镜像构建历史
# 2026-05-28 19:33:00 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["vllm" "serve"]
# 2026-05-28 19:33:00 0.00B 添加元数据标签
LABEL org.opencontainers.image.source=https://github.com/vllm-project/vllm org.opencontainers.image.revision=unknown org.opencontainers.image.version=local/vllm-openai:dev org.opencontainers.image.url= ai.vllm.build.commit=unknown ai.vllm.build.pipeline=local ai.vllm.build.url= ai.vllm.image.tag=local/vllm-openai:dev
# 2026-05-28 19:33:00 0.00B 设置环境变量 VLLM_BUILD_COMMIT VLLM_BUILD_PIPELINE VLLM_BUILD_URL VLLM_IMAGE_TAG
ENV VLLM_BUILD_COMMIT=unknown VLLM_BUILD_PIPELINE=local VLLM_BUILD_URL= VLLM_IMAGE_TAG=local/vllm-openai:dev
# 2026-05-28 19:33:00 0.00B 设置环境变量 VLLM_USAGE_SOURCE
ENV VLLM_USAGE_SOURCE=production-docker-image
# 2026-05-28 19:33:00 1.42MB 执行命令并创建新的镜像层
RUN |14 TARGETPLATFORM=linux/arm64 INSTALL_KV_CONNECTORS=true CUDA_VERSION=13.0.1 VLLM_BUILD_COMMIT= VLLM_BUILD_PIPELINE= VLLM_BUILD_URL= VLLM_IMAGE_TAG= PIP_INDEX_URL= UV_INDEX_URL= PIP_EXTRA_INDEX_URL= UV_EXTRA_INDEX_URL= torch_cuda_arch_list=8.7 8.9 9.0 10.0+PTX 12.0 12.1 MOONCAKE_WHEEL_AARCH64= MOONCAKE_WHEEL_X86_64= /bin/sh -c uv pip install --system pytest # buildkit
# 2026-05-28 19:32:59 0.00B 执行命令并创建新的镜像层
RUN |14 TARGETPLATFORM=linux/arm64 INSTALL_KV_CONNECTORS=true CUDA_VERSION=13.0.1 VLLM_BUILD_COMMIT= VLLM_BUILD_PIPELINE= VLLM_BUILD_URL= VLLM_IMAGE_TAG= PIP_INDEX_URL= UV_INDEX_URL= PIP_EXTRA_INDEX_URL= UV_EXTRA_INDEX_URL= torch_cuda_arch_list=8.7 8.9 9.0 10.0+PTX 12.0 12.1 MOONCAKE_WHEEL_AARCH64= MOONCAKE_WHEEL_X86_64= /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.${CUDA_MAJOR}" /usr/local/cuda/lib64/libcudart.so; fi; fi; fi # buildkit
# 2026-05-28 19:32:58 0.00B 定义构建参数
ARG MOONCAKE_WHEEL_X86_64
# 2026-05-28 19:32:58 0.00B 定义构建参数
ARG MOONCAKE_WHEEL_AARCH64
# 2026-05-28 19:32:58 1.40GB 执行命令并创建新的镜像层
RUN |12 TARGETPLATFORM=linux/arm64 INSTALL_KV_CONNECTORS=true CUDA_VERSION=13.0.1 VLLM_BUILD_COMMIT= VLLM_BUILD_PIPELINE= VLLM_BUILD_URL= VLLM_IMAGE_TAG= PIP_INDEX_URL= UV_INDEX_URL= PIP_EXTRA_INDEX_URL= UV_EXTRA_INDEX_URL= torch_cuda_arch_list=8.7 8.9 9.0 10.0+PTX 12.0 12.1 /bin/sh -c CUDA_MAJOR="${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
# 2026-05-28 19:29:40 0.00B 设置环境变量 TORCH_CUDA_ARCH_LIST
ENV TORCH_CUDA_ARCH_LIST=8.7 8.9 9.0 10.0+PTX 12.0 12.1
# 2026-05-28 19:29:40 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
# 2026-05-28 19:29:40 0.00B 设置环境变量 UV_HTTP_TIMEOUT
ENV UV_HTTP_TIMEOUT=500
# 2026-05-28 19:29:40 0.00B 定义构建参数
ARG PIP_EXTRA_INDEX_URL UV_EXTRA_INDEX_URL
# 2026-05-28 19:29:40 0.00B 定义构建参数
ARG PIP_INDEX_URL UV_INDEX_URL
# 2026-05-28 19:29:40 0.00B 定义构建参数
ARG VLLM_IMAGE_TAG
# 2026-05-28 19:29:40 0.00B 定义构建参数
ARG VLLM_BUILD_URL
# 2026-05-28 19:29:40 0.00B 定义构建参数
ARG VLLM_BUILD_PIPELINE
# 2026-05-28 19:29:40 0.00B 定义构建参数
ARG VLLM_BUILD_COMMIT
# 2026-05-28 19:29:40 0.00B 定义构建参数
ARG CUDA_VERSION
# 2026-05-28 19:29:40 0.00B 定义构建参数
ARG INSTALL_KV_CONNECTORS=false
# 2026-05-28 19:29:40 0.00B 定义构建参数
ARG TARGETPLATFORM
# 2026-05-28 19:29:40 35.09KB 复制新文件或目录到容器中
COPY ./vllm/collect_env.py . # buildkit
# 2026-05-28 19:29:40 1.05MB 复制新文件或目录到容器中
COPY benchmarks benchmarks # buildkit
# 2026-05-28 19:29:40 1.31MB 复制新文件或目录到容器中
COPY examples examples # buildkit
# 2026-05-28 19:29:40 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
# 2026-05-28 19:29:40 1.55GB 执行命令并创建新的镜像层
RUN |22 CUDA_VERSION=13.0.1 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=0.6.11.post2 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu22_04 TARGETPLATFORM=linux/arm64 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
# 2026-05-28 19:20:20 29.58MB 执行命令并创建新的镜像层
RUN |22 CUDA_VERSION=13.0.1 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=0.6.11.post2 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu22_04 TARGETPLATFORM=linux/arm64 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 $CUDA_VERSION | cut -d. -f1,2 | tr -d '.') # buildkit
# 2026-05-28 19:20:20 0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64
# 2026-05-28 19:20:20 0.00B 执行命令并创建新的镜像层
RUN |22 CUDA_VERSION=13.0.1 PYTHON_VERSION=3.12 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py PYTORCH_CUDA_INDEX_BASE_URL=https://download.pytorch.org/whl FLASHINFER_VERSION=0.6.11.post2 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu22_04 TARGETPLATFORM=linux/arm64 BITSANDBYTES_VERSION_X86=0.46.1 BITSANDBYTES_VERSION_ARM64=0.42.0 TIMM_VERSION=>=1.0.17 RUNAI_MODEL_STREAMER_VERSION=>=0.15.7 PIP_INDEX_URL= UV_INDEX_URL= PIP_EXTRA_INDEX_URL= UV_EXTRA_INDEX_URL= PYTORCH_CUDA_INDEX_BASE_URL=https://download.pytorch.org/whl PIP_KEYRING_PROVIDER=disabled UV_KEYRING_PROVIDER=disabled PYTORCH_NIGHTLY= /bin/sh -c . /etc/environment && uv pip list # buildkit
# 2026-05-28 19:20:19 824.62MB 执行命令并创建新的镜像层
RUN |22 CUDA_VERSION=13.0.1 PYTHON_VERSION=3.12 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py PYTORCH_CUDA_INDEX_BASE_URL=https://download.pytorch.org/whl FLASHINFER_VERSION=0.6.11.post2 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu22_04 TARGETPLATFORM=linux/arm64 BITSANDBYTES_VERSION_X86=0.46.1 BITSANDBYTES_VERSION_ARM64=0.42.0 TIMM_VERSION=>=1.0.17 RUNAI_MODEL_STREAMER_VERSION=>=0.15.7 PIP_INDEX_URL= UV_INDEX_URL= PIP_EXTRA_INDEX_URL= UV_EXTRA_INDEX_URL= PYTORCH_CUDA_INDEX_BASE_URL=https://download.pytorch.org/whl PIP_KEYRING_PROVIDER=disabled UV_KEYRING_PROVIDER=disabled PYTORCH_NIGHTLY= /bin/sh -c if [ "${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 $CUDA_VERSION | cut -d. -f1,2 | tr -d '.'); fi # buildkit
# 2026-05-28 18:52:40 71.00B 复制新文件或目录到容器中
COPY /workspace/torch_lib_versions.txt torch_lib_versions.txt # buildkit
# 2026-05-28 18:52:40 0.00B 定义构建参数
ARG PYTORCH_NIGHTLY
# 2026-05-28 18:52:40 0.00B 定义构建参数
ARG PIP_KEYRING_PROVIDER UV_KEYRING_PROVIDER
# 2026-05-28 18:52:40 0.00B 定义构建参数
ARG PYTORCH_CUDA_INDEX_BASE_URL
# 2026-05-28 18:52:40 0.00B 定义构建参数
ARG PIP_EXTRA_INDEX_URL UV_EXTRA_INDEX_URL
# 2026-05-28 18:52:40 0.00B 定义构建参数
ARG PIP_INDEX_URL UV_INDEX_URL
# 2026-05-28 18:52:40 576.26MB 执行命令并创建新的镜像层
RUN |14 CUDA_VERSION=13.0.1 PYTHON_VERSION=3.12 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py PYTORCH_CUDA_INDEX_BASE_URL=https://download.pytorch.org/whl FLASHINFER_VERSION=0.6.11.post2 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu22_04 TARGETPLATFORM=linux/arm64 BITSANDBYTES_VERSION_X86=0.46.1 BITSANDBYTES_VERSION_ARM64=0.42.0 TIMM_VERSION=>=1.0.17 RUNAI_MODEL_STREAMER_VERSION=>=0.15.7 /bin/sh -c if [ "$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]${RUNAI_MODEL_STREAMER_VERSION}" # buildkit
# 2026-05-28 18:52:31 0.00B 定义构建参数
ARG RUNAI_MODEL_STREAMER_VERSION=>=0.15.7
# 2026-05-28 18:52:31 0.00B 定义构建参数
ARG TIMM_VERSION=>=1.0.17
# 2026-05-28 18:52:31 0.00B 定义构建参数
ARG BITSANDBYTES_VERSION_ARM64=0.42.0
# 2026-05-28 18:52:31 0.00B 定义构建参数
ARG BITSANDBYTES_VERSION_X86=0.46.1
# 2026-05-28 18:52:31 2.41MB 执行命令并创建新的镜像层
RUN |10 CUDA_VERSION=13.0.1 PYTHON_VERSION=3.12 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py PYTORCH_CUDA_INDEX_BASE_URL=https://download.pytorch.org/whl FLASHINFER_VERSION=0.6.11.post2 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu22_04 TARGETPLATFORM=linux/arm64 /bin/sh -c set -eux; case "${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
# 2026-05-28 18:52:24 1.44KB 复制新文件或目录到容器中
COPY tools/install_gdrcopy.sh /tmp/install_gdrcopy.sh # buildkit
# 2026-05-28 18:52:23 0.00B 定义构建参数
ARG TARGETPLATFORM
# 2026-05-28 18:52:23 0.00B 定义构建参数
ARG GDRCOPY_OS_VERSION=Ubuntu22_04
# 2026-05-28 18:52:23 0.00B 定义构建参数
ARG GDRCOPY_CUDA_VERSION=12.8
# 2026-05-28 18:52:23 9.43GB 执行命令并创建新的镜像层
RUN |7 CUDA_VERSION=13.0.1 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=0.6.11.post2 /bin/sh -c uv pip install --system flashinfer-jit-cache==${FLASHINFER_VERSION} --extra-index-url https://flashinfer.ai/whl/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.') # buildkit
# 2026-05-28 18:48:57 0.00B 定义构建参数
ARG FLASHINFER_VERSION=0.6.11.post2
# 2026-05-28 18:48:57 7.90GB 执行命令并创建新的镜像层
RUN |6 CUDA_VERSION=13.0.1 PYTHON_VERSION=3.12 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py PYTORCH_CUDA_INDEX_BASE_URL=https://download.pytorch.org/whl /bin/sh -c if [ "$(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 $CUDA_VERSION | cut -d. -f1)" = "13" ]; then CUTLASS_DSL_VER=$(uv pip show --system nvidia-cutlass-dsl | awk '/^Version:/ {print $2}') && { [ -n "${CUTLASS_DSL_VER}" ] || { echo "ERROR: failed to detect nvidia-cutlass-dsl version" >&2; exit 1; }; } && uv pip uninstall --system nvidia-cutlass-dsl-libs-base nvidia-cutlass-dsl-libs-cu13 && uv pip install --system nvidia-cutlass-dsl-libs-base==${CUTLASS_DSL_VER} && uv pip install --system nvidia-cutlass-dsl-libs-cu13==${CUTLASS_DSL_VER}; fi && rm /tmp/requirements-cuda.txt /tmp/common.txt # buildkit
# 2026-05-28 18:47:34 971.00B 复制新文件或目录到容器中
COPY requirements/cuda.txt /tmp/requirements-cuda.txt # buildkit
# 2026-05-28 18:47:34 3.07KB 复制新文件或目录到容器中
COPY requirements/common.txt /tmp/common.txt # buildkit
# 2026-05-28 18:47:34 0.00B 定义构建参数
ARG PYTORCH_CUDA_INDEX_BASE_URL
# 2026-05-28 18:47:34 0.00B 设置环境变量 VLLM_ENABLE_CUDA_COMPATIBILITY
ENV VLLM_ENABLE_CUDA_COMPATIBILITY=0
# 2026-05-28 18:47:34 3.69KB 执行命令并创建新的镜像层
RUN |5 CUDA_VERSION=13.0.1 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
# 2026-05-28 18:47:33 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
# 2026-05-28 18:47:33 665.72KB 执行命令并创建新的镜像层
RUN |5 CUDA_VERSION=13.0.1 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
# 2026-05-28 18:47:32 0.00B 执行命令并创建新的镜像层
RUN |5 CUDA_VERSION=13.0.1 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
# 2026-05-28 18:47:31 0.00B 设置环境变量 UV_CACHE_DIR
ENV UV_CACHE_DIR=/opt/uv/cache
# 2026-05-28 18:47:31 0.00B 设置环境变量 UV_PYTHON_INSTALL_DIR
ENV UV_PYTHON_INSTALL_DIR=/opt/uv/python
# 2026-05-28 18:47:31 0.00B 设置环境变量 UV_LINK_MODE
ENV UV_LINK_MODE=copy
# 2026-05-28 18:47:31 0.00B 设置环境变量 UV_INDEX_STRATEGY
ENV UV_INDEX_STRATEGY=unsafe-best-match
# 2026-05-28 18:47:31 0.00B 设置环境变量 UV_HTTP_TIMEOUT
ENV UV_HTTP_TIMEOUT=500
# 2026-05-28 18:47:31 76.23MB 执行命令并创建新的镜像层
RUN |5 CUDA_VERSION=13.0.1 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
# 2026-05-28 18:47:29 3.04GB 执行命令并创建新的镜像层
RUN |5 CUDA_VERSION=13.0.1 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
# 2026-05-28 18:45:54 568.14MB 执行命令并创建新的镜像层
RUN |5 CUDA_VERSION=13.0.1 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
# 2026-05-28 18:42:54 136.00B 执行命令并创建新的镜像层
RUN |5 CUDA_VERSION=13.0.1 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
# 2026-05-28 18:42:05 0.00B 设置工作目录为/vllm-workspace
WORKDIR /vllm-workspace
# 2026-05-28 18:42:05 0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
# 2026-05-28 18:42:05 0.00B 定义构建参数
ARG GET_PIP_URL
# 2026-05-28 18:42:05 0.00B 定义构建参数
ARG DEADSNAKES_GPGKEY_URL
# 2026-05-28 18:42:05 0.00B 定义构建参数
ARG DEADSNAKES_MIRROR_URL
# 2026-05-28 18:42:05 0.00B 定义构建参数
ARG PYTHON_VERSION
# 2026-05-28 18:42:05 0.00B 定义构建参数
ARG CUDA_VERSION
# 2025-09-09 01:23:07 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2025-09-09 01:23:07 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2025-09-09 01:23:07 17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
# 2025-09-09 01:23:07 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
# 2025-09-09 01:23:07 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
# 2025-09-09 01:23:07 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
# 2025-09-09 01:23:07 303.50MB 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-13-0=${NV_CUDA_CUDART_VERSION} cuda-compat-13-0 && rm -rf /var/lib/apt/lists/* # buildkit
# 2025-09-09 01:23:07 0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=13.0.1
# 2025-09-09 01:23:07 10.21MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=arm64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${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
# 2025-09-09 01:23:07 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2025-09-09 01:23:07 0.00B 定义构建参数
ARG TARGETARCH
# 2025-09-09 01:23:07 0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=13.0.88-1
# 2025-09-09 01:23:07 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
# 2025-09-09 01:23:07 0.00B 设置环境变量 NVARCH
ENV NVARCH=sbsa
# 2025-08-20 01:21:19 0.00B
/bin/sh -c #(nop) CMD ["/bin/bash"]
# 2025-08-20 01:21:19 69.25MB
/bin/sh -c #(nop) ADD file:5f2c65daac761cc691b34ee3e3e2ba42ec520d71fc59aef131d38058a7891ab8 in /
# 2025-08-20 01:21:17 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.version=22.04
# 2025-08-20 01:21:17 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
# 2025-08-20 01:21:17 0.00B
/bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
# 2025-08-20 01:21:17 0.00B
/bin/sh -c #(nop) ARG RELEASE
镜像信息
{
"Id": "sha256:1790a321b67d8b4fe6bf4c09192ff102698fd704d1463b8706e7c954cbd081d2",
"RepoTags": [
"vllm/vllm-openai:stepfun37-arm64-cu130",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai:stepfun37-arm64-cu130-linuxarm64"
],
"RepoDigests": [
"vllm/vllm-openai@sha256:00417ffbb7db2c9b0c7aafe6bb18348facfe45d2d0211fa908ca75af8f962e75",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/vllm/vllm-openai@sha256:188d2ab7bb715ccfcba1953a4e3f3a005d0d848a9ac5f19a49c02f4038426321"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2026-05-28T11:33:00.090912015Z",
"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/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
"NVARCH=sbsa",
"NVIDIA_REQUIRE_CUDA=cuda\u003e=13.0 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=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 brand=unknown,driver\u003e=575,driver\u003c576 brand=grid,driver\u003e=575,driver\u003c576 brand=tesla,driver\u003e=575,driver\u003c576 brand=nvidia,driver\u003e=575,driver\u003c576 brand=quadro,driver\u003e=575,driver\u003c576 brand=quadrortx,driver\u003e=575,driver\u003c576 brand=nvidiartx,driver\u003e=575,driver\u003c576 brand=vapps,driver\u003e=575,driver\u003c576 brand=vpc,driver\u003e=575,driver\u003c576 brand=vcs,driver\u003e=575,driver\u003c576 brand=vws,driver\u003e=575,driver\u003c576 brand=cloudgaming,driver\u003e=575,driver\u003c576",
"NV_CUDA_CUDART_VERSION=13.0.88-1",
"CUDA_VERSION=13.0.1",
"LD_LIBRARY_PATH=/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/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",
"UV_PYTHON_INSTALL_DIR=/opt/uv/python",
"UV_CACHE_DIR=/opt/uv/cache",
"VLLM_ENABLE_CUDA_COMPATIBILITY=0",
"TORCH_CUDA_ARCH_LIST=8.7 8.9 9.0 10.0+PTX 12.0 12.1",
"VLLM_USAGE_SOURCE=production-docker-image",
"VLLM_BUILD_COMMIT=unknown",
"VLLM_BUILD_PIPELINE=local",
"VLLM_BUILD_URL=",
"VLLM_IMAGE_TAG=local/vllm-openai:dev"
],
"Cmd": null,
"Image": "",
"Volumes": null,
"WorkingDir": "/vllm-workspace",
"Entrypoint": [
"vllm",
"serve"
],
"OnBuild": null,
"Labels": {
"ai.vllm.build.commit": "unknown",
"ai.vllm.build.pipeline": "local",
"ai.vllm.build.url": "",
"ai.vllm.image.tag": "local/vllm-openai:dev",
"maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
"org.opencontainers.image.ref.name": "ubuntu",
"org.opencontainers.image.revision": "unknown",
"org.opencontainers.image.source": "https://github.com/vllm-project/vllm",
"org.opencontainers.image.url": "",
"org.opencontainers.image.version": "local/vllm-openai:dev"
}
},
"Architecture": "arm64",
"Os": "linux",
"Size": 25794709519,
"GraphDriver": {
"Data": {
"LowerDir": "/var/lib/docker/overlay2/bb73514202d04fd6ad52b28a4a46367d81a719271afca3071abd88a96fdcf9d7/diff:/var/lib/docker/overlay2/35a6b2c61f6b3256c5c314ddeba2799737e68cd9e29210fad2b0df3d257ab855/diff:/var/lib/docker/overlay2/5cb4ad57c18a015533329a81962f50ad6503992a98a3956b787a0dcaefabaa64/diff:/var/lib/docker/overlay2/102b49ca6e2b29af283b0370a39c07245e8af6b12368937b41b24be8330db2a0/diff:/var/lib/docker/overlay2/66111b61907bacd999b8510bfb549e2a5303701fb22f52ed664c9021d6ecb6ea/diff:/var/lib/docker/overlay2/c15e550d1d96cb9165379a657b9382854399d9cfd958d0ccb8dd906aff225b07/diff:/var/lib/docker/overlay2/7290ffdd14a139ba3f9fb99005c2db511f823623be96bb5da3f59865fb28108a/diff:/var/lib/docker/overlay2/f4a5613656ac0d2fba8412c54cddc6570bdac15e0350c73b038f1643e59c7bc8/diff:/var/lib/docker/overlay2/f52995b506b0fd7be2c2a0a039e3bc0ed966b0ecacb83b7cd100a770554f0c09/diff:/var/lib/docker/overlay2/b2a3e7fcf92a454862851f1ce7b9fca53f979af7744c0faa9eb37d37234a8679/diff:/var/lib/docker/overlay2/62faf954d82ef095a6b03b983a458ecdb7452d7b2b742d5dff2f9e994b9e9d6e/diff:/var/lib/docker/overlay2/021e7131ffa088daccad275b452194e3608b2e07f2226040b2baec9283080720/diff:/var/lib/docker/overlay2/5c458e40469e5325dcfee016b55c73bcd09c07b16259931022aa8ecfc612f507/diff:/var/lib/docker/overlay2/d7e856872a3740cd9112eac981b51cd31557c46e5e6e432d82407021537f1eac/diff:/var/lib/docker/overlay2/1323a826746ef6025edd26a15b589826e9f1d9af3c34e097dc770b8ac77e1a45/diff:/var/lib/docker/overlay2/fa691b7607e65448e20ccc8f3494af51e599bb723c4cd041ff9a3b28565e9b59/diff:/var/lib/docker/overlay2/8d39b09739877bc2d3531d2cb24063fa042daab540d1957fcbdb9654ee69aec0/diff:/var/lib/docker/overlay2/b5a505ebb7ffa8e981fdbd9f24f8853f81ea80ac3bbe3a8efb61f8157024688b/diff:/var/lib/docker/overlay2/f87af742e8cc2fb7f30a30fb9e040aa5649d1bf0e5bfa0e0b746238f97aa4bed/diff:/var/lib/docker/overlay2/148a87036e9494196caa674d554d75daa001ea1759904e093f6170a51745cd0f/diff:/var/lib/docker/overlay2/9e72e6fc3cbfb9448ebadb6e9b27896b4a853cb9b0f2f75c79d41fa306b1e8de/diff:/var/lib/docker/overlay2/e99fdbcce3dd9cdc5c4480623aa3f33a63e41700732a0d02e5cbc9bdce8b7d5e/diff:/var/lib/docker/overlay2/61a74c5ba68d03d10f8e836a2369601785563a5d61fc945d25664966eea7bcbd/diff:/var/lib/docker/overlay2/d34c7fd267fc4cabf05fd177b1d50f6641f5ca9081bd1e2fec33efaf5af29088/diff:/var/lib/docker/overlay2/a34a601909815fb9d0686d671acaf52a4d6d88d794d97253aa318bbee6b89ce1/diff:/var/lib/docker/overlay2/19da0d2fb9b0c9b1b85a6a83c613c8df21f1e1665f91fd3650c3aee98e63036f/diff:/var/lib/docker/overlay2/961684aad6c76555a1aabe774c26e5bfd7d8436a183b7ac42f38c39b52969c08/diff:/var/lib/docker/overlay2/2da3362ce041572dca2d5bf8cc517690ca89ff66fb716a3040f9d461df0fd10f/diff:/var/lib/docker/overlay2/55eb1c3ff13dc2d87fd417b24eefab36063986e74d8f383fbe29d3a8f33cf958/diff:/var/lib/docker/overlay2/cf299dc813c6840c36ec4906656b7935227d03817a7cb8285fc66dee37e529a5/diff:/var/lib/docker/overlay2/2ad3c85bfd7ad0673ce0441da2054396d799348ea93d0749d38b4a0576158192/diff",
"MergedDir": "/var/lib/docker/overlay2/88f87d5cc677f4ca11d6cd1cc502d6eaf022343b20f43a51427d83b03be07f44/merged",
"UpperDir": "/var/lib/docker/overlay2/88f87d5cc677f4ca11d6cd1cc502d6eaf022343b20f43a51427d83b03be07f44/diff",
"WorkDir": "/var/lib/docker/overlay2/88f87d5cc677f4ca11d6cd1cc502d6eaf022343b20f43a51427d83b03be07f44/work"
},
"Name": "overlay2"
},
"RootFS": {
"Type": "layers",
"Layers": [
"sha256:3e04ae02e3b48a52cd15f8595efd67e8ab7b3e9766f7d1e12a25c8c76f3a86bf",
"sha256:71adbbf158ee0f6f368160ea2ed102435749a2720b8eca69dfdb2d1f47a55680",
"sha256:31dbd0fa0bdc5599759cd67617f924de243a225e1d95776b9e6a5c404f399e43",
"sha256:4762a460f72d9950e1b8a8b6775e3e631bc418f9f915501879f29f7fec97fcd8",
"sha256:495bbaf4cc5ca53d8286fe305d2fc2fd3ecb2c8791cfdd4473e984d2eb0f3ea1",
"sha256:d7be4872892d5729349750d824a9b8a9cc79804cea4d6e462a1f5e689d1716c6",
"sha256:107170c4860a25a32c91589f0dfe806bae46164078204eb956e46270d777795b",
"sha256:bc8a78163c8e9de5b9362787b043e968802dbd5d30e97d811db30fccf1155476",
"sha256:eb7425ef018df5c9646e1dd4cbb3c877b4dbee8c580d9aa436ce1572f41e3c8d",
"sha256:965a81adc76eeb93e8f19b6e9b7543f375c0cf4b08f2de1254a42bc06d13e79f",
"sha256:6a279b6085cd4561ba16ccfbefead27ed6116537af59877bf310b420a9c8a3dc",
"sha256:9fe04a2d334b52a2b961e2921ecd430dc9d501e06cb626f0969ed4a46294c8af",
"sha256:148bcff4b50663c25cb2376069fa62d5ce22307a83312cb2471ed79fccec5361",
"sha256:148bcff4b50663c25cb2376069fa62d5ce22307a83312cb2471ed79fccec5361",
"sha256:9c253929baa4517cb041b34fdd6d1d2ee0abf95c9278017fc2c75c8530cdf8cd",
"sha256:6b8cc317be6edd03544b6df5b85a3e75fbbff55ccf83e5ffcb292c5b36b06071",
"sha256:6987ac496744cb35d80a953cab324af2f3fc0cd51923c6f33619702b469d6509",
"sha256:60f26c12dc7cd9fbb170633c9b52573a714e926fae5daff3b66e847f333be4a2",
"sha256:81d2661a862c7440b318dbf119143f4b3f8f95898ecc36cf98cabb9d88cbbe26",
"sha256:158ecb83cee3d939fbdb17f38efaf6077301ae9777786aa0054287ec60521031",
"sha256:cd5410c04314beb3cfc949ef472e5c1c5e1b4eb64e6ac0c4b16b84cfc7bb60d9",
"sha256:cad590238222083b492431210e38c92979e7830f9eeb11fb7bb0807539020801",
"sha256:bd08a6392ebb9c035d4c7f3f7a238249191a664e0841c30fd7017f8fcd4f5928",
"sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
"sha256:acc86ac3d62090aeec5d6f0faf43a68ebb8859da77b0fe14ca74ef7c3706c900",
"sha256:566dcea455712427726bce71e7be14b19b7481a5721cb5b06817c20dd30483e1",
"sha256:6e17143bfef65dbcf8a11c589ec7e24ebc3191e8161449a0053492b1e5979399",
"sha256:343c0850b1017b03bfddb00005a23fceb9d1896e56609c2c5fdf2e972e4698a0",
"sha256:f1158130c30c6bedc053386d52d17b5132454c8f2ae39c34031fc706c7961795",
"sha256:cb4411adc4d08c80eee8a8682411fe53e4ca5b310995fa0f836a4f0fb5d1ffdd",
"sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
"sha256:ceb2352ed94753027f8fed0893a01a495b45265780cf521ec744596987536bf8"
]
},
"Metadata": {
"LastTagTime": "2026-06-06T00:35:25.636296031+08:00"
}
}