器中
COPY /workspace/dist/wheel.sha256 /tmp/vllm-wheel.sha256 # buildkit
                        
# 2026-09-09 09:55:27  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
                        
# 2026-09-09 09:54:34  0.00B 定义构建参数
ARG PYTORCH_NIGHTLY
                        
# 2026-09-09 09:54:34  0.00B 定义构建参数
ARG PIP_KEYRING_PROVIDER UV_KEYRING_PROVIDER
                        
# 2026-09-09 09:54:34  0.00B 定义构建参数
ARG PYTORCH_CUDA_INDEX_BASE_URL
                        
# 2026-09-09 09:54:34  0.00B 定义构建参数
ARG PIP_EXTRA_INDEX_URL UV_EXTRA_INDEX_URL
                        
# 2026-09-09 09:54:34  0.00B 定义构建参数
ARG PIP_INDEX_URL UV_INDEX_URL
                        
# 2026-09-09 09:54:34  206.04MB 执行命令并创建新的镜像层
RUN |14 INSTALL_RUBIN_PRERELEASE=false CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 NCCL_VERSION=2.30.7 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=0.6.18 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu24_04 TARGETPLATFORM=linux/amd64 TIMM_VERSION=>=1.0.17 RUNAI_MODEL_STREAMER_VERSION=>=0.15.7 /bin/sh -c uv pip install --system accelerate 'modelscope<1.38'         "timm${TIMM_VERSION}" "runai-model-streamer[s3,gcs,azure]${RUNAI_MODEL_STREAMER_VERSION}" # buildkit
                        
# 2026-09-09 09:54:31  0.00B 定义构建参数
ARG RUNAI_MODEL_STREAMER_VERSION=>=0.15.7
                        
# 2026-09-09 09:54:31  0.00B 定义构建参数
ARG TIMM_VERSION=>=1.0.17
                        
# 2026-09-09 09:54:31  2.47MB 执行命令并创建新的镜像层
RUN |12 INSTALL_RUBIN_PRERELEASE=false CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 NCCL_VERSION=2.30.7 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=0.6.18 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu24_04 TARGETPLATFORM=linux/amd64 /bin/sh -c set -eux;     if [ "${INSTALL_RUBIN_PRERELEASE}" = "true" ]; then         ldconfig -p | grep -q 'libgdrapi\.so';     else         case "${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}";     fi;     rm /tmp/install_gdrcopy.sh # buildkit
                        
# 2026-09-09 09:54:26  1.44KB 复制新文件或目录到容器中
COPY tools/install_gdrcopy.sh /tmp/install_gdrcopy.sh # buildkit
                        
# 2026-09-09 09:54:26  0.00B 定义构建参数
ARG TARGETPLATFORM
                        
# 2026-09-09 09:54:26  0.00B 定义构建参数
ARG GDRCOPY_OS_VERSION=Ubuntu24_04
                        
# 2026-09-09 09:54:26  0.00B 定义构建参数
ARG GDRCOPY_CUDA_VERSION=12.8
                        
# 2026-09-09 09:54:26  1.58GB 执行命令并创建新的镜像层
RUN |9 INSTALL_RUBIN_PRERELEASE=false CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 NCCL_VERSION=2.30.7 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=0.6.18 /bin/sh -c if [ "${INSTALL_RUBIN_PRERELEASE}" != "true" ]; then         uv pip install --system flashinfer-jit-cache==${FLASHINFER_VERSION}             --index-url https://flashinfer.ai/whl/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.');     fi # buildkit
                        
# 2026-09-09 09:54:03  0.00B 定义构建参数
ARG FLASHINFER_VERSION=0.6.18
                        
# 2026-09-09 09:54:03  13.83GB 执行命令并创建新的镜像层
RUN |8 INSTALL_RUBIN_PRERELEASE=false CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 NCCL_VERSION=2.30.7 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 if [ "${INSTALL_RUBIN_PRERELEASE}" = "true" ] &&         [ ! -f /tmp/vllm-requirements/rubin-prerelease.txt ]; then         echo "INSTALL_RUBIN_PRERELEASE=true requires requirements/rubin-prerelease.txt" >&2;         exit 1;     fi &&     if [ "$(echo $CUDA_VERSION | cut -d. -f1)" = "12" ]; then         sed -i 's/^nvidia-cutlass-dsl\[cu13\]/nvidia-cutlass-dsl/' /tmp/requirements-cuda.txt;         sed -i 's/^humming-kernels\[cu13\]/humming-kernels[cu12]/' /tmp/requirements-cuda.txt;     fi &&     if [ "${INSTALL_RUBIN_PRERELEASE}" = "true" ]; then         uv pip install --system             -r /tmp/vllm-requirements/rubin-prerelease.txt         && sed -Ei '/^[[:space:]]*(torch|torchvision|torchaudio)[[:space:]]*==/Id'             /tmp/requirements-cuda.txt         && uv pip install --system -r /tmp/requirements-cuda.txt         && uv pip install --system             -r /tmp/vllm-requirements/rubin-prerelease.txt         && printf '%s\n'             "/usr/local/lib/python${PYTHON_VERSION}/dist-packages/nvpl/lib"             > /etc/ld.so.conf.d/vllm-rubin-python.conf         && ldconfig;     else         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 '.');     fi &&     rm /tmp/requirements-cuda.txt /tmp/common.txt # buildkit
                        
# 2026-09-09 09:52:41  1.25KB 复制新文件或目录到容器中
COPY requirements/cuda.txt /tmp/requirements-cuda.txt # buildkit
                        
# 2026-09-09 09:52:41  3.22KB 复制新文件或目录到容器中
COPY requirements/common.txt /tmp/common.txt # buildkit
                        
# 2026-09-09 09:52:41  0.00B 定义构建参数
ARG PYTORCH_CUDA_INDEX_BASE_URL
                        
# 2026-09-09 09:52:41  0.00B 设置环境变量 VLLM_ENABLE_CUDA_COMPATIBILITY
ENV VLLM_ENABLE_CUDA_COMPATIBILITY=0
                        
# 2026-09-09 09:52:41  3.69KB 执行命令并创建新的镜像层
RUN |7 INSTALL_RUBIN_PRERELEASE=false CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 NCCL_VERSION=2.30.7 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py /bin/sh -c chmod 0755 /usr/local/bin/vllm-nonroot-entrypoint.sh # buildkit
                        
# 2026-09-09 09:52:40  3.69KB 复制新文件或目录到容器中
COPY docker/entrypoints/vllm-nonroot-entrypoint.sh /usr/local/bin/vllm-nonroot-entrypoint.sh # buildkit
                        
# 2026-09-09 09:52:40  9.38KB 执行命令并创建新的镜像层
RUN |7 INSTALL_RUBIN_PRERELEASE=false CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 NCCL_VERSION=2.30.7 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py /bin/sh -c useradd --uid 2000 --gid 0 --create-home --home-dir /home/vllm         --shell /bin/bash vllm     && mkdir -p /home/vllm/.cache /home/vllm/.config     && chown -R 2000:0 /home/vllm     && chmod -R g+rwX /home/vllm     && chgrp 0 /etc/passwd /etc/group     && chmod g=u /etc/passwd /etc/group # buildkit
                        
# 2026-09-09 09:52:39  0.00B 设置环境变量 UV_OVERRIDE
ENV UV_OVERRIDE=/etc/uv-overrides.txt
                        
# 2026-09-09 09:52:39  25.00B 执行命令并创建新的镜像层
RUN |7 INSTALL_RUBIN_PRERELEASE=false CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 NCCL_VERSION=2.30.7 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py /bin/sh -c CUDA_MAJOR=$(echo $CUDA_VERSION | cut -d. -f1) &&     if [ -n "$NCCL_VERSION" ]; then         echo "nvidia-nccl-cu${CUDA_MAJOR}==${NCCL_VERSION}"             > /etc/uv-overrides.txt;     else         touch /etc/uv-overrides.txt;     fi # buildkit
                        
# 2026-09-09 09:52:38  0.00B 执行命令并创建新的镜像层
RUN |7 INSTALL_RUBIN_PRERELEASE=false CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 NCCL_VERSION=2.30.7 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py /bin/sh -c mkdir -p "${UV_PYTHON_INSTALL_DIR}" "${UV_CACHE_DIR}"     && chgrp -R 0 /opt/uv     && chmod -R g+rwX,a+rX /opt/uv # buildkit
                        
# 2026-09-09 09:52:37  0.00B 设置环境变量 UV_CACHE_DIR
ENV UV_CACHE_DIR=/opt/uv/cache
                        
# 2026-09-09 09:52:37  0.00B 设置环境变量 UV_PYTHON_INSTALL_DIR
ENV UV_PYTHON_INSTALL_DIR=/opt/uv/python
                        
# 2026-09-09 09:52:37  0.00B 设置环境变量 UV_LINK_MODE
ENV UV_LINK_MODE=copy
                        
# 2026-09-09 09:52:37  0.00B 设置环境变量 UV_INDEX_STRATEGY
ENV UV_INDEX_STRATEGY=unsafe-best-match
                        
# 2026-09-09 09:52:37  0.00B 设置环境变量 UV_HTTP_TIMEOUT
ENV UV_HTTP_TIMEOUT=500
                        
# 2026-09-09 09:52:37  71.23MB 执行命令并创建新的镜像层
RUN |7 INSTALL_RUBIN_PRERELEASE=false CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 NCCL_VERSION=2.30.7 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
                        
# 2026-09-09 09:52:36  0.00B 执行命令并创建新的镜像层
RUN |7 INSTALL_RUBIN_PRERELEASE=false CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 NCCL_VERSION=2.30.7 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py /bin/sh -c if [ "${INSTALL_RUBIN_PRERELEASE}" = "true" ]; then         CUDA_MAJOR_MINOR=$(echo "${CUDA_VERSION}" | cut -d. -f1,2)         && if [ "${CUDA_MAJOR_MINOR}" = "13.4" ]; then             CURAND_LIBRARY=$(find -H /usr/local/cuda -name libcurand.so.10                 -print -quit)             && test -n "${CURAND_LIBRARY}"             && ln -sf "${CURAND_LIBRARY}"                 /usr/local/cuda/lib64/libcurand.so.11;         elif [ "${CUDA_MAJOR_MINOR}" = "13.5" ]; then             CURAND_LIBRARY=$(find -H /usr/local/cuda -name libcurand.so.11                 -print -quit)             && test -n "${CURAND_LIBRARY}"             && ! readlink -f "${CURAND_LIBRARY}" | grep -q 'libcurand\.so\.10';         else             echo "Unsupported Rubin CUDA version: ${CUDA_MAJOR_MINOR}" >&2;             exit 1;         fi         && NCCL_LIBRARY=$(find /usr/lib -name libnccl.so.2 -print -quit)         && test -n "${NCCL_LIBRARY}"         && ln -sf "${NCCL_LIBRARY}" /usr/lib/libnccl.so.2         && ln -sf libnccl.so.2 /usr/lib/libnccl.so         && ldconfig;     fi # buildkit
                        
# 2026-09-09 09:52:34  2.70GB 执行命令并创建新的镜像层
RUN |7 INSTALL_RUBIN_PRERELEASE=false CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 NCCL_VERSION=2.30.7 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py /bin/sh -c CUDA_VERSION_DASH=$(echo $CUDA_VERSION | cut -d. -f1,2 | tr '.' '-') &&     apt-get update -y &&     apt-get install -y --no-install-recommends --allow-change-held-packages         cuda-nvcc-${CUDA_VERSION_DASH}         cuda-cudart-${CUDA_VERSION_DASH}         cuda-nvrtc-${CUDA_VERSION_DASH}         cuda-cuobjdump-${CUDA_VERSION_DASH}         libcurand-dev-${CUDA_VERSION_DASH}         libcublas-dev-${CUDA_VERSION_DASH}         libnuma-dev         numactl &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-09-09 09:51:56  648.22MB 执行命令并创建新的镜像层
RUN |7 INSTALL_RUBIN_PRERELEASE=false CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 NCCL_VERSION=2.30.7 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
                        
# 2026-09-09 09:50:44  136.00B 执行命令并创建新的镜像层
RUN |7 INSTALL_RUBIN_PRERELEASE=false CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 NCCL_VERSION=2.30.7 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
                        
# 2026-09-09 09:50:44  0.00B 设置工作目录为/vllm-workspace
WORKDIR /vllm-workspace
                        
# 2026-09-09 09:50:44  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2026-09-09 09:50:44  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=13.0.2
                        
# 2026-09-09 09:50:44  0.00B 定义构建参数
ARG GET_PIP_URL
                        
# 2026-09-09 09:50:44  0.00B 定义构建参数
ARG DEADSNAKES_GPGKEY_URL
                        
# 2026-09-09 09:50:44  0.00B 定义构建参数
ARG DEADSNAKES_MIRROR_URL
                        
# 2026-09-09 09:50:44  0.00B 定义构建参数
ARG NCCL_VERSION
                        
# 2026-09-09 09:50:44  0.00B 定义构建参数
ARG PYTHON_VERSION
                        
# 2026-09-09 09:50:44  0.00B 定义构建参数
ARG CUDA_VERSION
                        
# 2026-09-09 09:50:44  0.00B 定义构建参数
ARG INSTALL_RUBIN_PRERELEASE
                        
# 2025-10-11 00:48:26  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2025-10-11 00:48:26  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2025-10-11 00:48:26  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2025-10-11 00:48:26  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
                        
# 2025-10-11 00:48:26  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
                        
# 2025-10-11 00:48:26  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
                        
# 2025-10-11 00:48:26  322.86MB 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
                        
# 2025-10-11 00:48:09  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=13.0.2
                        
# 2025-10-11 00:48:09  10.26MB 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 -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/${NVARCH}/3bf863cc.pub | apt-key add - &&     echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-10-11 00:48:09  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-10-11 00:48:09  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-10-11 00:48:09  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=13.0.96-1
                        
# 2025-10-11 00:48:09  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
                        
# 2025-10-11 00:48:09  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2025-10-01 21:01:37  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-10-01 21:01:37  78.12MB 
/bin/sh -c #(nop) ADD file:249778a1782b02a1c2bcf9f292f5778d81442a53c3de1958d712f10baf7e0b60 in / 
                        
# 2025-10-01 21:01:35  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=24.04
                        
# 2025-10-01 21:01:35  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2025-10-01 21:01:35  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2025-10-01 21:01:35  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2026-09-09T02:09:02.904184458Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
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        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
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}

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linux/arm64 docker.io2.23GB2026-03-28 10:34
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linux/amd64 docker.io24.27GB2026-08-11 01:48
257

docker.io/vllm/vllm-openai:latest-cu129-ubuntu2404

linux/amd64 docker.io26.67GB2026-05-09 02:37
645

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

linux/amd64 docker.io19.65GB2026-03-31 00:47
1566

docker.io/vllm/vllm-openai:latest-ubuntu2404

linux/arm64 docker.io24.20GB2026-05-14 01:40
260

docker.io/vllm/vllm-openai:latest-x86_64-cu129-ubuntu2404

linux/amd64 docker.io30.16GB2026-06-03 05:05
602

docker.io/vllm/vllm-openai:mimo-v26

linux/amd64 docker.io21.64GB2026-09-24 01:45
54

docker.io/vllm/vllm-openai:mimov25-cu129

linux/amd64 docker.io27.47GB2026-05-01 01:00
769

docker.io/vllm/vllm-openai:minimax-m3

linux/amd64 docker.io18.60GB2026-06-14 00:53
412

docker.io/vllm/vllm-openai:minimax27

linux/amd64 docker.io24.06GB2026-04-14 01:09
699

docker.io/vllm/vllm-openai:muse-glimmer

linux/amd64 docker.io19.81GB2026-08-15 05:38
131

docker.io/vllm/vllm-openai:nightly

linux/amd64 docker.io18.74GB2025-12-03 02:43
4514
311
381
690
880
162
390
676
324
91
677
595
316

docker.io/vllm/vllm-openai:qwen3_5

linux/amd64 docker.io20.93GB2026-02-25 01:18
1991

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

linux/amd64 docker.io19.60GB2026-04-11 00:51
743

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

linux/amd64 docker.io20.93GB2026-02-27 00:33
967

docker.io/vllm/vllm-openai:qwen38

linux/amd64 docker.io15.11GB2026-08-17 15:14
393

docker.io/vllm/vllm-openai:qwen38

linux/arm64 docker.io16.35GB2026-09-28 01:07
36

docker.io/vllm/vllm-openai:qwen38-cu129

linux/amd64 docker.io19.53GB2026-08-16 00:42
364

docker.io/vllm/vllm-openai:qwen38-flash-next

linux/amd64 docker.io19.84GB2026-08-28 02:43
462

docker.io/vllm/vllm-openai:qwen38-flash-next-x86_64-cu129

linux/amd64 docker.io24.23GB2026-08-28 00:49
248

docker.io/vllm/vllm-openai:qwen38-x86_64-cu129

linux/amd64 docker.io19.53GB2026-09-17 01:09
88

docker.io/vllm/vllm-openai:qwen38-x86_64-cu130

linux/amd64 docker.io15.11GB2026-08-18 00:29
248

docker.io/vllm/vllm-openai:stepfun37

linux/amd64 docker.io23.87GB2026-06-05 02:47
322

docker.io/vllm/vllm-openai:stepfun37-arm64-cu130

linux/arm64 docker.io25.79GB2026-06-06 01:02
183

docker.io/vllm/vllm-openai:unlimited-ocr

linux/amd64 docker.io18.61GB2026-06-29 04:32
764

docker.io/vllm/vllm-openai:unlimited-ocr-cu129

linux/amd64 docker.io24.19GB2026-07-07 01:23
290

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

linux/amd64 docker.io26.13GB2025-07-26 03:15
2733

docker.io/vllm/vllm-openai:v0.10.1

linux/amd64 docker.io20.25GB2025-08-20 03:05
1840

docker.io/vllm/vllm-openai:v0.10.1.1

linux/amd64 docker.io20.26GB2025-08-23 01:43
2967

docker.io/vllm/vllm-openai:v0.10.2

linux/amd64 docker.io22.49GB2025-09-16 03:40
2391

docker.io/vllm/vllm-openai:v0.10.2-x86_64

linux/amd64 docker.io22.49GB2025-10-09 02:22
879

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

linux/amd64 docker.io25.86GB2025-10-09 11:24
3422

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

linux/arm64 docker.io24.17GB2025-10-30 00:47
1464

docker.io/vllm/vllm-openai:v0.11.0-x86_64

linux/amd64 docker.io25.86GB2025-10-09 02:14
3069

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

linux/amd64 docker.io28.72GB2025-11-21 01:03
1100

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

linux/arm64 docker.io26.54GB2025-11-22 01:23
732

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

linux/amd64 docker.io28.82GB2025-11-22 00:46
2531

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

linux/arm64 docker.io26.54GB2025-11-22 04:06
919

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

linux/amd64 docker.io19.47GB2025-12-05 03:59
5441

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

linux/arm64 docker.io17.89GB2025-12-05 03:12
1461

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

linux/amd64 docker.io19.51GB2026-01-22 01:41
3091

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

linux/arm64 docker.io17.98GB2026-03-11 03:52
412

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

linux/amd64 docker.io19.66GB2026-01-22 03:16
1028
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