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docker.io/vllm/vllm-openai:v0.23.0-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。

450
浏览次数
20.40GB
镜像大小
国内镜像
swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai:v0.23.0-ubuntu2404
源镜像
docker.io/vllm/vllm-openai:v0.23.0-ubuntu2404
镜像ID
sha256:6f67a819fc1b4b9f90bc814cd41c745d3e29fe62a26deed567ef44c1092ec24a
镜像 TAG
v0.23.0-ubuntu2404
镜像大小
20.40GB
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
2026-06-12T23:32:30.816015517Z
同步时间
2026-06-15 00:42
浏览量
450 次
贡献者
⚙️ 环境变量 21
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
VLLM_ENABLE_CUDA_COMPATIBILITY=0 14
TORCH_CUDA_ARCH_LIST=7.5 8.0 8.6 8.9 9.0 10.0 12.0+PTX 15
VLLM_USAGE_SOURCE=production-docker-image 16
VLLM_BUILD_COMMIT=91df0fad4dc98a67c7659d9dbd915245d5c43d96 17
VLLM_BUILD_PIPELINE=019d130e-464e-4ff7-b84b-492992c0c06b 18
VLLM_BUILD_URL=https://buildkite.com/vllm/release-v2/builds/2657 19
VLLM_IMAGE_TAG=vllm/vllm-openai:v0.23.0-ubuntu2404 20
🏷️ 镜像标签 10
KeyValue
91df0fad4dc98a67c7659d9dbd915245d5c43d96 ai.vllm.build.commit
019d130e-464e-4ff7-b84b-492992c0c06b ai.vllm.build.pipeline
https://buildkite.com/vllm/release-v2/builds/2657 ai.vllm.build.url
vllm/vllm-openai:v0.23.0-ubuntu2404 ai.vllm.image.tag
NVIDIA CORPORATION <cudatools@nvidia.com> maintainer
ubuntu org.opencontainers.image.ref.name
91df0fad4dc98a67c7659d9dbd915245d5c43d96 org.opencontainers.image.revision
https://github.com/vllm-project/vllm org.opencontainers.image.source
https://buildkite.com/vllm/release-v2/builds/2657 org.opencontainers.image.url
vllm/vllm-openai:v0.23.0-ubuntu2404 org.opencontainers.image.version
🛡️ 镜像安全扫描
ubuntu 24.04 Trivy 2026-06-15 00:46 查看完整报告
153
低危 LOW
1949
中危 MEDIUM
48
高危 HIGH
12
严重 CRITICAL
受影响目标 (4)
docker.io/vllm/vllm-openai:v0.23.0-ubuntu2404 (ubuntu 24.04) ubuntu Python python-pkg usr/local/bin/uv rustbinary usr/local/bin/uvx rustbinary

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai:v0.23.0-ubuntu2404
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai:v0.23.0-ubuntu2404  docker.io/vllm/vllm-openai:v0.23.0-ubuntu2404

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai:v0.23.0-ubuntu2404
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai:v0.23.0-ubuntu2404  docker.io/vllm/vllm-openai:v0.23.0-ubuntu2404

Shell快速替换命令

sed -i 's#vllm/vllm-openai:v0.23.0-ubuntu2404#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai:v0.23.0-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:v0.23.0-ubuntu2404 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai:v0.23.0-ubuntu2404  docker.io/vllm/vllm-openai:v0.23.0-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:v0.23.0-ubuntu2404 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai:v0.23.0-ubuntu2404  docker.io/vllm/vllm-openai:v0.23.0-ubuntu2404'

镜像构建历史


# 2026-06-13 07:32:30  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["vllm" "serve"]
                        
# 2026-06-13 07:32:30  0.00B 添加元数据标签
LABEL org.opencontainers.image.source=https://github.com/vllm-project/vllm org.opencontainers.image.revision=91df0fad4dc98a67c7659d9dbd915245d5c43d96 org.opencontainers.image.version=vllm/vllm-openai:v0.23.0-ubuntu2404 org.opencontainers.image.url=https://buildkite.com/vllm/release-v2/builds/2657 ai.vllm.build.commit=91df0fad4dc98a67c7659d9dbd915245d5c43d96 ai.vllm.build.pipeline=019d130e-464e-4ff7-b84b-492992c0c06b ai.vllm.build.url=https://buildkite.com/vllm/release-v2/builds/2657 ai.vllm.image.tag=vllm/vllm-openai:v0.23.0-ubuntu2404
                        
# 2026-06-13 07:32:30  0.00B 设置环境变量 VLLM_BUILD_COMMIT VLLM_BUILD_PIPELINE VLLM_BUILD_URL VLLM_IMAGE_TAG
ENV VLLM_BUILD_COMMIT=91df0fad4dc98a67c7659d9dbd915245d5c43d96 VLLM_BUILD_PIPELINE=019d130e-464e-4ff7-b84b-492992c0c06b VLLM_BUILD_URL=https://buildkite.com/vllm/release-v2/builds/2657 VLLM_IMAGE_TAG=vllm/vllm-openai:v0.23.0-ubuntu2404
                        
# 2026-06-13 07:32:30  0.00B 设置环境变量 VLLM_USAGE_SOURCE
ENV VLLM_USAGE_SOURCE=production-docker-image
                        
# 2026-06-13 07:32:30  1.58GB 执行命令并创建新的镜像层
RUN |14 TARGETPLATFORM=linux/amd64 INSTALL_KV_CONNECTORS=true CUDA_VERSION=13.0.2 VLLM_BUILD_COMMIT=91df0fad4dc98a67c7659d9dbd915245d5c43d96 VLLM_BUILD_PIPELINE=019d130e-464e-4ff7-b84b-492992c0c06b VLLM_BUILD_URL=https://buildkite.com/vllm/release-v2/builds/2657 VLLM_IMAGE_TAG=vllm/vllm-openai:v0.23.0-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+PTX MOONCAKE_WHEEL_AARCH64=https://vllm-wheels.s3.amazonaws.com/mooncake/mooncake_transfer_engine-0.3.10.post2-0da9dfea3-cp312-cp312-manylinux_2_39_aarch64.whl MOONCAKE_WHEEL_X86_64=https://vllm-wheels.s3.amazonaws.com/mooncake/mooncake_transfer_engine-0.3.10.post2-0da9dfea3-cp312-cp312-manylinux_2_35_x86_64.whl /bin/sh -c if [ "$INSTALL_KV_CONNECTORS" = "true" ]; then         if [ "$TARGETPLATFORM" = "linux/arm64" ]; then             WHEEL="${MOONCAKE_WHEEL_AARCH64}";         else             WHEEL="${MOONCAKE_WHEEL_X86_64}";         fi &&         if [ -n "${WHEEL}" ]; then             uv pip install --system "${WHEEL}" &&             CUDA_MAJOR="${CUDA_VERSION%%.*}" &&             if [ ! -f /usr/local/cuda/lib64/libcudart.so ] &&                [ -f "/usr/local/cuda/lib64/libcudart.so.${CUDA_MAJOR}" ]; then                 ln -s "libcudart.so.${CUDA_MAJOR}" /usr/local/cuda/lib64/libcudart.so;             fi;         fi;     fi # buildkit
                        
# 2026-06-13 07:32:23  0.00B 定义构建参数
ARG MOONCAKE_WHEEL_X86_64
                        
# 2026-06-13 07:32:23  0.00B 定义构建参数
ARG MOONCAKE_WHEEL_AARCH64
                        
# 2026-06-13 07:32:23  729.57MB 执行命令并创建新的镜像层
RUN |12 TARGETPLATFORM=linux/amd64 INSTALL_KV_CONNECTORS=true CUDA_VERSION=13.0.2 VLLM_BUILD_COMMIT=91df0fad4dc98a67c7659d9dbd915245d5c43d96 VLLM_BUILD_PIPELINE=019d130e-464e-4ff7-b84b-492992c0c06b VLLM_BUILD_URL=https://buildkite.com/vllm/release-v2/builds/2657 VLLM_IMAGE_TAG=vllm/vllm-openai:v0.23.0-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+PTX /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 ${BUILD_PKGS} &&             rm -rf /var/lib/apt/lists/*         );         uv pip install --system --force-reinstall --no-deps nixl-cu${CUDA_MAJOR};     fi # buildkit
                        
# 2026-06-13 07:32:17  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+PTX
                        
# 2026-06-13 07:32:17  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+PTX
                        
# 2026-06-13 07:32:17  0.00B 设置环境变量 UV_HTTP_TIMEOUT
ENV UV_HTTP_TIMEOUT=500
                        
# 2026-06-13 07:32:17  0.00B 定义构建参数
ARG PIP_EXTRA_INDEX_URL UV_EXTRA_INDEX_URL
                        
# 2026-06-13 07:32:17  0.00B 定义构建参数
ARG PIP_INDEX_URL UV_INDEX_URL
                        
# 2026-06-13 07:32:17  0.00B 定义构建参数
ARG VLLM_IMAGE_TAG
                        
# 2026-06-13 07:32:17  0.00B 定义构建参数
ARG VLLM_BUILD_URL
                        
# 2026-06-13 07:32:17  0.00B 定义构建参数
ARG VLLM_BUILD_PIPELINE
                        
# 2026-06-13 07:32:17  0.00B 定义构建参数
ARG VLLM_BUILD_COMMIT
                        
# 2026-06-13 07:32:17  0.00B 定义构建参数
ARG CUDA_VERSION
                        
# 2026-06-13 07:32:17  0.00B 定义构建参数
ARG INSTALL_KV_CONNECTORS=false
                        
# 2026-06-13 07:32:17  0.00B 定义构建参数
ARG TARGETPLATFORM
                        
# 2026-06-13 07:32:17  35.09KB 复制新文件或目录到容器中
COPY ./vllm/collect_env.py . # buildkit
                        
# 2026-06-13 07:32:17  1.06MB 复制新文件或目录到容器中
COPY benchmarks benchmarks # buildkit
                        
# 2026-06-13 07:32:17  1.33MB 复制新文件或目录到容器中
COPY examples examples # buildkit
                        
# 2026-06-13 07:32:17  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
                        
# 2026-06-13 07:32:17  1.90GB 执行命令并创建新的镜像层
RUN |22 CUDA_VERSION=13.0.2 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=0.6.12 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu24_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 flashinfer show-config && flashinfer download-cubin # buildkit
                        
# 2026-06-13 07:23:15  196.87MB 执行命令并创建新的镜像层
RUN |22 CUDA_VERSION=13.0.2 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=0.6.12 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu24_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 [ "$(echo $CUDA_VERSION | cut -d. -f1)" = "13" ]; then         CUTLASS_DSL_VERSION=$(uv pip show --system nvidia-cutlass-dsl 2>/dev/null | awk '/^Version:/{print $2}') &&         if [ -n "$CUTLASS_DSL_VERSION" ]; then             uv pip install --system --force-reinstall --no-deps                 "nvidia-cutlass-dsl-libs-cu13==${CUTLASS_DSL_VERSION}";         fi;     fi # buildkit
                        
# 2026-06-13 07:23:14  30.28MB 执行命令并创建新的镜像层
RUN |22 CUDA_VERSION=13.0.2 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=0.6.12 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu24_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
                        
# 2026-06-13 07:23:13  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
                        
# 2026-06-13 07:23:13  0.00B 执行命令并创建新的镜像层
RUN |22 CUDA_VERSION=13.0.2 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=0.6.12 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu24_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
                        
# 2026-06-13 07:23:13  604.82MB 执行命令并创建新的镜像层
RUN |22 CUDA_VERSION=13.0.2 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=0.6.12 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu24_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
                        
# 2026-06-13 07:10:11  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
                        
# 2026-06-13 07:10:11  0.00B 定义构建参数
ARG PYTORCH_NIGHTLY
                        
# 2026-06-13 07:10:11  0.00B 定义构建参数
ARG PIP_KEYRING_PROVIDER UV_KEYRING_PROVIDER
                        
# 2026-06-13 07:10:11  0.00B 定义构建参数
ARG PYTORCH_CUDA_INDEX_BASE_URL
                        
# 2026-06-13 07:10:11  0.00B 定义构建参数
ARG PIP_EXTRA_INDEX_URL UV_EXTRA_INDEX_URL
                        
# 2026-06-13 07:10:11  0.00B 定义构建参数
ARG PIP_INDEX_URL UV_INDEX_URL
                        
# 2026-06-13 07:10:11  388.86MB 执行命令并创建新的镜像层
RUN |14 CUDA_VERSION=13.0.2 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=0.6.12 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu24_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="${BITSANDBYTES_VERSION_X86}";     fi;     uv pip install --system accelerate modelscope         "bitsandbytes>=${BITSANDBYTES_VERSION}" "timm${TIMM_VERSION}" "runai-model-streamer[s3,gcs,azure]${RUNAI_MODEL_STREAMER_VERSION}" # buildkit
                        
# 2026-06-13 07:10:06  0.00B 定义构建参数
ARG RUNAI_MODEL_STREAMER_VERSION=>=0.15.7
                        
# 2026-06-13 07:10:06  0.00B 定义构建参数
ARG TIMM_VERSION=>=1.0.17
                        
# 2026-06-13 07:10:06  0.00B 定义构建参数
ARG BITSANDBYTES_VERSION_ARM64=0.42.0
                        
# 2026-06-13 07:10:06  0.00B 定义构建参数
ARG BITSANDBYTES_VERSION_X86=0.46.1
                        
# 2026-06-13 07:10:06  2.47MB 执行命令并创建新的镜像层
RUN |10 CUDA_VERSION=13.0.2 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=0.6.12 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu24_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
                        
# 2026-06-13 07:10:01  1.44KB 复制新文件或目录到容器中
COPY tools/install_gdrcopy.sh /tmp/install_gdrcopy.sh # buildkit
                        
# 2026-06-13 07:10:01  0.00B 定义构建参数
ARG TARGETPLATFORM
                        
# 2026-06-13 07:10:01  0.00B 定义构建参数
ARG GDRCOPY_OS_VERSION=Ubuntu22_04
                        
# 2026-06-13 07:10:01  0.00B 定义构建参数
ARG GDRCOPY_CUDA_VERSION=12.8
                        
# 2026-06-13 07:10:01  2.04GB 执行命令并创建新的镜像层
RUN |7 CUDA_VERSION=13.0.2 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=0.6.12 /bin/sh -c 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 '.') # buildkit
                        
# 2026-06-13 07:09:40  0.00B 定义构建参数
ARG FLASHINFER_VERSION=0.6.12
                        
# 2026-06-13 07:09:40  8.70GB 执行命令并创建新的镜像层
RUN |6 CUDA_VERSION=13.0.2 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 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 &&     uv pip install --system -r /tmp/requirements-cuda.txt         --extra-index-url ${PYTORCH_CUDA_INDEX_BASE_URL}/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.') &&     if [ "$(echo $CUDA_VERSION | cut -d. -f1)" = "13" ]; then         CUTLASS_DSL_VERSION=$(uv pip show --system nvidia-cutlass-dsl 2>/dev/null | awk '/^Version:/{print $2}') &&         if [ -n "$CUTLASS_DSL_VERSION" ]; then             uv pip install --system --force-reinstall --no-deps                 "nvidia-cutlass-dsl-libs-cu13==${CUTLASS_DSL_VERSION}";         fi;     fi &&     rm /tmp/requirements-cuda.txt /tmp/common.txt # buildkit
                        
# 2026-06-13 07:08:14  856.00B 复制新文件或目录到容器中
COPY requirements/cuda.txt /tmp/requirements-cuda.txt # buildkit
                        
# 2026-06-13 07:08:14  3.07KB 复制新文件或目录到容器中
COPY requirements/common.txt /tmp/common.txt # buildkit
                        
# 2026-06-13 07:08:14  0.00B 定义构建参数
ARG PYTORCH_CUDA_INDEX_BASE_URL
                        
# 2026-06-13 07:08:14  0.00B 设置环境变量 VLLM_ENABLE_CUDA_COMPATIBILITY
ENV VLLM_ENABLE_CUDA_COMPATIBILITY=0
                        
# 2026-06-13 07:08:14  3.69KB 执行命令并创建新的镜像层
RUN |5 CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 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
                        
# 2026-06-13 07:08:13  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
                        
# 2026-06-13 07:08:13  9.38KB 执行命令并创建新的镜像层
RUN |5 CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 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
                        
# 2026-06-13 07:08:12  0.00B 执行命令并创建新的镜像层
RUN |5 CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 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
                        
# 2026-06-13 07:08:11  0.00B 设置环境变量 UV_CACHE_DIR
ENV UV_CACHE_DIR=/opt/uv/cache
                        
# 2026-06-13 07:08:11  0.00B 设置环境变量 UV_PYTHON_INSTALL_DIR
ENV UV_PYTHON_INSTALL_DIR=/opt/uv/python
                        
# 2026-06-13 07:08:11  0.00B 设置环境变量 UV_LINK_MODE
ENV UV_LINK_MODE=copy
                        
# 2026-06-13 07:08:11  0.00B 设置环境变量 UV_INDEX_STRATEGY
ENV UV_INDEX_STRATEGY=unsafe-best-match
                        
# 2026-06-13 07:08:11  0.00B 设置环境变量 UV_HTTP_TIMEOUT
ENV UV_HTTP_TIMEOUT=500
                        
# 2026-06-13 07:08:11  87.59MB 执行命令并创建新的镜像层
RUN |5 CUDA_VERSION=13.0.2 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
                        
# 2026-06-13 07:08:10  3.08GB 执行命令并创建新的镜像层
RUN |5 CUDA_VERSION=13.0.2 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-dev-${CUDA_VERSION_DASH}         libnuma-dev         numactl &&     NCCL_VER=$(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
                        
# 2026-06-13 07:07:34  647.75MB 执行命令并创建新的镜像层
RUN |5 CUDA_VERSION=13.0.2 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
                        
# 2026-06-13 07:06:29  136.00B 执行命令并创建新的镜像层
RUN |5 CUDA_VERSION=13.0.2 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
                        
# 2026-06-13 07:06:29  0.00B 设置工作目录为/vllm-workspace
WORKDIR /vllm-workspace
                        
# 2026-06-13 07:06:29  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2026-06-13 07:06:29  0.00B 定义构建参数
ARG GET_PIP_URL
                        
# 2026-06-13 07:06:29  0.00B 定义构建参数
ARG DEADSNAKES_GPGKEY_URL
                        
# 2026-06-13 07:06:29  0.00B 定义构建参数
ARG DEADSNAKES_MIRROR_URL
                        
# 2026-06-13 07:06:29  0.00B 定义构建参数
ARG PYTHON_VERSION
                        
# 2026-06-13 07:06:29  0.00B 定义构建参数
ARG CUDA_VERSION
                        
# 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": "2026-06-12T23:32:30.816015517Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
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        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
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}

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linux/amd64 docker.io9.90GB2024-09-07 06:20
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linux/amd64 docker.io9.72GB2024-09-11 01:51
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linux/amd64 docker.io10.64GB2024-11-19 00:42
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linux/amd64 docker.io10.64GB2024-12-11 02:08
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linux/amd64 docker.io10.43GB2024-12-12 02:41
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linux/amd64 docker.io16.53GB2025-02-08 02:05
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linux/amd64 docker.io16.53GB2025-02-09 00:28
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linux/amd64 docker.io16.43GB2025-02-24 00:50
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linux/amd64 docker.io17.13GB2025-04-08 00:58
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docker.io/vllm/vllm-openai:v0.14.1

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561

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

linux/amd64 docker.io20.37GB2026-02-28 01:04
1036

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

linux/amd64 docker.io19.01GB2026-02-28 02:55
708
542

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

linux/amd64 docker.io10.40GB2026-03-06 01:01
387

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

linux/amd64 docker.io9.88GB2026-03-06 01:29
436

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

linux/amd64 docker.io19.55GB2026-03-06 02:04
1568
541

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

linux/amd64 docker.io20.75GB2026-03-08 02:27
2320

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

linux/amd64 docker.io19.55GB2026-03-10 01:39
582

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

linux/arm64 docker.io21.50GB2026-03-11 01:42
606

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

linux/amd64 docker.io7.86GB2026-03-11 02:04
419

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

linux/arm64 docker.io17.98GB2026-03-11 03:52
320

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

linux/amd64 docker.io19.55GB2026-03-13 02:22
1070

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

linux/amd64 docker.io20.75GB2026-03-14 02:34
1079

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

linux/arm64 docker.io20.19GB2026-03-17 02:20
347

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

linux/amd64 docker.io22.40GB2026-03-23 01:43
1173

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

linux/amd64 docker.io19.65GB2026-03-24 01:29
931

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

linux/amd64 docker.io3.48GB2026-03-28 10:31
491

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

linux/arm64 docker.io2.23GB2026-03-28 10:34
340

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

linux/amd64 docker.io24.49GB2026-03-30 00:46
561

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

linux/amd64 docker.io19.65GB2026-03-31 00:47
1348

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

linux/amd64 docker.io19.66GB2026-04-02 00:39
399

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

linux/amd64 docker.io22.41GB2026-04-02 01:12
639

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

linux/amd64 docker.io22.35GB2026-04-04 02:18
625

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

linux/amd64 docker.io21.18GB2026-04-04 03:13
2116

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

linux/amd64 docker.io22.41GB2026-04-04 03:47
1531

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

linux/amd64 docker.io3.49GB2026-04-06 07:48
552

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

linux/arm64 docker.io2.25GB2026-04-06 07:51
489

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

linux/amd64 docker.io19.74GB2026-04-08 03:21
642

docker.io/vllm/vllm-openai:gemma4

linux/amd64 docker.io23.92GB2026-04-09 00:39
845
468

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

linux/amd64 docker.io19.60GB2026-04-11 00:51
580

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

linux/amd64 docker.io19.66GB2026-04-12 00:29
496

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

linux/amd64 docker.io19.72GB2026-04-12 01:06
569

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

linux/arm64 docker.io20.43GB2026-04-13 01:49
674

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

linux/arm64 docker.io20.37GB2026-04-13 02:18
460

docker.io/vllm/vllm-openai:gemma4

linux/arm64 docker.io23.20GB2026-04-13 03:21
456

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

linux/arm64 docker.io21.48GB2026-04-14 00:35
750

docker.io/vllm/vllm-openai:minimax27

linux/amd64 docker.io24.06GB2026-04-14 01:09
555

docker.io/vllm/vllm-openai:glm51

linux/amd64 docker.io22.46GB2026-04-16 03:22
601

docker.io/vllm/vllm-openai:glm51

linux/arm64 docker.io23.19GB2026-04-17 01:16
256

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

linux/amd64 docker.io19.71GB2026-04-17 01:41
514

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

linux/amd64 docker.io3.49GB2026-04-17 23:45
574
255

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

linux/amd64 docker.io19.60GB2026-04-20 00:28
1317
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