docker.io/openeuler/vllm-cpu:0.9.1-oe2403lts linux/arm64

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/openeuler/vllm-cpu:0.9.1-oe2403lts-linuxarm64
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/openeuler/vllm-cpu:0.9.1-oe2403lts-linuxarm64  docker.io/openeuler/vllm-cpu:0.9.1-oe2403lts

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/openeuler/vllm-cpu:0.9.1-oe2403lts-linuxarm64
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/openeuler/vllm-cpu:0.9.1-oe2403lts-linuxarm64  docker.io/openeuler/vllm-cpu:0.9.1-oe2403lts

Shell快速替换命令

sed -i 's#openeuler/vllm-cpu:0.9.1-oe2403lts#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/openeuler/vllm-cpu:0.9.1-oe2403lts-linuxarm64#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/openeuler/vllm-cpu:0.9.1-oe2403lts-linuxarm64 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/openeuler/vllm-cpu:0.9.1-oe2403lts-linuxarm64  docker.io/openeuler/vllm-cpu:0.9.1-oe2403lts'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/openeuler/vllm-cpu:0.9.1-oe2403lts-linuxarm64 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/openeuler/vllm-cpu:0.9.1-oe2403lts-linuxarm64  docker.io/openeuler/vllm-cpu:0.9.1-oe2403lts'

镜像构建历史

# 2025-07-04 15:57:38  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["python" "-m" "vllm.entrypoints.openai.api_server"]
                        
# 2025-07-04 15:57:38  2.05GB 执行命令并创建新的镜像层
RUN |1 VERSION=v0.9.1 /bin/sh -c VLLM_TARGET_DEVICE="cpu" pip install -e . --extra-index-url https://download.pytorch.org/whl/cpu # buildkit
                        
# 2025-07-04 15:52:13  173.23MB 执行命令并创建新的镜像层
RUN |1 VERSION=v0.9.1 /bin/sh -c pip install "cmake>=3.26" wheel packaging ninja "setuptools-scm>=8" numpy # buildkit
                        
# 2025-07-04 15:52:04  0.00B 设置工作目录为/workspace/vllm
WORKDIR /workspace/vllm
                        
# 2025-07-04 15:52:04  93.77MB 执行命令并创建新的镜像层
RUN |1 VERSION=v0.9.1 /bin/sh -c git clone -b ${VERSION} https://github.com/vllm-project/vllm.git # buildkit
                        
# 2025-07-04 15:51:57  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2025-07-04 15:51:56  1.06GB 执行命令并创建新的镜像层
RUN |1 VERSION=v0.9.1 /bin/sh -c yum update -y &&     yum install -y make gcc gcc-c++ python python-pip python3-devel git vim wget net-tools numactl-devel &&     rm -rf /var/cache/yum # buildkit
                        
# 2025-07-04 15:51:56  0.00B 定义构建参数
ARG VERSION=v0.9.1
                        
# 2025-06-28 08:20:50  0.00B 设置默认要执行的命令
CMD ["bash"]
                        
# 2025-06-28 08:20:50  2.73KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=arm64 /bin/sh -c ln -sf /usr/share/zoneinfo/UTC /etc/localtime &&     sed -i "s/TMOUT=300/TMOUT=0/g" /etc/bashrc # buildkit
                        
# 2025-06-28 08:20:48  205.20MB 复制文件或目录到容器中
ADD openEuler-docker-rootfs.arm64.tar.xz / # buildkit
                        
# 2025-06-28 08:20:48  0.00B 定义构建参数
ARG TARGETARCH=arm64
                        
                    

镜像信息

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