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docker.io/vllm/vllm-openai-cpu:v0.29.0-x86_64
linux/amd64 docker.io

vllm-openai-cpu镜像是vllm项目提供的CPU版本镜像,支持OpenAI兼容的API接口,用于部署大语言模型并提供推理服务,适用于无GPU资源的环境下通过OpenAI风格的API访问大语言模型进行推理。

16
浏览次数
5.80GB
镜像大小
国内镜像
swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai-cpu:v0.29.0-x86_64
源镜像
docker.io/vllm/vllm-openai-cpu:v0.29.0-x86_64
镜像ID
sha256:025dac7b11b533e3b5dfd1d53f67efef94e842cc5e82bfc9142b5767f95e4759
镜像 TAG
v0.29.0-x86_64
镜像大小
5.80GB
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
2026-09-09T02:09:32.999497311Z
同步时间
2026-09-11 19:11
浏览量
16 次
贡献者
⚙️ 环境变量 17
KeyValue
PATH=/opt/venv/bin:/root/.local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 0
MAX_JOBS=16 1
SCCACHE_BUCKET= 2
SCCACHE_REGION= 3
SCCACHE_S3_NO_CREDENTIALS= 4
SCCACHE_IDLE_TIMEOUT= 5
CC=/usr/bin/gcc-12 6
CXX=/usr/bin/g++-12 7
CCACHE_DIR=/root/.cache/ccache 8
CMAKE_CXX_COMPILER_LAUNCHER=ccache 9
VIRTUAL_ENV=/opt/venv 10
UV_PYTHON_INSTALL_DIR=/opt/uv/python 11
UV_HTTP_TIMEOUT=500 12
UV_INDEX_STRATEGY=unsafe-best-match 13
UV_LINK_MODE=copy 14
TARGETARCH=amd64 15
LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libtcmalloc_minimal.so.4:/opt/venv/lib/libiomp5.so 16
🏷️ 镜像标签 9
KeyValue
false ai.vllm.build.cpu-arm-bf16
true ai.vllm.build.cpu-x86
3.12 ai.vllm.build.python-version
amd64 ai.vllm.build.target-arch
vLLM inference engine for CPU platforms org.opencontainers.image.description
https://github.com/vllm-project/vllm org.opencontainers.image.source
vLLM CPU org.opencontainers.image.title
vLLM Project org.opencontainers.image.vendor
22.04 org.opencontainers.image.version
🛡️ 镜像安全扫描
ubuntu 22.04 Trivy 2026-09-11 19:12 查看完整报告
334
低危 LOW
3327
中危 MEDIUM
202
高危 HIGH
6
严重 CRITICAL
受影响目标 (4)
docker.io/vllm/vllm-openai-cpu:v0.29.0-x86_64 (ubuntu 22.04) ubuntu Python python-pkg root/.local/bin/uv rustbinary root/.local/bin/uvx rustbinary

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai-cpu:v0.29.0-x86_64
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai-cpu:v0.29.0-x86_64  docker.io/vllm/vllm-openai-cpu:v0.29.0-x86_64

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai-cpu:v0.29.0-x86_64
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai-cpu:v0.29.0-x86_64  docker.io/vllm/vllm-openai-cpu:v0.29.0-x86_64

Shell快速替换命令

sed -i 's#vllm/vllm-openai-cpu:v0.29.0-x86_64#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai-cpu:v0.29.0-x86_64#' 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-cpu:v0.29.0-x86_64 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai-cpu:v0.29.0-x86_64  docker.io/vllm/vllm-openai-cpu:v0.29.0-x86_64'

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-cpu:v0.29.0-x86_64 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai-cpu:v0.29.0-x86_64  docker.io/vllm/vllm-openai-cpu:v0.29.0-x86_64'

镜像构建历史


# 2026-09-09 10:09:32  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["vllm" "serve"]
                        
# 2026-09-09 10:09:32  1.33MB 复制新文件或目录到容器中
COPY examples examples # buildkit
                        
# 2026-09-09 10:09:32  0.00B 添加元数据标签
LABEL ai.vllm.build.python-version=3.12
                        
# 2026-09-09 10:09:32  0.00B 添加元数据标签
LABEL ai.vllm.build.cpu-arm-bf16=false
                        
# 2026-09-09 10:09:32  0.00B 添加元数据标签
LABEL ai.vllm.build.cpu-x86=true
                        
# 2026-09-09 10:09:32  0.00B 添加元数据标签
LABEL ai.vllm.build.target-arch=amd64
                        
# 2026-09-09 10:09:32  0.00B 定义构建参数
ARG PYTHON_VERSION
                        
# 2026-09-09 10:09:32  0.00B 定义构建参数
ARG VLLM_CPU_ARM_BF16
                        
# 2026-09-09 10:09:32  0.00B 定义构建参数
ARG VLLM_CPU_X86
                        
# 2026-09-09 10:09:32  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2026-09-09 10:09:32  0.00B 添加元数据标签
LABEL org.opencontainers.image.source=https://github.com/vllm-project/vllm
                        
# 2026-09-09 10:09:32  0.00B 添加元数据标签
LABEL org.opencontainers.image.vendor=vLLM Project
                        
# 2026-09-09 10:09:32  0.00B 添加元数据标签
LABEL org.opencontainers.image.description=vLLM inference engine for CPU platforms
                        
# 2026-09-09 10:09:32  0.00B 添加元数据标签
LABEL org.opencontainers.image.title=vLLM CPU
                        
# 2026-09-09 10:09:32  1.53GB 执行命令并创建新的镜像层
RUN /bin/sh -c if ls dist/*.whl >/dev/null 2>&1; then         uv pip install dist/*.whl;     fi # buildkit
                        
# 2026-09-09 10:09:25  649.67MB 执行命令并创建新的镜像层
RUN /bin/sh -c uv pip install "$(realpath dist/*.whl)[audio]" # buildkit
                        
# 2026-09-09 09:51:50  0.00B 设置工作目录为/vllm-workspace
WORKDIR /vllm-workspace
                        
# 2026-09-09 09:51:49  3.14KB 执行命令并创建新的镜像层
RUN /bin/sh -c echo 'ulimit -c 0' >> ~/.bashrc # buildkit
                        
# 2026-09-09 09:51:49  0.00B 设置环境变量 LD_PRELOAD
ENV LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libtcmalloc_minimal.so.4:/opt/venv/lib/libiomp5.so
                        
# 2026-09-09 09:51:49  0.00B 设置环境变量 TARGETARCH
ENV TARGETARCH=amd64
                        
# 2026-09-09 09:51:49  2.66GB 执行命令并创建新的镜像层
RUN |7 PYTHON_VERSION=3.12 max_jobs=16 TARGETARCH=amd64 USE_SCCACHE= SCCACHE_BUCKET_NAME=vllm-build-sccache SCCACHE_REGION_NAME=us-west-2 SCCACHE_S3_NO_CREDENTIALS= /bin/sh -c uv pip install --upgrade pip &&     uv pip install -r requirements/cpu.txt --torch-backend cpu # buildkit
                        
# 2026-09-09 09:51:34  1.15KB 复制新文件或目录到容器中
COPY requirements/cpu.txt requirements/cpu.txt # buildkit
                        
# 2026-09-09 09:51:34  3.22KB 复制新文件或目录到容器中
COPY requirements/common.txt requirements/common.txt # buildkit
                        
# 2026-09-09 09:51:34  0.00B 设置环境变量 UV_LINK_MODE
ENV UV_LINK_MODE=copy
                        
# 2026-09-09 09:51:34  0.00B 设置环境变量 UV_INDEX_STRATEGY
ENV UV_INDEX_STRATEGY=unsafe-best-match
                        
# 2026-09-09 09:51:34  0.00B 设置环境变量 UV_HTTP_TIMEOUT
ENV UV_HTTP_TIMEOUT=500
                        
# 2026-09-09 09:51:34  0.00B 设置环境变量 PATH
ENV PATH=/opt/venv/bin:/root/.local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2026-09-09 09:51:34  109.53MB 执行命令并创建新的镜像层
RUN |7 PYTHON_VERSION=3.12 max_jobs=16 TARGETARCH=amd64 USE_SCCACHE= SCCACHE_BUCKET_NAME=vllm-build-sccache SCCACHE_REGION_NAME=us-west-2 SCCACHE_S3_NO_CREDENTIALS= /bin/sh -c uv venv --python ${PYTHON_VERSION} --seed ${VIRTUAL_ENV} # buildkit
                        
# 2026-09-09 09:51:32  0.00B 设置环境变量 UV_PYTHON_INSTALL_DIR
ENV UV_PYTHON_INSTALL_DIR=/opt/uv/python
                        
# 2026-09-09 09:51:32  0.00B 设置环境变量 VIRTUAL_ENV
ENV VIRTUAL_ENV=/opt/venv
                        
# 2026-09-09 09:51:32  0.00B 设置环境变量 PATH
ENV PATH=/root/.local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2026-09-09 09:51:32  0.00B 设置环境变量 CMAKE_CXX_COMPILER_LAUNCHER
ENV CMAKE_CXX_COMPILER_LAUNCHER=ccache
                        
# 2026-09-09 09:51:32  0.00B 设置环境变量 CCACHE_DIR
ENV CCACHE_DIR=/root/.cache/ccache
                        
# 2026-09-09 09:51:32  0.00B 设置环境变量 CC CXX
ENV CC=/usr/bin/gcc-12 CXX=/usr/bin/g++-12
                        
# 2026-09-09 09:51:32  0.00B 设置环境变量 SCCACHE_IDLE_TIMEOUT
ENV SCCACHE_IDLE_TIMEOUT=
                        
# 2026-09-09 09:51:32  0.00B 设置环境变量 SCCACHE_S3_NO_CREDENTIALS
ENV SCCACHE_S3_NO_CREDENTIALS=
                        
# 2026-09-09 09:51:32  0.00B 设置环境变量 SCCACHE_REGION
ENV SCCACHE_REGION=
                        
# 2026-09-09 09:51:32  0.00B 设置环境变量 SCCACHE_BUCKET
ENV SCCACHE_BUCKET=
                        
# 2026-09-09 09:51:32  0.00B 定义构建参数
ARG SCCACHE_S3_NO_CREDENTIALS=0
                        
# 2026-09-09 09:51:32  0.00B 定义构建参数
ARG SCCACHE_REGION_NAME=us-west-2
                        
# 2026-09-09 09:51:32  0.00B 定义构建参数
ARG SCCACHE_BUCKET_NAME=vllm-build-sccache
                        
# 2026-09-09 09:51:32  0.00B 定义构建参数
ARG USE_SCCACHE
                        
# 2026-09-09 09:51:32  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2026-09-09 09:51:32  702.50MB 执行命令并创建新的镜像层
RUN |2 PYTHON_VERSION=3.12 max_jobs=16 /bin/sh -c apt-get update -y     && apt-get install -y --no-install-recommends sudo ccache wget zlib1g-dev     gcc-12 g++-12 libtcmalloc-minimal4 libnuma-dev ffmpeg libsm6 libxext6 libgl1 jq lsof make xz-utils     && update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-12 10 --slave /usr/bin/g++ g++ /usr/bin/g++-12     && curl -LsSf https://astral.sh/uv/install.sh | sh # buildkit
                        
# 2026-09-09 09:50:48  0.00B 设置环境变量 MAX_JOBS
ENV MAX_JOBS=16
                        
# 2026-09-09 09:50:48  0.00B 定义构建参数
ARG max_jobs=32
                        
# 2026-09-09 09:50:48  0.00B 定义构建参数
ARG PYTHON_VERSION=3.12
                        
# 2026-09-09 09:50:48  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2026-09-09 09:50:48  0.00B 执行命令并创建新的镜像层
RUN |3 TARGETARCH=amd64 USE_SCCACHE= SCCACHE_DOWNLOAD_URL= /bin/sh -c if [ "$USE_SCCACHE" = "1" ]; then         echo "Installing sccache..."         && case "${TARGETARCH}" in           arm64) SCCACHE_ARCH="aarch64" ;;           amd64) SCCACHE_ARCH="x86_64" ;;           *) echo "Unsupported TARGETARCH for sccache: ${TARGETARCH}" >&2; exit 1 ;;         esac         && export SCCACHE_DOWNLOAD_URL="${SCCACHE_DOWNLOAD_URL:-https://github.com/mozilla/sccache/releases/download/v0.8.1/sccache-v0.8.1-${SCCACHE_ARCH}-unknown-linux-musl.tar.gz}"         && curl -L -o sccache.tar.gz "${SCCACHE_DOWNLOAD_URL}"         && tar -xzf sccache.tar.gz         && mv sccache-v0.8.1-${SCCACHE_ARCH}-unknown-linux-musl/sccache /usr/bin/sccache         && rm -rf sccache.tar.gz sccache-v0.8.1-${SCCACHE_ARCH}-unknown-linux-musl;     fi # buildkit
                        
# 2026-09-09 09:50:48  0.00B 定义构建参数
ARG SCCACHE_DOWNLOAD_URL
                        
# 2026-09-09 09:50:48  0.00B 定义构建参数
ARG USE_SCCACHE
                        
# 2026-09-09 09:50:48  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2026-09-09 09:50:47  75.99MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update -y     && apt-get install -y --no-install-recommends ca-certificates curl git # buildkit
                        
# 2026-08-11 01:38:12  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2026-08-11 01:38:12  78.08MB 
/bin/sh -c #(nop) ADD file:799f4e238d67485cc109d93512f4fe6f75bafc26a3476772191154125e52201d in / 
                        
# 2026-08-11 01:38:09  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2026-08-11 01:38:09  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2026-08-11 01:38:09  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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            "PATH=/opt/venv/bin:/root/.local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
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            "SCCACHE_IDLE_TIMEOUT=",
            "CC=/usr/bin/gcc-12",
            "CXX=/usr/bin/g++-12",
            "CCACHE_DIR=/root/.cache/ccache",
            "CMAKE_CXX_COMPILER_LAUNCHER=ccache",
            "VIRTUAL_ENV=/opt/venv",
            "UV_PYTHON_INSTALL_DIR=/opt/uv/python",
            "UV_HTTP_TIMEOUT=500",
            "UV_INDEX_STRATEGY=unsafe-best-match",
            "UV_LINK_MODE=copy",
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}

更多版本

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

linux/arm64 docker.io2.23GB2026-03-28 10:34
469

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

linux/amd64 docker.io3.48GB2026-03-28 10:31
676

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

linux/amd64 docker.io3.49GB2026-04-06 07:48
667

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

linux/arm64 docker.io2.25GB2026-04-06 07:51
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docker.io/vllm/vllm-openai-cpu:v0.19.0-x86_64

linux/amd64 docker.io3.49GB2026-04-17 23:45
712

docker.io/vllm/vllm-openai-cpu:v0.22.0

linux/amd64 docker.io13.36GB2026-06-02 00:29
315

docker.io/vllm/vllm-openai-cpu:v0.24.0-arm64

linux/arm64 docker.io2.60GB2026-07-03 23:57
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docker.io/vllm/vllm-openai-cpu:v0.26.0-x86_64

linux/amd64 docker.io5.51GB2026-07-28 18:03
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docker.io/vllm/vllm-openai-cpu:v0.29.0-x86_64

linux/amd64 docker.io5.80GB2026-09-11 19:11
15
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