镜像构建历史
# 2026-09-20 12:43:20 0.00B 配置容器启动时运行的命令
ENTRYPOINT []
# 2026-09-20 12:43:20 70.00MB 复制新文件或目录到容器中
COPY . . # buildkit
# 2026-09-20 12:43:19 0.00B 设置工作目录为/opt/vllm-omni
WORKDIR /opt/vllm-omni
# 2026-09-20 12:43:19 0.00B 定义构建参数
ARG APP_DIR=/opt/vllm-omni
# 2026-09-20 12:43:19 3.85GB 执行命令并创建新的镜像层
RUN |1 APP_DIR=/opt/vllm-omni /bin/sh -c uv pip install --system -e ".[dev]" # buildkit
# 2026-09-20 12:42:55 0.00B 设置环境变量 SETUPTOOLS_SCM_PRETEND_VERSION
ENV SETUPTOOLS_SCM_PRETEND_VERSION=0.0.0
# 2026-09-20 12:42:55 2.23KB 复制新文件或目录到容器中
COPY requirements/ requirements/ # buildkit
# 2026-09-20 12:42:55 22.81KB 复制新文件或目录到容器中
COPY pyproject.toml setup.py ./ # buildkit
# 2026-09-20 12:42:55 38.10MB 执行命令并创建新的镜像层
RUN |1 APP_DIR=/opt/vllm-omni /bin/sh -c apt-get update && apt-get install -y espeak-ng git jq && apt-get clean && rm -rf /var/lib/apt/lists/* # buildkit
# 2026-09-20 12:42:46 0.00B 执行命令并创建新的镜像层
RUN |1 APP_DIR=/opt/vllm-omni /bin/sh -c mkdir -p vllm_omni && touch vllm_omni/__init__.py # buildkit
# 2026-09-20 12:42:45 16.00B 执行命令并创建新的镜像层
RUN |1 APP_DIR=/opt/vllm-omni /bin/sh -c ln -sf /usr/bin/python3 /usr/bin/python # buildkit
# 2026-09-20 12:42:45 0.00B 设置工作目录为/opt/vllm-omni
WORKDIR /opt/vllm-omni
# 2026-09-20 12:42:45 0.00B 定义构建参数
ARG APP_DIR=/opt/vllm-omni
# 2026-09-09 10:21:16 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["vllm" "serve"]
# 2026-09-09 10:21:16 0.00B 添加元数据标签
LABEL org.opencontainers.image.source=https://github.com/vllm-project/vllm org.opencontainers.image.revision=98dff2a81d747d1dba01a47f939f48c3526d4206 org.opencontainers.image.version=vllm/vllm-openai:v0.29.0 org.opencontainers.image.url=https://buildkite.com/vllm/release-v2/builds/6292 ai.vllm.build.commit=98dff2a81d747d1dba01a47f939f48c3526d4206 ai.vllm.build.pipeline=019d130e-464e-4ff7-b84b-492992c0c06b ai.vllm.build.url=https://buildkite.com/vllm/release-v2/builds/6292 ai.vllm.image.tag=vllm/vllm-openai:v0.29.0
# 2026-09-09 10:21:16 0.00B 设置环境变量 VLLM_BUILD_COMMIT VLLM_BUILD_PIPELINE VLLM_BUILD_URL VLLM_IMAGE_TAG
ENV VLLM_BUILD_COMMIT=98dff2a81d747d1dba01a47f939f48c3526d4206 VLLM_BUILD_PIPELINE=019d130e-464e-4ff7-b84b-492992c0c06b VLLM_BUILD_URL=https://buildkite.com/vllm/release-v2/builds/6292 VLLM_IMAGE_TAG=vllm/vllm-openai:v0.29.0
# 2026-09-09 10:21:16 0.00B 设置环境变量 VLLM_USAGE_SOURCE
ENV VLLM_USAGE_SOURCE=production-docker-image
# 2026-09-09 10:21:16 0.00B 执行命令并创建新的镜像层
RUN |14 TARGETPLATFORM=linux/arm64 INSTALL_KV_CONNECTORS=true INSTALL_RUBIN_PRERELEASE=false TRITON_INSTALL_FROM_SOURCE_REPO= CUDA_VERSION=13.0.2 VLLM_BUILD_COMMIT=98dff2a81d747d1dba01a47f939f48c3526d4206 VLLM_BUILD_PIPELINE=019d130e-464e-4ff7-b84b-492992c0c06b VLLM_BUILD_URL=https://buildkite.com/vllm/release-v2/builds/6292 VLLM_IMAGE_TAG=vllm/vllm-openai:v0.29.0 PIP_INDEX_URL= UV_INDEX_URL= PIP_EXTRA_INDEX_URL= UV_EXTRA_INDEX_URL= torch_cuda_arch_list=8.0 8.7 8.9 9.0 10.0 11.0 12.0 /bin/sh -c if [ -n "${TRITON_INSTALL_FROM_SOURCE_REPO}" ]; then CUDA_MAJOR_MINOR=$(echo "${CUDA_VERSION}" | cut -d. -f1,2); if [ "${INSTALL_RUBIN_PRERELEASE}" = "true" ]; then case "${CUDA_MAJOR_MINOR}" in 13.4|13.5) TRITON_SYSTEM_PTXAS_PATH=/usr/local/cuda/bin/ptxas TRITON_EXPECTED_PTXAS_VERSION="${CUDA_MAJOR_MINOR}" bash /tmp/install_triton_from_source.sh /tmp/triton-source-dist /tmp/triton-source-wheel.sha256 ;; *) echo "Unsupported Rubin CUDA version: ${CUDA_MAJOR_MINOR}" >&2; exit 1 ;; esac; else bash /tmp/install_triton_from_source.sh /tmp/triton-source-dist /tmp/triton-source-wheel.sha256; fi; fi && rm -f /tmp/install_triton_from_source.sh /tmp/triton-source-wheel.sha256 # buildkit
# 2026-09-09 10:21:16 1.51KB 复制新文件或目录到容器中
COPY tools/install_triton_from_source.sh /tmp/install_triton_from_source.sh # buildkit
# 2026-09-09 10:21:16 78.00B 复制新文件或目录到容器中
COPY /tmp/triton_from_source_workspace/dist/wheel.sha256 /tmp/triton-source-wheel.sha256 # buildkit
# 2026-09-09 10:21:16 0.00B 执行命令并创建新的镜像层
RUN |14 TARGETPLATFORM=linux/arm64 INSTALL_KV_CONNECTORS=true INSTALL_RUBIN_PRERELEASE=false TRITON_INSTALL_FROM_SOURCE_REPO= CUDA_VERSION=13.0.2 VLLM_BUILD_COMMIT=98dff2a81d747d1dba01a47f939f48c3526d4206 VLLM_BUILD_PIPELINE=019d130e-464e-4ff7-b84b-492992c0c06b VLLM_BUILD_URL=https://buildkite.com/vllm/release-v2/builds/6292 VLLM_IMAGE_TAG=vllm/vllm-openai:v0.29.0 PIP_INDEX_URL= UV_INDEX_URL= PIP_EXTRA_INDEX_URL= UV_EXTRA_INDEX_URL= torch_cuda_arch_list=8.0 8.7 8.9 9.0 10.0 11.0 12.0 /bin/sh -c if [ "${INSTALL_RUBIN_PRERELEASE}" = "true" ]; then echo "Installing Rubin prerelease requirements..." && uv pip install --system -r /tmp/vllm-requirements/rubin-prerelease.txt; fi # buildkit
# 2026-09-09 10:21:15 1.51GB 执行命令并创建新的镜像层
RUN |14 TARGETPLATFORM=linux/arm64 INSTALL_KV_CONNECTORS=true INSTALL_RUBIN_PRERELEASE=false TRITON_INSTALL_FROM_SOURCE_REPO= CUDA_VERSION=13.0.2 VLLM_BUILD_COMMIT=98dff2a81d747d1dba01a47f939f48c3526d4206 VLLM_BUILD_PIPELINE=019d130e-464e-4ff7-b84b-492992c0c06b VLLM_BUILD_URL=https://buildkite.com/vllm/release-v2/builds/6292 VLLM_IMAGE_TAG=vllm/vllm-openai:v0.29.0 PIP_INDEX_URL= UV_INDEX_URL= PIP_EXTRA_INDEX_URL= UV_EXTRA_INDEX_URL= torch_cuda_arch_list=8.0 8.7 8.9 9.0 10.0 11.0 12.0 /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 ${BUILD_PKGS} && rm -rf /var/lib/apt/lists/* ); MOONCAKE_VERSION=$(python3 -c "import importlib.metadata as m; print(m.version('mooncake-transfer-engine'))" 2>/dev/null || true) && if [ "${CUDA_MAJOR}" = "13" ] && [ -n "${MOONCAKE_VERSION}" ]; then uv pip uninstall --system mooncake-transfer-engine 2>/dev/null || true; uv pip install --system "mooncake-transfer-engine-cuda13==${MOONCAKE_VERSION}"; fi; fi # buildkit
# 2026-09-09 10:21:09 0.00B 设置环境变量 TORCH_CUDA_ARCH_LIST
ENV TORCH_CUDA_ARCH_LIST=8.0 8.7 8.9 9.0 10.0 11.0 12.0
# 2026-09-09 10:21:09 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
# 2026-09-09 10:21:09 0.00B 设置环境变量 UV_HTTP_TIMEOUT
ENV UV_HTTP_TIMEOUT=500
# 2026-09-09 10:21:09 0.00B 定义构建参数
ARG PIP_EXTRA_INDEX_URL UV_EXTRA_INDEX_URL
# 2026-09-09 10:21:09 0.00B 定义构建参数
ARG PIP_INDEX_URL UV_INDEX_URL
# 2026-09-09 10:21:09 0.00B 定义构建参数
ARG VLLM_IMAGE_TAG
# 2026-09-09 10:21:09 0.00B 定义构建参数
ARG VLLM_BUILD_URL
# 2026-09-09 10:21:09 0.00B 定义构建参数
ARG VLLM_BUILD_PIPELINE
# 2026-09-09 10:21:09 0.00B 定义构建参数
ARG VLLM_BUILD_COMMIT
# 2026-09-09 10:21:09 0.00B 定义构建参数
ARG CUDA_VERSION
# 2026-09-09 10:21:09 0.00B 定义构建参数
ARG TRITON_INSTALL_FROM_SOURCE_REPO
# 2026-09-09 10:21:09 0.00B 定义构建参数
ARG INSTALL_RUBIN_PRERELEASE
# 2026-09-09 10:21:09 0.00B 定义构建参数
ARG INSTALL_KV_CONNECTORS=false
# 2026-09-09 10:21:09 0.00B 定义构建参数
ARG TARGETPLATFORM
# 2026-09-09 10:21:09 35.04KB 复制新文件或目录到容器中
COPY ./vllm/collect_env.py . # buildkit
# 2026-09-09 10:21:09 1.25MB 复制新文件或目录到容器中
COPY benchmarks benchmarks # buildkit
# 2026-09-09 10:21:09 1.33MB 复制新文件或目录到容器中
COPY examples examples # buildkit
# 2026-09-09 10:21:09 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
# 2026-09-09 10:21:09 40.81MB 执行命令并创建新的镜像层
RUN |8 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 $CUDA_VERSION | cut -d. -f1,2 | tr -d '.') # buildkit
# 2026-09-09 10:21:08 147.00B 复制新文件或目录到容器中
COPY /tmp/ep_kernels_workspace/dist/wheels.sha256 /tmp/ep-kernels-wheels.sha256 # buildkit
# 2026-09-09 10:21:08 0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64
# 2026-09-09 10:21:08 0.00B 执行命令并创建新的镜像层
RUN |8 PIP_INDEX_URL= UV_INDEX_URL= PIP_EXTRA_INDEX_URL= UV_EXTRA_INDEX_URL= PYTORCH_CUDA_INDEX_BASE_URL=https://download.pytorch.org/whl PIP_KEYRING_PROVIDER=disabled UV_KEYRING_PROVIDER=disabled PYTORCH_NIGHTLY= /bin/sh -c . /etc/environment && uv pip list # buildkit
# 2026-09-09 10:21:08 1.01GB 执行命令并创建新的镜像层
RUN |8 PIP_INDEX_URL= UV_INDEX_URL= PIP_EXTRA_INDEX_URL= UV_EXTRA_INDEX_URL= PYTORCH_CUDA_INDEX_BASE_URL=https://download.pytorch.org/whl PIP_KEYRING_PROVIDER=disabled UV_KEYRING_PROVIDER=disabled PYTORCH_NIGHTLY= /bin/sh -c if [ "${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 $CUDA_VERSION | cut -d. -f1,2 | tr -d '.'); fi # buildkit
# 2026-09-09 10:21:05 111.00B 复制新文件或目录到容器中
COPY /workspace/dist/wheel.sha256 /tmp/vllm-wheel.sha256 # buildkit
# 2026-09-09 10:06:06 71.00B 复制新文件或目录到容器中
COPY /workspace/torch_lib_versions.txt torch_lib_versions.txt # buildkit
# 2026-09-09 09:54:22 0.00B 定义构建参数
ARG PYTORCH_NIGHTLY
# 2026-09-09 09:54:22 0.00B 定义构建参数
ARG PIP_KEYRING_PROVIDER UV_KEYRING_PROVIDER
# 2026-09-09 09:54:22 0.00B 定义构建参数
ARG PYTORCH_CUDA_INDEX_BASE_URL
# 2026-09-09 09:54:22 0.00B 定义构建参数
ARG PIP_EXTRA_INDEX_URL UV_EXTRA_INDEX_URL
# 2026-09-09 09:54:22 0.00B 定义构建参数
ARG PIP_INDEX_URL UV_INDEX_URL
# 2026-09-09 09:54:22 484.25MB 执行命令并创建新的镜像层
RUN |14 INSTALL_RUBIN_PRERELEASE=false CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 NCCL_VERSION=2.30.7 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py PYTORCH_CUDA_INDEX_BASE_URL=https://download.pytorch.org/whl FLASHINFER_VERSION=0.6.18 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu24_04 TARGETPLATFORM=linux/arm64 TIMM_VERSION=>=1.0.17 RUNAI_MODEL_STREAMER_VERSION=>=0.15.7 /bin/sh -c uv pip install --system accelerate 'modelscope<1.38' "timm${TIMM_VERSION}" "runai-model-streamer[s3,gcs,azure]${RUNAI_MODEL_STREAMER_VERSION}" # buildkit
# 2026-09-09 09:54:19 0.00B 定义构建参数
ARG RUNAI_MODEL_STREAMER_VERSION=>=0.15.7
# 2026-09-09 09:54:19 0.00B 定义构建参数
ARG TIMM_VERSION=>=1.0.17
# 2026-09-09 09:54:19 2.50MB 执行命令并创建新的镜像层
RUN |12 INSTALL_RUBIN_PRERELEASE=false CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 NCCL_VERSION=2.30.7 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py PYTORCH_CUDA_INDEX_BASE_URL=https://download.pytorch.org/whl FLASHINFER_VERSION=0.6.18 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu24_04 TARGETPLATFORM=linux/arm64 /bin/sh -c set -eux; if [ "${INSTALL_RUBIN_PRERELEASE}" = "true" ]; then ldconfig -p | grep -q 'libgdrapi\.so'; else 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}"; fi; rm /tmp/install_gdrcopy.sh # buildkit
# 2026-09-09 09:54:14 1.44KB 复制新文件或目录到容器中
COPY tools/install_gdrcopy.sh /tmp/install_gdrcopy.sh # buildkit
# 2026-09-09 09:54:14 0.00B 定义构建参数
ARG TARGETPLATFORM
# 2026-09-09 09:54:14 0.00B 定义构建参数
ARG GDRCOPY_OS_VERSION=Ubuntu24_04
# 2026-09-09 09:54:14 0.00B 定义构建参数
ARG GDRCOPY_CUDA_VERSION=12.8
# 2026-09-09 09:54:14 1.72GB 执行命令并创建新的镜像层
RUN |9 INSTALL_RUBIN_PRERELEASE=false CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 NCCL_VERSION=2.30.7 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=0.6.18 /bin/sh -c if [ "${INSTALL_RUBIN_PRERELEASE}" != "true" ]; then uv pip install --system flashinfer-jit-cache==${FLASHINFER_VERSION} --index-url https://flashinfer.ai/whl/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.'); fi # buildkit
# 2026-09-09 09:53:54 0.00B 定义构建参数
ARG FLASHINFER_VERSION=0.6.18
# 2026-09-09 09:53:54 13.43GB 执行命令并创建新的镜像层
RUN |8 INSTALL_RUBIN_PRERELEASE=false CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 NCCL_VERSION=2.30.7 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py PYTORCH_CUDA_INDEX_BASE_URL=https://download.pytorch.org/whl /bin/sh -c if [ "${INSTALL_RUBIN_PRERELEASE}" = "true" ] && [ ! -f /tmp/vllm-requirements/rubin-prerelease.txt ]; then echo "INSTALL_RUBIN_PRERELEASE=true requires requirements/rubin-prerelease.txt" >&2; exit 1; fi && 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 && if [ "${INSTALL_RUBIN_PRERELEASE}" = "true" ]; then uv pip install --system -r /tmp/vllm-requirements/rubin-prerelease.txt && sed -Ei '/^[[:space:]]*(torch|torchvision|torchaudio)[[:space:]]*==/Id' /tmp/requirements-cuda.txt && uv pip install --system -r /tmp/requirements-cuda.txt && uv pip install --system -r /tmp/vllm-requirements/rubin-prerelease.txt && printf '%s\n' "/usr/local/lib/python${PYTHON_VERSION}/dist-packages/nvpl/lib" > /etc/ld.so.conf.d/vllm-rubin-python.conf && ldconfig; else uv pip install --system -r /tmp/requirements-cuda.txt --extra-index-url ${PYTORCH_CUDA_INDEX_BASE_URL}/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.'); fi && rm /tmp/requirements-cuda.txt /tmp/common.txt # buildkit
# 2026-09-09 09:52:02 1.25KB 复制新文件或目录到容器中
COPY requirements/cuda.txt /tmp/requirements-cuda.txt # buildkit
# 2026-09-09 09:52:02 3.22KB 复制新文件或目录到容器中
COPY requirements/common.txt /tmp/common.txt # buildkit
# 2026-09-09 09:52:02 0.00B 定义构建参数
ARG PYTORCH_CUDA_INDEX_BASE_URL
# 2026-09-09 09:52:02 0.00B 设置环境变量 VLLM_ENABLE_CUDA_COMPATIBILITY
ENV VLLM_ENABLE_CUDA_COMPATIBILITY=0
# 2026-09-09 09:52:02 3.69KB 执行命令并创建新的镜像层
RUN |7 INSTALL_RUBIN_PRERELEASE=false CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 NCCL_VERSION=2.30.7 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py /bin/sh -c chmod 0755 /usr/local/bin/vllm-nonroot-entrypoint.sh # buildkit
# 2026-09-09 09:52:01 3.69KB 复制新文件或目录到容器中
COPY docker/entrypoints/vllm-nonroot-entrypoint.sh /usr/local/bin/vllm-nonroot-entrypoint.sh # buildkit
# 2026-09-09 09:52:01 9.38KB 执行命令并创建新的镜像层
RUN |7 INSTALL_RUBIN_PRERELEASE=false CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 NCCL_VERSION=2.30.7 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py /bin/sh -c useradd --uid 2000 --gid 0 --create-home --home-dir /home/vllm --shell /bin/bash vllm && mkdir -p /home/vllm/.cache /home/vllm/.config && chown -R 2000:0 /home/vllm && chmod -R g+rwX /home/vllm && chgrp 0 /etc/passwd /etc/group && chmod g=u /etc/passwd /etc/group # buildkit
# 2026-09-09 09:52:00 0.00B 设置环境变量 UV_OVERRIDE
ENV UV_OVERRIDE=/etc/uv-overrides.txt
# 2026-09-09 09:52:00 25.00B 执行命令并创建新的镜像层
RUN |7 INSTALL_RUBIN_PRERELEASE=false CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 NCCL_VERSION=2.30.7 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py /bin/sh -c CUDA_MAJOR=$(echo $CUDA_VERSION | cut -d. -f1) && if [ -n "$NCCL_VERSION" ]; then echo "nvidia-nccl-cu${CUDA_MAJOR}==${NCCL_VERSION}" > /etc/uv-overrides.txt; else touch /etc/uv-overrides.txt; fi # buildkit
# 2026-09-09 09:51:59 0.00B 执行命令并创建新的镜像层
RUN |7 INSTALL_RUBIN_PRERELEASE=false CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 NCCL_VERSION=2.30.7 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
# 2026-09-09 09:51:58 0.00B 设置环境变量 UV_CACHE_DIR
ENV UV_CACHE_DIR=/opt/uv/cache
# 2026-09-09 09:51:58 0.00B 设置环境变量 UV_PYTHON_INSTALL_DIR
ENV UV_PYTHON_INSTALL_DIR=/opt/uv/python
# 2026-09-09 09:51:58 0.00B 设置环境变量 UV_LINK_MODE
ENV UV_LINK_MODE=copy
# 2026-09-09 09:51:58 0.00B 设置环境变量 UV_INDEX_STRATEGY
ENV UV_INDEX_STRATEGY=unsafe-best-match
# 2026-09-09 09:51:58 0.00B 设置环境变量 UV_HTTP_TIMEOUT
ENV UV_HTTP_TIMEOUT=500
# 2026-09-09 09:51:58 64.09MB 执行命令并创建新的镜像层
RUN |7 INSTALL_RUBIN_PRERELEASE=false CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 NCCL_VERSION=2.30.7 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
# 2026-09-09 09:51:56 0.00B 执行命令并创建新的镜像层
RUN |7 INSTALL_RUBIN_PRERELEASE=false CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 NCCL_VERSION=2.30.7 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py /bin/sh -c if [ "${INSTALL_RUBIN_PRERELEASE}" = "true" ]; then CUDA_MAJOR_MINOR=$(echo "${CUDA_VERSION}" | cut -d. -f1,2) && if [ "${CUDA_MAJOR_MINOR}" = "13.4" ]; then CURAND_LIBRARY=$(find -H /usr/local/cuda -name libcurand.so.10 -print -quit) && test -n "${CURAND_LIBRARY}" && ln -sf "${CURAND_LIBRARY}" /usr/local/cuda/lib64/libcurand.so.11; elif [ "${CUDA_MAJOR_MINOR}" = "13.5" ]; then CURAND_LIBRARY=$(find -H /usr/local/cuda -name libcurand.so.11 -print -quit) && test -n "${CURAND_LIBRARY}" && ! readlink -f "${CURAND_LIBRARY}" | grep -q 'libcurand\.so\.10'; else echo "Unsupported Rubin CUDA version: ${CUDA_MAJOR_MINOR}" >&2; exit 1; fi && NCCL_LIBRARY=$(find /usr/lib -name libnccl.so.2 -print -quit) && test -n "${NCCL_LIBRARY}" && ln -sf "${NCCL_LIBRARY}" /usr/lib/libnccl.so.2 && ln -sf libnccl.so.2 /usr/lib/libnccl.so && ldconfig; fi # buildkit
# 2026-09-09 09:51:56 2.74GB 执行命令并创建新的镜像层
RUN |7 INSTALL_RUBIN_PRERELEASE=false CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 NCCL_VERSION=2.30.7 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py /bin/sh -c CUDA_VERSION_DASH=$(echo $CUDA_VERSION | cut -d. -f1,2 | tr '.' '-') && apt-get update -y && apt-get install -y --no-install-recommends --allow-change-held-packages cuda-nvcc-${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 && rm -rf /var/lib/apt/lists/* # buildkit
# 2026-09-09 09:51:17 637.05MB 执行命令并创建新的镜像层
RUN |7 INSTALL_RUBIN_PRERELEASE=false CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 NCCL_VERSION=2.30.7 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
# 2026-09-09 09:50:08 136.00B 执行命令并创建新的镜像层
RUN |7 INSTALL_RUBIN_PRERELEASE=false CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 NCCL_VERSION=2.30.7 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
# 2026-09-09 09:50:07 0.00B 设置工作目录为/vllm-workspace
WORKDIR /vllm-workspace
# 2026-09-09 09:50:07 0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
# 2026-09-09 09:50:07 0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=13.0.2
# 2026-09-09 09:50:07 0.00B 定义构建参数
ARG GET_PIP_URL
# 2026-09-09 09:50:07 0.00B 定义构建参数
ARG DEADSNAKES_GPGKEY_URL
# 2026-09-09 09:50:07 0.00B 定义构建参数
ARG DEADSNAKES_MIRROR_URL
# 2026-09-09 09:50:07 0.00B 定义构建参数
ARG NCCL_VERSION
# 2026-09-09 09:50:07 0.00B 定义构建参数
ARG PYTHON_VERSION
# 2026-09-09 09:50:07 0.00B 定义构建参数
ARG CUDA_VERSION
# 2026-09-09 09:50:07 0.00B 定义构建参数
ARG INSTALL_RUBIN_PRERELEASE
# 2025-10-11 00:59:53 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2025-10-11 00:59:53 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2025-10-11 00:59:53 17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
# 2025-10-11 00:59:52 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
# 2025-10-11 00:59:52 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
# 2025-10-11 00:59:52 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
# 2025-10-11 00:59:52 303.48MB 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=${NV_CUDA_CUDART_VERSION} cuda-compat-13-0 && rm -rf /var/lib/apt/lists/* # buildkit
# 2025-10-11 00:55:43 0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=13.0.2
# 2025-10-11 00:55:43 11.01MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=arm64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/${NVARCH}/3bf863cc.pub | apt-key add - && echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit
# 2025-10-11 00:55:43 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2025-10-11 00:55:43 0.00B 定义构建参数
ARG TARGETARCH
# 2025-10-11 00:55:43 0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=13.0.96-1
# 2025-10-11 00:55:43 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
# 2025-10-11 00:55:43 0.00B 设置环境变量 NVARCH
ENV NVARCH=sbsa
# 2025-10-01 21:01:40 0.00B
/bin/sh -c #(nop) CMD ["/bin/bash"]
# 2025-10-01 21:01:40 100.71MB
/bin/sh -c #(nop) ADD file:d77dea5c49828eb0de89439d2b631bc8ea27cb9ef774412b56a060ba1673487b in /
# 2025-10-01 21:01:38 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.version=24.04
# 2025-10-01 21:01:38 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
# 2025-10-01 21:01:38 0.00B
/bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
# 2025-10-01 21:01:38 0.00B
/bin/sh -c #(nop) ARG RELEASE
镜像信息
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"PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
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"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=13.0.96-1",
"CUDA_VERSION=13.0.2",
"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",
"UV_OVERRIDE=/etc/uv-overrides.txt",
"VLLM_ENABLE_CUDA_COMPATIBILITY=0",
"TORCH_CUDA_ARCH_LIST=8.0 8.7 8.9 9.0 10.0 11.0 12.0",
"VLLM_USAGE_SOURCE=production-docker-image",
"VLLM_BUILD_COMMIT=98dff2a81d747d1dba01a47f939f48c3526d4206",
"VLLM_BUILD_PIPELINE=019d130e-464e-4ff7-b84b-492992c0c06b",
"VLLM_BUILD_URL=https://buildkite.com/vllm/release-v2/builds/6292",
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"SETUPTOOLS_SCM_PRETEND_VERSION=0.0.0"
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