Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai:v0.12.0-aarch64-linuxarm64
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai:v0.12.0-aarch64-linuxarm64  docker.io/vllm/vllm-openai:v0.12.0-aarch64

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai:v0.12.0-aarch64-linuxarm64
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai:v0.12.0-aarch64-linuxarm64  docker.io/vllm/vllm-openai:v0.12.0-aarch64

Shell快速替换命令

sed -i 's#vllm/vllm-openai:v0.12.0-aarch64#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai:v0.12.0-aarch64-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/vllm/vllm-openai:v0.12.0-aarch64-linuxarm64 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai:v0.12.0-aarch64-linuxarm64  docker.io/vllm/vllm-openai:v0.12.0-aarch64'

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:v0.12.0-aarch64-linuxarm64 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai:v0.12.0-aarch64-linuxarm64  docker.io/vllm/vllm-openai:v0.12.0-aarch64'

镜像构建历史

# 2025-12-03 17:04:01  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["vllm" "serve"]
                        
# 2025-12-03 17:04:01  0.00B 设置环境变量 VLLM_USAGE_SOURCE
ENV VLLM_USAGE_SOURCE=production-docker-image
                        
# 2025-12-03 17:04:01  667.55MB 执行命令并创建新的镜像层
RUN |6 TARGETPLATFORM=linux/arm64 INSTALL_KV_CONNECTORS=true PIP_INDEX_URL= UV_INDEX_URL= PIP_EXTRA_INDEX_URL= UV_EXTRA_INDEX_URL= /bin/bash -c if [ "$INSTALL_KV_CONNECTORS" = "true" ]; then         uv pip install --system -r /tmp/kv_connectors.txt;     fi;     if [ "$TARGETPLATFORM" = "linux/arm64" ]; then         BITSANDBYTES_VERSION="0.42.0";     else         BITSANDBYTES_VERSION="0.46.1";     fi;     uv pip install --system accelerate hf_transfer modelscope "bitsandbytes>=${BITSANDBYTES_VERSION}" 'timm>=1.0.17' 'runai-model-streamer[s3,gcs]>=0.15.0' # buildkit
                        
# 2025-12-03 17:03:32  0.00B 设置环境变量 UV_HTTP_TIMEOUT
ENV UV_HTTP_TIMEOUT=500
                        
# 2025-12-03 17:03:32  0.00B 定义构建参数
ARG PIP_EXTRA_INDEX_URL UV_EXTRA_INDEX_URL
                        
# 2025-12-03 17:03:32  0.00B 定义构建参数
ARG PIP_INDEX_URL UV_INDEX_URL
                        
# 2025-12-03 17:03:32  0.00B 定义构建参数
ARG INSTALL_KV_CONNECTORS=false
                        
# 2025-12-03 17:03:32  0.00B 定义构建参数
ARG TARGETPLATFORM
                        
# 2025-12-03 17:03:32  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/cuda/lib64
                        
# 2025-12-03 17:03:32  2.41MB 执行命令并创建新的镜像层
RUN |16 CUDA_VERSION=12.9.1 PYTHON_VERSION=3.12 INSTALL_KV_CONNECTORS=true TARGETPLATFORM=linux/arm64 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu22_04 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py 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 /bin/bash -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}" # buildkit
                        
# 2025-12-03 17:03:23  151.59MB 执行命令并创建新的镜像层
RUN |16 CUDA_VERSION=12.9.1 PYTHON_VERSION=3.12 INSTALL_KV_CONNECTORS=true TARGETPLATFORM=linux/arm64 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu22_04 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py 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 /bin/bash -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
                        
# 2025-12-03 17:03:20  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda/lib64
                        
# 2025-12-03 17:03:20  46.97MB 执行命令并创建新的镜像层
RUN |16 CUDA_VERSION=12.9.1 PYTHON_VERSION=3.12 INSTALL_KV_CONNECTORS=true TARGETPLATFORM=linux/arm64 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu22_04 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py 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 /bin/bash -c sh -c 'if ls /tmp/deepgemm/dist/*.whl >/dev/null 2>&1; then               uv pip install --system /tmp/deepgemm/dist/*.whl;            else               echo "No DeepGEMM wheels to install; skipping.";            fi' # buildkit
                        
# 2025-12-03 17:03:19  0.00B 执行命令并创建新的镜像层
RUN |16 CUDA_VERSION=12.9.1 PYTHON_VERSION=3.12 INSTALL_KV_CONNECTORS=true TARGETPLATFORM=linux/arm64 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu22_04 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py 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 /bin/bash -c . /etc/environment && uv pip list # buildkit
                        
# 2025-12-03 17:03:19  28.05KB 复制新文件或目录到容器中
COPY ./vllm/collect_env.py . # buildkit
                        
# 2025-12-03 17:03:19  753.06KB 复制新文件或目录到容器中
COPY benchmarks benchmarks # buildkit
                        
# 2025-12-03 17:03:19  981.40KB 复制新文件或目录到容器中
COPY examples examples # buildkit
                        
# 2025-12-03 17:03:19  4.88GB 执行命令并创建新的镜像层
RUN |16 CUDA_VERSION=12.9.1 PYTHON_VERSION=3.12 INSTALL_KV_CONNECTORS=true TARGETPLATFORM=linux/arm64 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu22_04 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py 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 /bin/bash -c uv pip install --system flashinfer-cubin==0.5.3     && uv pip install --system flashinfer-jit-cache==0.5.3         --extra-index-url https://flashinfer.ai/whl/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.')     && flashinfer show-config # buildkit
                        
# 2025-12-03 17:01:26  8.95GB 执行命令并创建新的镜像层
RUN |16 CUDA_VERSION=12.9.1 PYTHON_VERSION=3.12 INSTALL_KV_CONNECTORS=true TARGETPLATFORM=linux/arm64 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu22_04 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py 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 /bin/bash -c 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 '.') # buildkit
                        
# 2025-12-03 16:38:04  48.70KB 执行命令并创建新的镜像层
RUN |16 CUDA_VERSION=12.9.1 PYTHON_VERSION=3.12 INSTALL_KV_CONNECTORS=true TARGETPLATFORM=linux/arm64 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu22_04 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py 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 /bin/bash -c ldconfig /usr/local/cuda-$(echo $CUDA_VERSION | cut -d. -f1,2)/compat/ # buildkit
                        
# 2025-12-03 16:38:03  0.00B 设置环境变量 UV_LINK_MODE
ENV UV_LINK_MODE=copy
                        
# 2025-12-03 16:38:03  0.00B 设置环境变量 UV_INDEX_STRATEGY
ENV UV_INDEX_STRATEGY=unsafe-best-match
                        
# 2025-12-03 16:38:03  0.00B 设置环境变量 UV_HTTP_TIMEOUT
ENV UV_HTTP_TIMEOUT=500
                        
# 2025-12-03 16:38:03  67.72MB 执行命令并创建新的镜像层
RUN |16 CUDA_VERSION=12.9.1 PYTHON_VERSION=3.12 INSTALL_KV_CONNECTORS=true TARGETPLATFORM=linux/arm64 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu22_04 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py 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 /bin/bash -c python3 -m pip install uv # buildkit
                        
# 2025-12-03 16:38:01  0.00B 定义构建参数
ARG PIP_KEYRING_PROVIDER UV_KEYRING_PROVIDER
                        
# 2025-12-03 16:38:01  0.00B 定义构建参数
ARG PYTORCH_CUDA_INDEX_BASE_URL
                        
# 2025-12-03 16:38:01  0.00B 定义构建参数
ARG PIP_EXTRA_INDEX_URL UV_EXTRA_INDEX_URL
                        
# 2025-12-03 16:38:01  0.00B 定义构建参数
ARG PIP_INDEX_URL UV_INDEX_URL
                        
# 2025-12-03 16:38:01  2.16GB 执行命令并创建新的镜像层
RUN |9 CUDA_VERSION=12.9.1 PYTHON_VERSION=3.12 INSTALL_KV_CONNECTORS=true TARGETPLATFORM=linux/arm64 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu22_04 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py /bin/bash -c CUDA_VERSION_DASH=$(echo $CUDA_VERSION | cut -d. -f1,2 | tr '.' '-') &&     apt-get update -y &&     apt-get install -y --no-install-recommends     cuda-nvcc-${CUDA_VERSION_DASH}     cuda-cudart-${CUDA_VERSION_DASH}     cuda-nvrtc-${CUDA_VERSION_DASH}     cuda-cuobjdump-${CUDA_VERSION_DASH}     libcurand-dev-${CUDA_VERSION_DASH}     libcublas-${CUDA_VERSION_DASH}     libnccl-dev &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-12-03 16:36:59  584.78MB 执行命令并创建新的镜像层
RUN |9 CUDA_VERSION=12.9.1 PYTHON_VERSION=3.12 INSTALL_KV_CONNECTORS=true TARGETPLATFORM=linux/arm64 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu22_04 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py /bin/bash -c echo 'tzdata tzdata/Areas select America' | debconf-set-selections     && echo 'tzdata tzdata/Zones/America select Los_Angeles' | debconf-set-selections     && apt-get update -y     && apt-get install -y --no-install-recommends         software-properties-common         curl         sudo         python3-pip         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     && curl -sS ${GET_PIP_URL} | python${PYTHON_VERSION}     && python3 --version && python3 -m pip --version # buildkit
                        
# 2025-12-03 16:34:11  136.00B 执行命令并创建新的镜像层
RUN |9 CUDA_VERSION=12.9.1 PYTHON_VERSION=3.12 INSTALL_KV_CONNECTORS=true TARGETPLATFORM=linux/arm64 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu22_04 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py /bin/bash -c PYTHON_VERSION_STR=$(echo ${PYTHON_VERSION} | sed 's/\.//g') &&     echo "export PYTHON_VERSION_STR=${PYTHON_VERSION_STR}" >> /etc/environment # buildkit
                        
# 2025-12-03 16:33:17  0.00B 定义构建参数
ARG GET_PIP_URL
                        
# 2025-12-03 16:33:17  0.00B 定义构建参数
ARG DEADSNAKES_GPGKEY_URL
                        
# 2025-12-03 16:33:17  0.00B 定义构建参数
ARG DEADSNAKES_MIRROR_URL
                        
# 2025-12-03 16:33:17  0.00B 
SHELL [/bin/bash -c]
                        
# 2025-12-03 16:33:17  0.00B 定义构建参数
ARG GDRCOPY_OS_VERSION=Ubuntu22_04
                        
# 2025-12-03 16:33:17  0.00B 定义构建参数
ARG GDRCOPY_CUDA_VERSION=12.8
                        
# 2025-12-03 16:33:17  0.00B 定义构建参数
ARG TARGETPLATFORM
                        
# 2025-12-03 16:33:17  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2025-12-03 16:33:17  0.00B 设置工作目录为/vllm-workspace
WORKDIR /vllm-workspace
                        
# 2025-12-03 16:33:17  0.00B 定义构建参数
ARG INSTALL_KV_CONNECTORS=false
                        
# 2025-12-03 16:33:17  0.00B 定义构建参数
ARG PYTHON_VERSION
                        
# 2025-12-03 16:33:17  0.00B 定义构建参数
ARG CUDA_VERSION
                        
# 2025-07-19 04:13:38  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2025-07-19 04:13:38  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2025-07-19 04:13:38  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2025-07-19 04:13:38  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64
                        
# 2025-07-19 04:13:38  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-07-19 04:13:38  22.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=arm64 /bin/sh -c echo "/usr/local/cuda/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
                        
# 2025-07-19 04:13:38  293.79MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=arm64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-cudart-12-9=${NV_CUDA_CUDART_VERSION}     cuda-compat-12-9     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-07-19 04:12:35  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.9.1
                        
# 2025-07-19 04:12:35  10.22MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=arm64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     gnupg2 curl ca-certificates &&     curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${NVARCH}/cuda-keyring_1.1-1_all.deb &&     dpkg -i cuda-keyring_1.1-1_all.deb &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-07-19 04:12:35  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-07-19 04:12:35  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-07-19 04:12:35  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.9.79-1
                        
# 2025-07-19 04:12:35  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>=12.9 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>=560,driver<561 brand=grid,driver>=560,driver<561 brand=tesla,driver>=560,driver<561 brand=nvidia,driver>=560,driver<561 brand=quadro,driver>=560,driver<561 brand=quadrortx,driver>=560,driver<561 brand=nvidiartx,driver>=560,driver<561 brand=vapps,driver>=560,driver<561 brand=vpc,driver>=560,driver<561 brand=vcs,driver>=560,driver<561 brand=vws,driver>=560,driver<561 brand=cloudgaming,driver>=560,driver<561 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
                        
# 2025-07-19 04:12:35  0.00B 设置环境变量 NVARCH
ENV NVARCH=sbsa
                        
# 2025-07-15 00:34:17  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-07-15 00:34:16  69.24MB 
/bin/sh -c #(nop) ADD file:834c1c2a4c7753a37759a9b21f64a990572643eee18669b1faa782fee45355ed in / 
                        
# 2025-07-15 00:34:14  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2025-07-15 00:34:14  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2025-07-15 00:34:14  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2025-07-15 00:34:14  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

{
    "Id": "sha256:0ceba6365d2b5fcf76605a913b8f8e09bc3759ba67ef36fd21119693701e0289",
    "RepoTags": [
        "vllm/vllm-openai:v0.12.0-aarch64",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai:v0.12.0-aarch64-linuxarm64"
    ],
    "RepoDigests": [
        "vllm/vllm-openai@sha256:5043179796ab4088c5551d28db820f5d4959b51ef472793e7f7c0a4ac4f6e311",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai@sha256:5043179796ab4088c5551d28db820f5d4959b51ef472793e7f7c0a4ac4f6e311"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-12-03T09:04:01.019137769Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "NVARCH=sbsa",
            "NVIDIA_REQUIRE_CUDA=cuda\u003e=12.9 brand=unknown,driver\u003e=535,driver\u003c536 brand=grid,driver\u003e=535,driver\u003c536 brand=tesla,driver\u003e=535,driver\u003c536 brand=nvidia,driver\u003e=535,driver\u003c536 brand=quadro,driver\u003e=535,driver\u003c536 brand=quadrortx,driver\u003e=535,driver\u003c536 brand=nvidiartx,driver\u003e=535,driver\u003c536 brand=vapps,driver\u003e=535,driver\u003c536 brand=vpc,driver\u003e=535,driver\u003c536 brand=vcs,driver\u003e=535,driver\u003c536 brand=vws,driver\u003e=535,driver\u003c536 brand=cloudgaming,driver\u003e=535,driver\u003c536 brand=unknown,driver\u003e=550,driver\u003c551 brand=grid,driver\u003e=550,driver\u003c551 brand=tesla,driver\u003e=550,driver\u003c551 brand=nvidia,driver\u003e=550,driver\u003c551 brand=quadro,driver\u003e=550,driver\u003c551 brand=quadrortx,driver\u003e=550,driver\u003c551 brand=nvidiartx,driver\u003e=550,driver\u003c551 brand=vapps,driver\u003e=550,driver\u003c551 brand=vpc,driver\u003e=550,driver\u003c551 brand=vcs,driver\u003e=550,driver\u003c551 brand=vws,driver\u003e=550,driver\u003c551 brand=cloudgaming,driver\u003e=550,driver\u003c551 brand=unknown,driver\u003e=560,driver\u003c561 brand=grid,driver\u003e=560,driver\u003c561 brand=tesla,driver\u003e=560,driver\u003c561 brand=nvidia,driver\u003e=560,driver\u003c561 brand=quadro,driver\u003e=560,driver\u003c561 brand=quadrortx,driver\u003e=560,driver\u003c561 brand=nvidiartx,driver\u003e=560,driver\u003c561 brand=vapps,driver\u003e=560,driver\u003c561 brand=vpc,driver\u003e=560,driver\u003c561 brand=vcs,driver\u003e=560,driver\u003c561 brand=vws,driver\u003e=560,driver\u003c561 brand=cloudgaming,driver\u003e=560,driver\u003c561 brand=unknown,driver\u003e=565,driver\u003c566 brand=grid,driver\u003e=565,driver\u003c566 brand=tesla,driver\u003e=565,driver\u003c566 brand=nvidia,driver\u003e=565,driver\u003c566 brand=quadro,driver\u003e=565,driver\u003c566 brand=quadrortx,driver\u003e=565,driver\u003c566 brand=nvidiartx,driver\u003e=565,driver\u003c566 brand=vapps,driver\u003e=565,driver\u003c566 brand=vpc,driver\u003e=565,driver\u003c566 brand=vcs,driver\u003e=565,driver\u003c566 brand=vws,driver\u003e=565,driver\u003c566 brand=cloudgaming,driver\u003e=565,driver\u003c566 brand=unknown,driver\u003e=570,driver\u003c571 brand=grid,driver\u003e=570,driver\u003c571 brand=tesla,driver\u003e=570,driver\u003c571 brand=nvidia,driver\u003e=570,driver\u003c571 brand=quadro,driver\u003e=570,driver\u003c571 brand=quadrortx,driver\u003e=570,driver\u003c571 brand=nvidiartx,driver\u003e=570,driver\u003c571 brand=vapps,driver\u003e=570,driver\u003c571 brand=vpc,driver\u003e=570,driver\u003c571 brand=vcs,driver\u003e=570,driver\u003c571 brand=vws,driver\u003e=570,driver\u003c571 brand=cloudgaming,driver\u003e=570,driver\u003c571",
            "NV_CUDA_CUDART_VERSION=12.9.79-1",
            "CUDA_VERSION=12.9.1",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/cuda/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "DEBIAN_FRONTEND=noninteractive",
            "UV_HTTP_TIMEOUT=500",
            "UV_INDEX_STRATEGY=unsafe-best-match",
            "UV_LINK_MODE=copy",
            "VLLM_USAGE_SOURCE=production-docker-image"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/vllm-workspace",
        "Entrypoint": [
            "vllm",
            "serve"
        ],
        "OnBuild": null,
        "Labels": {
            "maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "22.04"
        },
        "Shell": [
            "/bin/bash",
            "-c"
        ]
    },
    "Architecture": "arm64",
    "Os": "linux",
    "Size": 17890541270,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/5d0423149870b1d2467390b9ffa51714e72b0460f60d45d5c54a8d9c931222dd/diff:/var/lib/docker/overlay2/1335125c1816dc4d8a18cfb821a1b44490f67084c359f20aa06c535f6856fc57/diff:/var/lib/docker/overlay2/59f025ef8fa40d2301ccc5dc02d86ec18d564f2bda9cdaf49ab3196b697101e9/diff:/var/lib/docker/overlay2/96f285174019d722c4f63b47f2ea864d3549f587f3c145551b10ef85984b73a3/diff:/var/lib/docker/overlay2/67502ce52d66675abcbad29b2e9bdab0f3ae0c6faef50a10fc6c74496e3234b6/diff:/var/lib/docker/overlay2/98878a31014c4300b6f8ab742b43482d98a6e96caf2fc81f8a671f807811b40b/diff:/var/lib/docker/overlay2/499205b773ff89929840d045c3b7f76f737068b1ac14ff5d3f879b2bdd1b4c2f/diff:/var/lib/docker/overlay2/f77b0d88e03622dfb20ffa5515e705aa46a684c381a59e4a29d65e7a4ff77a4b/diff:/var/lib/docker/overlay2/647b97fac0d5a75088b6e67e80dea9862adda543727ce8975c4767af6cd3eed7/diff:/var/lib/docker/overlay2/6b0b13f27445125f2edfc94a0142422cd1c0d043bbd6b3a1ba84085d70955e3c/diff:/var/lib/docker/overlay2/9ffa430c0362cdeeea5a90a142463dbdaa5feee43a81db313fec35b0fb2827c7/diff:/var/lib/docker/overlay2/540eb85de11a72384b41e6b1971b9c918ec8046a178f47ea92ffcfe15ea3ce5b/diff:/var/lib/docker/overlay2/42c752505425c45bca00b635442c68fc4639a988e54c61adcd2cf2232c3ebfa8/diff:/var/lib/docker/overlay2/6d90798cdb53477018ef67b6ac09e0cb128bf6d697276d40554c481b08bf31c4/diff:/var/lib/docker/overlay2/49bedf0c6cf5ee23e3ff2b32d150abdcc29032c8d93f67ae43dadf2525cfe114/diff:/var/lib/docker/overlay2/ed203b022f5b3a256720933b46a9eeee94b005b0befe9113de374526917ea66c/diff:/var/lib/docker/overlay2/7b9d3d9206928711b7ae2db3070ad7a898bc56e1d94cafc962f141acd207c22b/diff:/var/lib/docker/overlay2/54ae8126975f80e15a5227415778f6e5d6e297e9dd8d88126ff045dd82d7b964/diff:/var/lib/docker/overlay2/a7177f50bdce60cb8c0c9680131a2d9e10da2dce36bbf3cc0a2caca0a6670779/diff:/var/lib/docker/overlay2/855afcb3d38eee6ac5e1accd3ab90f3ef7075bd44010628f97784cb5c1fe7364/diff",
            "MergedDir": "/var/lib/docker/overlay2/4e0c830f4fb33ac0bfe0eb77970f11750e5b0368d2068373fffc7bd4273dad2c/merged",
            "UpperDir": "/var/lib/docker/overlay2/4e0c830f4fb33ac0bfe0eb77970f11750e5b0368d2068373fffc7bd4273dad2c/diff",
            "WorkDir": "/var/lib/docker/overlay2/4e0c830f4fb33ac0bfe0eb77970f11750e5b0368d2068373fffc7bd4273dad2c/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:e437eb226c5d6bbd2c93a89e3708b0c005e0132aa682f109591fca659de658d1",
            "sha256:4c03e8e391d1443f071b295f97260e45b92b3df5f2a248c369434a143a5be1b1",
            "sha256:fdc01e9ff8a2f5cbe11111373e4b5f60a22ece493d2ebb3066e55a0bbabd1fd2",
            "sha256:226cc82ba2cb7de7e7639ceac53fa837b5dda11bcd040041637cd27df8153e35",
            "sha256:455bca42f6ec40ca42fea4bea15c6c17b97101af90413cdd25647de2b9d98960",
            "sha256:db795d97abb9832791d2c8dd934c4da3bb192e85441b6233c2f71003bbda2072",
            "sha256:47b4a9fedd85c6e92033a75b72dfa5e05109742bc71b173e7e22259479cba9c1",
            "sha256:b6a46ebcaeb27f0d9bfb0d28cda64e936ca308ad04599b9753e8faa3633b7965",
            "sha256:e31b427d35de1f9a311838589dc60c25682be30f5925ebf5a61a080bc5ef097d",
            "sha256:4e8dd784a10d659846976f1f5e477cfd020cdde77a1f89c7ae7f2103b4c594c3",
            "sha256:b5f2679eec3c17d8e9aec03d7d328fe488cc52d886149ad85f16c3a994e10697",
            "sha256:13595d4042e09c5f5470ba33588ad4d28d5639318c608ddf1d8837da69ccb163",
            "sha256:da5a1cbe5e6446733ceb7e182957f1367959e3a7bf374ea714dcf205eed8f876",
            "sha256:8ac9f1e2db83b32929a8e890634f71250d5ee8c3eb1b0315d3e5c0e8bf10355b",
            "sha256:09a480df91cc7d428e7bc14b724fd39364d1b2889f3f309426ece5b2675a62f7",
            "sha256:400bce816c605bde603b4771c6b89dda45ef0e1aac37e8aec99df2b29a0ac685",
            "sha256:8ca85af4ca35e3f0034775285c6dc2839c5693ac4038a122c27cf44aef24acab",
            "sha256:54129733c5dbed4d261f8b094d2c2d7edf324cfa8f64ebe83816ba826ab586b7",
            "sha256:94ae824f214509cd33b0d38aece2d1ae6ab5efe288c7ff4703a1dcad52029fc4",
            "sha256:df9d4fc3a32d14b505ed99266e118373f5e3733550529f81a3f365f1ce595679",
            "sha256:9a2d001f521d4b17e64947fd7cd1291e7fd0fffee43fa31ebb8543fd538b9b07"
        ]
    },
    "Metadata": {
        "LastTagTime": "2025-12-05T02:54:47.768994906+08:00"
    }
}