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docker.io/vllm/vllm-openai-cpu:v0.26.0-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。

19
浏览次数
5.51GB
镜像大小
国内镜像
swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai-cpu:v0.26.0-x86_64
源镜像
docker.io/vllm/vllm-openai-cpu:v0.26.0-x86_64
镜像ID
sha256:e9c821928bffd4a1829965e30c9487deecac56270427f70a7ecd88aa1d25b071
镜像 TAG
v0.26.0-x86_64
镜像大小
5.51GB
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
2026-07-25T02:56:13.128383573Z
同步时间
2026-07-28 18:03
浏览量
19 次
贡献者
⚙️ 环境变量 13
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
CC=/usr/bin/gcc-12 2
CXX=/usr/bin/g++-12 3
CCACHE_DIR=/root/.cache/ccache 4
CMAKE_CXX_COMPILER_LAUNCHER=ccache 5
VIRTUAL_ENV=/opt/venv 6
UV_PYTHON_INSTALL_DIR=/opt/uv/python 7
UV_HTTP_TIMEOUT=500 8
UV_INDEX_STRATEGY=unsafe-best-match 9
UV_LINK_MODE=copy 10
TARGETARCH=amd64 11
LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libtcmalloc_minimal.so.4:/opt/venv/lib/libiomp5.so 12
🏷️ 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 2026-07-28 18:04 查看完整报告
230
低危 LOW
2185
中危 MEDIUM
100
高危 HIGH
3
严重 CRITICAL
受影响目标 (4)
docker.io/vllm/vllm-openai-cpu:v0.26.0-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:v0.26.0-x86_64
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai-cpu:v0.26.0-x86_64  docker.io/vllm/vllm-openai-cpu:v0.26.0-x86_64

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai-cpu:v0.26.0-x86_64
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai-cpu:v0.26.0-x86_64  docker.io/vllm/vllm-openai-cpu:v0.26.0-x86_64

Shell快速替换命令

sed -i 's#vllm/vllm-openai-cpu:v0.26.0-x86_64#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai-cpu:v0.26.0-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:v0.26.0-x86_64 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai-cpu:v0.26.0-x86_64  docker.io/vllm/vllm-openai-cpu:v0.26.0-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:v0.26.0-x86_64 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai-cpu:v0.26.0-x86_64  docker.io/vllm/vllm-openai-cpu:v0.26.0-x86_64'

镜像构建历史


# 2026-07-25 10:56:13  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["vllm" "serve"]
                        
# 2026-07-25 10:56:13  1.33MB 复制新文件或目录到容器中
COPY examples examples # buildkit
                        
# 2026-07-25 10:56:13  0.00B 添加元数据标签
LABEL ai.vllm.build.python-version=3.12
                        
# 2026-07-25 10:56:13  0.00B 添加元数据标签
LABEL ai.vllm.build.cpu-arm-bf16=false
                        
# 2026-07-25 10:56:13  0.00B 添加元数据标签
LABEL ai.vllm.build.cpu-x86=true
                        
# 2026-07-25 10:56:13  0.00B 添加元数据标签
LABEL ai.vllm.build.target-arch=amd64
                        
# 2026-07-25 10:56:13  0.00B 定义构建参数
ARG PYTHON_VERSION
                        
# 2026-07-25 10:56:13  0.00B 定义构建参数
ARG VLLM_CPU_ARM_BF16
                        
# 2026-07-25 10:56:13  0.00B 定义构建参数
ARG VLLM_CPU_X86
                        
# 2026-07-25 10:56:13  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2026-07-25 10:56:13  0.00B 添加元数据标签
LABEL org.opencontainers.image.source=https://github.com/vllm-project/vllm
                        
# 2026-07-25 10:56:13  0.00B 添加元数据标签
LABEL org.opencontainers.image.vendor=vLLM Project
                        
# 2026-07-25 10:56:13  0.00B 添加元数据标签
LABEL org.opencontainers.image.description=vLLM inference engine for CPU platforms
                        
# 2026-07-25 10:56:13  0.00B 添加元数据标签
LABEL org.opencontainers.image.title=vLLM CPU
                        
# 2026-07-25 10:56:13  1.52GB 执行命令并创建新的镜像层
RUN |1 VLLM_CPU_X86=true /bin/sh -c if [ "$TARGETARCH" = "amd64" ] || [ "$VLLM_CPU_X86" != "0" ]; then         uv pip install "$(realpath dist/*.whl)";     fi # buildkit
                        
# 2026-07-25 10:56:04  586.60MB 执行命令并创建新的镜像层
RUN |1 VLLM_CPU_X86=true /bin/sh -c uv pip install "$(realpath dist/*.whl)[audio]" # buildkit
                        
# 2026-07-25 10:38:42  0.00B 设置工作目录为/vllm-workspace
WORKDIR /vllm-workspace
                        
# 2026-07-25 10:38:42  0.00B 定义构建参数
ARG VLLM_CPU_X86=0
                        
# 2026-07-25 10:38:42  3.14KB 执行命令并创建新的镜像层
RUN /bin/sh -c echo 'ulimit -c 0' >> ~/.bashrc # buildkit
                        
# 2026-07-25 10:38:41  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
                        
# 2026-07-25 10:38:41  0.00B 设置环境变量 TARGETARCH
ENV TARGETARCH=amd64
                        
# 2026-07-25 10:38:41  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2026-07-25 10:38:41  2.43GB 执行命令并创建新的镜像层
RUN |2 PYTHON_VERSION=3.12 max_jobs=16 /bin/sh -c uv pip install --upgrade pip &&     uv pip install -r requirements/cpu.txt --torch-backend cpu # buildkit
                        
# 2026-07-25 10:38:20  1.15KB 复制新文件或目录到容器中
COPY requirements/cpu.txt requirements/cpu.txt # buildkit
                        
# 2026-07-25 10:38:20  3.19KB 复制新文件或目录到容器中
COPY requirements/common.txt requirements/common.txt # buildkit
                        
# 2026-07-25 10:38:20  0.00B 设置环境变量 UV_LINK_MODE
ENV UV_LINK_MODE=copy
                        
# 2026-07-25 10:38:20  0.00B 设置环境变量 UV_INDEX_STRATEGY
ENV UV_INDEX_STRATEGY=unsafe-best-match
                        
# 2026-07-25 10:38:20  0.00B 设置环境变量 UV_HTTP_TIMEOUT
ENV UV_HTTP_TIMEOUT=500
                        
# 2026-07-25 10:38:20  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
                        
# 2026-07-25 10:38:20  109.40MB 执行命令并创建新的镜像层
RUN |2 PYTHON_VERSION=3.12 max_jobs=16 /bin/sh -c uv venv --python ${PYTHON_VERSION} --seed ${VIRTUAL_ENV} # buildkit
                        
# 2026-07-25 10:38:17  0.00B 设置环境变量 UV_PYTHON_INSTALL_DIR
ENV UV_PYTHON_INSTALL_DIR=/opt/uv/python
                        
# 2026-07-25 10:38:17  0.00B 设置环境变量 VIRTUAL_ENV
ENV VIRTUAL_ENV=/opt/venv
                        
# 2026-07-25 10:38:17  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
                        
# 2026-07-25 10:38:17  0.00B 设置环境变量 CMAKE_CXX_COMPILER_LAUNCHER
ENV CMAKE_CXX_COMPILER_LAUNCHER=ccache
                        
# 2026-07-25 10:38:17  0.00B 设置环境变量 CCACHE_DIR
ENV CCACHE_DIR=/root/.cache/ccache
                        
# 2026-07-25 10:38:17  0.00B 设置环境变量 CC CXX
ENV CC=/usr/bin/gcc-12 CXX=/usr/bin/g++-12
                        
# 2026-07-25 10:38:17  772.76MB 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 git curl wget ca-certificates 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
                        
# 2026-07-25 10:38:17  0.00B 设置环境变量 MAX_JOBS
ENV MAX_JOBS=16
                        
# 2026-07-25 10:38:17  0.00B 定义构建参数
ARG max_jobs=32
                        
# 2026-07-25 10:38:17  0.00B 定义构建参数
ARG PYTHON_VERSION=3.12
                        
# 2026-07-25 10:37:29  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2026-06-29 19:07:32  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2026-06-29 19:07:32  78.08MB 
/bin/sh -c #(nop) ADD file:c5143b228eb55f19ed4d3b653ad68ec7afe54ded0247e090ce3afb9e5484adfb in / 
                        
# 2026-06-29 19:07:30  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2026-06-29 19:07:30  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2026-06-29 19:07:30  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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            "CC=/usr/bin/gcc-12",
            "CXX=/usr/bin/g++-12",
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            "CMAKE_CXX_COMPILER_LAUNCHER=ccache",
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更多版本

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

linux/amd64 docker.io3.48GB2026-03-28 10:31
505

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

linux/arm64 docker.io2.23GB2026-03-28 10:34
347

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

linux/amd64 docker.io3.49GB2026-04-06 07:48
555

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

linux/arm64 docker.io2.25GB2026-04-06 07:51
497

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

linux/amd64 docker.io3.49GB2026-04-17 23:45
586

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

linux/amd64 docker.io13.36GB2026-06-02 00:29
224

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

linux/arm64 docker.io2.60GB2026-07-03 23:57
89

docker.io/vllm/vllm-openai-cpu:v0.26.0-x86_64

linux/amd64 docker.io5.51GB2026-07-28 18:03
18
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