镜像构建历史
# 2026-09-18 17:26:09 0.00B 添加元数据标签
LABEL org.opencontainers.image.source=https://github.com/sgl-project/sglang org.opencontainers.image.revision=94602c9c2b7cbdb8efd5c52802dac6a1c180089e org.opencontainers.image.version=lmsysorg/sglang:v0.5.20 org.opencontainers.image.url=https://github.com/sgl-project/sglang/actions/runs/35322364074 ai.sglang.build.commit=94602c9c2b7cbdb8efd5c52802dac6a1c180089e ai.sglang.build.url=https://github.com/sgl-project/sglang/actions/runs/35322364074 ai.sglang.image.tag=lmsysorg/sglang:v0.5.20
# 2026-09-18 17:26:09 0.00B 设置环境变量 SGLANG_BUILD_COMMIT SGLANG_BUILD_URL SGLANG_IMAGE_TAG
ENV SGLANG_BUILD_COMMIT=94602c9c2b7cbdb8efd5c52802dac6a1c180089e SGLANG_BUILD_URL=https://github.com/sgl-project/sglang/actions/runs/35322364074 SGLANG_IMAGE_TAG=lmsysorg/sglang:v0.5.20
# 2026-09-18 17:26:09 0.00B 定义构建参数
ARG SGLANG_IMAGE_TAG=lmsysorg/sglang:v0.5.20
# 2026-09-18 17:26:09 0.00B 定义构建参数
ARG SGLANG_BUILD_URL=https://github.com/sgl-project/sglang/actions/runs/35322364074
# 2026-09-18 17:26:09 0.00B 定义构建参数
ARG SGLANG_BUILD_COMMIT=94602c9c2b7cbdb8efd5c52802dac6a1c180089e
# 2026-09-18 17:26:09 0.00B 设置工作目录为/sgl-workspace/sglang
WORKDIR /sgl-workspace/sglang
# 2026-09-18 17:26:09 74.68MB 执行命令并创建新的镜像层
RUN |16 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.7 SGL_VERSION=0.5.20 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.18 MOONCAKE_VERSION=0.3.13 MSCCLPP_VERSION=sglang-v0.9.1 CUDA_VERSION=13.0.3 /bin/sh -c python3 -m pip install --force-reinstall /tmp/gateway_wheels/*.whl && rm -rf /tmp/gateway_wheels # buildkit
# 2026-09-18 17:26:03 17.85MB 复制新文件或目录到容器中
COPY /build/gateway_wheels /tmp/gateway_wheels # buildkit
# 2026-09-18 17:26:03 42.54MB 复制新文件或目录到容器中
COPY /build/sgl-model-gateway-bin /opt/sglang/bin/sgl-model-gateway # buildkit
# 2026-09-18 17:26:03 0.00B 设置环境变量 SGLANG_RUST_BUILD_MODE
ENV SGLANG_RUST_BUILD_MODE=never
# 2026-09-18 17:26:03 3.12GB 执行命令并创建新的镜像层
RUN |16 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.7 SGL_VERSION=0.5.20 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.18 MOONCAKE_VERSION=0.3.13 MSCCLPP_VERSION=sglang-v0.9.1 CUDA_VERSION=13.0.3 /bin/sh -c cd /sgl-workspace/sglang && python3 -m pip install --no-deps -e "python[${BUILD_TYPE}]" && kernels lock python && ( success=0; if [ "$(uname -m)" = "aarch64" ]; then echo "Skipping kernels-community/sgl-flash-attn3 cubin download on aarch64 (no variants published upstream); kernels will be JIT-compiled at runtime"; success=1; else for i in 1 2 3; do echo "Attempt $i/3: downloading sgl-kernel cubins..." && kernels download python && success=1 && break; echo "sgl-kernel cubin download failed, retrying in 30s..." && sleep 30; done; if [ "$success" != "1" ]; then echo "WARNING: no matching sgl-flash-attn3 cubin variant for this torch+CUDA; kernels will be JIT-compiled at runtime"; success=1; fi; fi; [ "$success" = "1" ] ) && mkdir -p /root/.cache/huggingface /root/.cache/sglang && ( if [ -f python/kernels.lock ]; then mv python/kernels.lock /root/.cache/sglang/; fi ) && ( find /opt/sglang/lib/python3.12/site-packages -type d -name "__pycache__" -exec rm -rf {} + 2>/dev/null || true ) # buildkit
# 2026-09-18 17:16:56 155.90MB 执行命令并创建新的镜像层
RUN |16 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.7 SGL_VERSION=0.5.20 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.18 MOONCAKE_VERSION=0.3.13 MSCCLPP_VERSION=sglang-v0.9.1 CUDA_VERSION=13.0.3 /bin/sh -c if [ "$BRANCH_TYPE" = "local" ]; then cp -r /tmp/local_src /sgl-workspace/sglang; elif [ "$USE_LATEST_SGLANG" = "1" ]; then git clone --depth=1 https://github.com/sgl-project/sglang.git /sgl-workspace/sglang; elif [ -z "$SGL_VERSION" ]; then echo "ERROR: SGL_VERSION must be set when USE_LATEST_SGLANG=0 and BRANCH_TYPE!=local" && exit 1; else git clone --depth=1 --branch v${SGL_VERSION} https://github.com/sgl-project/sglang.git /sgl-workspace/sglang; fi && rm -rf /tmp/local_src # buildkit
# 2026-09-18 17:16:48 508.69MB 复制新文件或目录到容器中
COPY /src /tmp/local_src # buildkit
# 2026-09-18 17:16:46 0.00B 设置工作目录为/sgl-workspace
WORKDIR /sgl-workspace
# 2026-09-18 17:16:46 0.00B 定义构建参数
ARG USE_LATEST_SGLANG
# 2026-09-18 17:16:46 0.00B 定义构建参数
ARG SGL_VERSION=0.5.20
# 2026-09-18 17:16:46 0.00B 定义构建参数
ARG CUDA_VERSION=13.0.3
# 2026-09-18 17:16:46 0.00B 定义构建参数
ARG BUILD_TYPE=all
# 2026-09-18 17:16:46 0.00B 定义构建参数
ARG BRANCH_TYPE
# 2026-09-18 17:16:46 12.16MB 执行命令并创建新的镜像层
RUN |16 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.7 SGL_VERSION=0.5.20 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.18 MOONCAKE_VERSION=0.3.13 MSCCLPP_VERSION=sglang-v0.9.1 CUDA_VERSION=13.0.3 /bin/sh -c apt-get update && apt-get install -y --only-upgrade binutils binutils-common binutils-x86-64-linux-gnu libbinutils libctf0 libctf-nobfd0 libgprofng0 libsframe1 libgnutls30t64 libpam-modules libpam-modules-bin libpam-runtime libpam0g libsqlite3-0 libtasn1-6 dpkg dpkg-dev libdpkg-perl && rm -rf /var/lib/apt/lists/* # buildkit
# 2026-09-18 17:16:26 28.45MB 执行命令并创建新的镜像层
RUN |16 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.7 SGL_VERSION=0.5.20 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.18 MOONCAKE_VERSION=0.3.13 MSCCLPP_VERSION=sglang-v0.9.1 CUDA_VERSION=13.0.3 /bin/sh -c python3 -m pip install --upgrade "urllib3>=2.6.3" "pillow>=12.1.1" # buildkit
# 2026-09-18 17:16:20 387.00B 复制新文件或目录到容器中
COPY docker/configs/.zshrc /root/.zshrc # buildkit
# 2026-09-18 17:16:20 607.00B 复制新文件或目录到容器中
COPY docker/configs/opt/.gitconfig /opt/sglang/.gitconfig # buildkit
# 2026-09-18 17:16:20 682.00B 复制新文件或目录到容器中
COPY docker/configs/opt/.tmux.conf /opt/sglang/.tmux.conf # buildkit
# 2026-09-18 17:16:20 914.00B 复制新文件或目录到容器中
COPY docker/configs/opt/.vimrc /opt/sglang/.vimrc # buildkit
# 2026-09-18 17:16:20 409.00B 复制新文件或目录到容器中
COPY --chown=root:root --chmod=755 docker/configs/yank /usr/local/bin/yank # buildkit
# 2026-09-18 17:16:19 1.09GB 执行命令并创建新的镜像层
RUN |16 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.7 SGL_VERSION=0.5.20 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.18 MOONCAKE_VERSION=0.3.13 MSCCLPP_VERSION=sglang-v0.9.1 CUDA_VERSION=13.0.3 /bin/sh -c python3 -m pip install --pre --extra-index-url https://pypi.nvidia.com/ ai-dynamo # buildkit
# 2026-09-18 17:15:38 194.02MB 执行命令并创建新的镜像层
RUN |16 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.7 SGL_VERSION=0.5.20 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.18 MOONCAKE_VERSION=0.3.13 MSCCLPP_VERSION=sglang-v0.9.1 CUDA_VERSION=13.0.3 /bin/sh -c python3 -m pip install nixl nixl-cu13 --no-deps && python3 -m pip install "cuda-python>=13,<14" # buildkit
# 2026-09-18 17:15:24 253.34MB 执行命令并创建新的镜像层
RUN |16 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.7 SGL_VERSION=0.5.20 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.18 MOONCAKE_VERSION=0.3.13 MSCCLPP_VERSION=sglang-v0.9.1 CUDA_VERSION=13.0.3 /bin/sh -c python3 -m pip install --force-reinstall --no-deps "nvidia-nccl-cu13==${SGL_NCCL_VERSION}" # buildkit
# 2026-09-18 17:15:16 335.31MB 执行命令并创建新的镜像层
RUN |16 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.7 SGL_VERSION=0.5.20 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.18 MOONCAKE_VERSION=0.3.13 MSCCLPP_VERSION=sglang-v0.9.1 CUDA_VERSION=13.0.3 /bin/sh -c python3 -m pip install -c /sgl-workspace/constraints.txt datamodel_code_generator pre-commit pytest black isort icdiff uv wheel scikit-build-core py-spy cubloaty google-cloud-storage pandas matplotlib tabulate termplotlib "runai-model-streamer[s3,gcs,azure]>=0.15.7" # buildkit
# 2026-09-18 17:14:52 447.27MB 执行命令并创建新的镜像层
RUN |16 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.7 SGL_VERSION=0.5.20 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.18 MOONCAKE_VERSION=0.3.13 MSCCLPP_VERSION=sglang-v0.9.1 CUDA_VERSION=13.0.3 /bin/sh -c git clone --depth=1 --branch ${MSCCLPP_VERSION} https://${GITHUB_ARTIFACTORY}/microsoft/mscclpp.git /tmp/mscclpp && case "${CUDA_VERSION}" in 13.*) CMAKE_ARGS="-DMSCCLPP_BYPASS_GPU_CHECK=ON -DMSCCLPP_USE_CUDA=ON -DMSCCLPP_GPU_ARCHS=80,90,100,100a,103,103a" python3 -m pip install "/tmp/mscclpp[cuda13]"; ;; *) echo "Unsupported CUDA version for MSCCL++: ${CUDA_VERSION}" && exit 1; ;; esac && rm -rf /tmp/mscclpp # buildkit
# 2026-09-18 17:10:02 341.46MB 执行命令并创建新的镜像层
RUN |16 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.7 SGL_VERSION=0.5.20 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.18 MOONCAKE_VERSION=0.3.13 MSCCLPP_VERSION=sglang-v0.9.1 CUDA_VERSION=13.0.3 /bin/sh -c python3 -m pip install mooncake-transfer-engine-cuda13==${MOONCAKE_VERSION} # buildkit
# 2026-09-18 17:09:53 635.95MB 执行命令并创建新的镜像层
RUN |16 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.7 SGL_VERSION=0.5.20 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.18 MOONCAKE_VERSION=0.3.13 MSCCLPP_VERSION=sglang-v0.9.1 CUDA_VERSION=13.0.3 /bin/sh -c apt update -y && apt install -y --no-install-recommends gnupg && echo "deb http://developer.download.nvidia.com/devtools/repos/ubuntu2004/$(if [ "$(uname -m)" = "aarch64" ]; then echo "arm64"; else echo "amd64"; fi) /" | tee /etc/apt/sources.list.d/nvidia-devtools.list && apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/$(if [ "$(uname -m)" = "aarch64" ]; then echo "arm64"; else echo "x86_64"; fi)/7fa2af80.pub && apt update -y && apt install -y --no-install-recommends nsight-systems-cli && rm -rf /var/lib/apt/lists/* # buildkit
# 2026-09-18 17:08:39 214.83MB 执行命令并创建新的镜像层
RUN |16 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.7 SGL_VERSION=0.5.20 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.18 MOONCAKE_VERSION=0.3.13 MSCCLPP_VERSION=sglang-v0.9.1 CUDA_VERSION=13.0.3 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gdb ninja-build vim tmux htop zsh tree silversearcher-ag cloc pkg-config bear less rdma-core openssh-server gnuplot infiniband-diags perftest ibverbs-providers libibumad3 libibverbs1 libnl-3-200 libnl-route-3-200 librdmacm1 && rm -rf /var/lib/apt/lists/* && apt-get clean # buildkit
# 2026-09-18 17:08:15 12.98MB 复制新文件或目录到容器中
COPY /root/.oh-my-zsh /root/.oh-my-zsh # buildkit
# 2026-09-18 17:08:15 4.91MB 复制新文件或目录到容器中
COPY /tools/just /usr/local/bin/ # buildkit
# 2026-09-18 17:08:15 8.65MB 复制新文件或目录到容器中
COPY /tools/share/cmake-3.31 /usr/local/share/cmake-3.31 # buildkit
# 2026-09-18 17:08:15 17.73MB 复制新文件或目录到容器中
COPY /tools/cpack /usr/local/bin/ # buildkit
# 2026-09-18 17:08:15 18.76MB 复制新文件或目录到容器中
COPY /tools/ctest /usr/local/bin/ # buildkit
# 2026-09-18 17:08:15 17.24MB 复制新文件或目录到容器中
COPY /tools/cmake /usr/local/bin/ # buildkit
# 2026-09-18 17:08:14 13.39MB 复制新文件或目录到容器中
COPY /tools/lib /usr/local/lib/ # buildkit
# 2026-09-18 17:08:14 129.15MB 复制新文件或目录到容器中
COPY /tools/clangd /usr/local/bin/ # buildkit
# 2026-09-18 17:08:14 4.02MB 复制新文件或目录到容器中
COPY /tools/clang-format /usr/local/bin/ # buildkit
# 2026-09-18 17:08:14 40.93KB 复制新文件或目录到容器中
COPY /tools/diff-so-fancy /usr/local/bin/ # buildkit
# 2026-09-18 17:08:14 8.19GB 复制新文件或目录到容器中
COPY /flashinfer_jit_output/ /opt/sglang/lib/python3.12/site-packages/ # buildkit
# 2026-09-18 17:07:51 121.86MB 执行命令并创建新的镜像层
RUN |16 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.7 SGL_VERSION=0.5.20 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.18 MOONCAKE_VERSION=0.3.13 MSCCLPP_VERSION=sglang-v0.9.1 CUDA_VERSION=13.0.3 /bin/sh -c if ls /tmp/wheels/hpc-ops/*.whl >/dev/null 2>&1; then pip install --no-deps /tmp/wheels/hpc-ops/*.whl; fi && rm -rf /tmp/wheels/hpc-ops # buildkit
# 2026-09-18 17:07:50 32.78MB 复制新文件或目录到容器中
COPY /wheels /tmp/wheels/hpc-ops # buildkit
# 2026-09-18 17:04:57 0.00B 设置工作目录为/sgl-workspace
WORKDIR /sgl-workspace
# 2026-09-18 17:04:57 0.00B 定义构建参数
ARG SGL_NCCL_VERSION
# 2026-09-18 17:04:57 0.00B 定义构建参数
ARG MSCCLPP_VERSION
# 2026-09-18 17:04:57 0.00B 定义构建参数
ARG MOONCAKE_VERSION
# 2026-09-18 17:04:57 0.00B 定义构建参数
ARG GITHUB_ARTIFACTORY
# 2026-09-18 17:04:57 0.00B 定义构建参数
ARG USE_LATEST_SGLANG
# 2026-09-18 17:04:57 0.00B 定义构建参数
ARG SGL_VERSION=0.5.20
# 2026-09-18 17:04:57 0.00B 定义构建参数
ARG CUDA_VERSION=13.0.3
# 2026-09-18 17:04:57 0.00B 定义构建参数
ARG BUILD_TYPE=all
# 2026-09-18 17:04:57 0.00B 定义构建参数
ARG BRANCH_TYPE
# 2026-09-18 17:04:57 20.96MB 执行命令并创建新的镜像层
RUN |16 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.7 SGL_VERSION=0.5.20 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.18 MOONCAKE_VERSION=0.3.13 MSCCLPP_VERSION=sglang-v0.9.1 CUDA_VERSION=13.0.3 /bin/sh -c python3 -m pip install --no-deps cosmos-guardrail==0.3.1 retinaface-py==0.0.2 && python3 -m pip install "better-profanity==0.7.0" "nltk==3.9.1" "peft==0.18.1" && python3 -c "import importlib.util as u; missing = [m for m in ('cosmos_guardrail', 'retinaface', 'better_profanity', 'nltk', 'cv2', 'peft', 'sentencepiece') if u.find_spec(m) is None]; assert not missing, f'guardrail deps missing: {missing}'" # buildkit
# 2026-09-18 17:04:38 200.97KB 执行命令并创建新的镜像层
RUN |16 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.7 SGL_VERSION=0.5.20 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.18 MOONCAKE_VERSION=0.3.13 MSCCLPP_VERSION=sglang-v0.9.1 CUDA_VERSION=13.0.3 /bin/sh -c python3 -m pip install --ignore-installed --no-deps distro # buildkit
# 2026-09-18 17:04:27 8.56GB 执行命令并创建新的镜像层
RUN |16 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.7 SGL_VERSION=0.5.20 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.18 MOONCAKE_VERSION=0.3.13 MSCCLPP_VERSION=sglang-v0.9.1 CUDA_VERSION=13.0.3 /bin/sh -c case "$CUDA_VERSION" in 13.0.3) CUINDEX=130 ;; *) echo "Unsupported CUDA version: $CUDA_VERSION" && exit 1 ;; esac && cd /tmp/sglang_deps/python && mkdir -p sglang && touch sglang/__init__.py && echo '__version__ = "0.0.0"' > sglang/version.py && touch README.md && touch LICENSE && python3 -m pip install --extra-index-url https://download.pytorch.org/whl/cu${CUINDEX} ".[${BUILD_TYPE}]" && cd /sgl-workspace && rm -rf /tmp/sglang_deps && pip freeze | grep -v "^sglang==" > /sgl-workspace/constraints.txt # buildkit
# 2026-09-18 17:00:13 9.04KB 复制新文件或目录到容器中
COPY proto /tmp/sglang_deps/proto # buildkit
# 2026-09-18 17:00:13 143.06KB 复制新文件或目录到容器中
COPY rust/sglang-mm /tmp/sglang_deps/rust/sglang-mm # buildkit
# 2026-09-18 17:00:13 109.81KB 复制新文件或目录到容器中
COPY rust/sglang-grpc /tmp/sglang_deps/rust/sglang-grpc # buildkit
# 2026-09-18 17:00:13 6.71KB 复制新文件或目录到容器中
COPY python/pyproject.toml /tmp/sglang_deps/python/pyproject.toml # buildkit
# 2026-09-18 17:00:13 1.22GB 执行命令并创建新的镜像层
RUN |16 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.7 SGL_VERSION=0.5.20 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.18 MOONCAKE_VERSION=0.3.13 MSCCLPP_VERSION=sglang-v0.9.1 CUDA_VERSION=13.0.3 /bin/sh -c python3 -m pip install --upgrade pip setuptools wheel html5lib six && case "$CUDA_VERSION" in 13.0.3) ;; *) echo "Unsupported CUDA version: $CUDA_VERSION" && exit 1 ;; esac && python3 -m pip install sglang-kernel==${SGL_KERNEL_VERSION} --force-reinstall --no-deps # buildkit
# 2026-09-18 16:59:51 625.67MB 执行命令并创建新的镜像层
RUN |16 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.7 SGL_VERSION=0.5.20 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.18 MOONCAKE_VERSION=0.3.13 MSCCLPP_VERSION=sglang-v0.9.1 CUDA_VERSION=13.0.3 /bin/sh -c curl --proto '=https' --tlsv1.2 --retry 3 --retry-delay 2 -sSf https://sh.rustup.rs | sh -s -- -y --no-modify-path --profile minimal && rustc --version && cargo --version # buildkit
# 2026-09-18 16:59:25 0.00B 设置环境变量 PATH
ENV PATH=/root/.cargo/bin:/opt/sglang/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/nvidia/bin
# 2026-09-18 16:59:25 0.00B 设置工作目录为/sgl-workspace
WORKDIR /sgl-workspace
# 2026-09-18 16:59:25 0.00B 定义构建参数
ARG GITHUB_ARTIFACTORY
# 2026-09-18 16:59:25 0.00B 定义构建参数
ARG SGL_KERNEL_VERSION
# 2026-09-18 16:59:25 0.00B 定义构建参数
ARG BUILD_TYPE=all
# 2026-09-18 16:59:25 0.00B 定义构建参数
ARG CUDA_VERSION=13.0.3
# 2026-09-18 16:59:25 0.00B 设置环境变量 LANG LANGUAGE LC_ALL
ENV LANG=en_US.UTF-8 LANGUAGE=en_US:en LC_ALL=en_US.UTF-8
# 2026-09-18 16:59:25 3.07MB 执行命令并创建新的镜像层
RUN |15 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.7 SGL_VERSION=0.5.20 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.18 MOONCAKE_VERSION=0.3.13 MSCCLPP_VERSION=sglang-v0.9.1 /bin/sh -c locale-gen en_US.UTF-8 # buildkit
# 2026-09-18 16:59:24 38.00B 执行命令并创建新的镜像层
RUN |15 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.7 SGL_VERSION=0.5.20 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.18 MOONCAKE_VERSION=0.3.13 MSCCLPP_VERSION=sglang-v0.9.1 /bin/sh -c ln -sf /usr/lib/$(uname -m)-linux-gnu/libmlx5.so.1 /usr/lib/$(uname -m)-linux-gnu/libmlx5.so # buildkit
# 2026-09-18 16:59:24 4.77MB 执行命令并创建新的镜像层
RUN |15 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.7 SGL_VERSION=0.5.20 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.18 MOONCAKE_VERSION=0.3.13 MSCCLPP_VERSION=sglang-v0.9.1 /bin/sh -c mkdir -p /tmp/gdrcopy && cd /tmp && curl --retry 3 --retry-delay 2 -fsSL -o v${GDRCOPY_VERSION}.tar.gz https://${GITHUB_ARTIFACTORY}/NVIDIA/gdrcopy/archive/refs/tags/v${GDRCOPY_VERSION}.tar.gz && tar -xzf v${GDRCOPY_VERSION}.tar.gz && rm v${GDRCOPY_VERSION}.tar.gz && cd gdrcopy-${GDRCOPY_VERSION}/packages && CUDA=/usr/local/cuda ./build-deb-packages.sh && dpkg -i gdrdrv-dkms_*.deb libgdrapi_*.deb gdrcopy-tests_*.deb gdrcopy_*.deb && cd / && rm -rf /tmp/gdrcopy # buildkit
# 2026-09-18 16:58:44 0.00B 执行命令并创建新的镜像层
RUN |15 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.7 SGL_VERSION=0.5.20 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.18 MOONCAKE_VERSION=0.3.13 MSCCLPP_VERSION=sglang-v0.9.1 /bin/sh -c if [ -n "${PIP_DEFAULT_INDEX}" ]; then python3 -m pip config set global.index-url ${PIP_DEFAULT_INDEX}; fi # buildkit
# 2026-09-18 16:58:44 1.47GB 执行命令并创建新的镜像层
RUN |15 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.7 SGL_VERSION=0.5.20 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.18 MOONCAKE_VERSION=0.3.13 MSCCLPP_VERSION=sglang-v0.9.1 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends ca-certificates software-properties-common netcat-openbsd kmod unzip openssh-server curl wget lsof locales build-essential cmake perl patchelf ccache git-lfs libopenmpi-dev libnuma1 libnuma-dev numactl ffmpeg libibverbs-dev libibverbs1 libibumad3 librdmacm1 libnl-3-200 libnl-route-3-200 libnl-route-3-dev libnl-3-dev ibverbs-providers infiniband-diags perftest libgoogle-glog-dev libgtest-dev libjsoncpp-dev libunwind-dev libboost-all-dev libssl-dev libgrpc-dev libgrpc++-dev libprotobuf-dev protobuf-compiler protobuf-compiler-grpc pybind11-dev libhiredis-dev libcurl4-openssl-dev libczmq4 libczmq-dev libfabric-dev linux-libc-dev devscripts debhelper fakeroot dkms check libsubunit0 libsubunit-dev && ln -sf /usr/bin/python3.12 /usr/bin/python && rm -rf /var/lib/apt/lists/* && apt-get clean # buildkit
# 2026-09-18 16:57:43 0.00B 设置环境变量 PATH
ENV PATH=/opt/sglang/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/nvidia/bin
# 2026-09-18 16:57:43 13.26MB 执行命令并创建新的镜像层
RUN |15 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.7 SGL_VERSION=0.5.20 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.18 MOONCAKE_VERSION=0.3.13 MSCCLPP_VERSION=sglang-v0.9.1 /bin/sh -c python3 -m venv /opt/sglang # buildkit
# 2026-09-18 16:57:41 362.17MB 执行命令并创建新的镜像层
RUN |15 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.7 SGL_VERSION=0.5.20 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.18 MOONCAKE_VERSION=0.3.13 MSCCLPP_VERSION=sglang-v0.9.1 /bin/sh -c apt update && apt install -y --no-install-recommends wget software-properties-common && apt install -y --no-install-recommends python3.12-full python3.12-dev && update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.12 2 && update-alternatives --set python3 /usr/bin/python3.12 && cd /usr/lib/python3/dist-packages/ && ln -s apt_pkg.cpython-312-*-linux-gnu.so apt_pkg.so # buildkit
# 2026-09-18 16:57:14 0.00B 执行命令并创建新的镜像层
RUN |15 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.7 SGL_VERSION=0.5.20 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.18 MOONCAKE_VERSION=0.3.13 MSCCLPP_VERSION=sglang-v0.9.1 /bin/sh -c if [ -n "$UBUNTU_MIRROR" ]; then sed -i "s|http://.*archive.ubuntu.com|$UBUNTU_MIRROR|g" /etc/apt/sources.list && sed -i "s|http://.*security.ubuntu.com|$UBUNTU_MIRROR|g" /etc/apt/sources.list; fi # buildkit
# 2026-09-18 16:57:14 0.00B 设置环境变量 PATH LD_LIBRARY_PATH
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/nvidia/bin LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
# 2026-09-18 16:57:14 0.00B 设置环境变量 DEBIAN_FRONTEND CUDA_HOME GDRCOPY_HOME FLASHINFER_VERSION
ENV DEBIAN_FRONTEND=noninteractive CUDA_HOME=/usr/local/cuda GDRCOPY_HOME=/usr/src/gdrdrv-2.5.1/ FLASHINFER_VERSION=0.6.18
# 2026-09-18 16:57:14 0.00B 定义构建参数
ARG MSCCLPP_VERSION=sglang-v0.9.1
# 2026-09-18 16:57:14 0.00B 定义构建参数
ARG MOONCAKE_VERSION=0.3.13
# 2026-09-18 16:57:14 0.00B 定义构建参数
ARG FLASHINFER_VERSION=0.6.18
# 2026-09-18 16:57:14 0.00B 定义构建参数
ARG INSTALL_FLASHINFER_JIT_CACHE=1
# 2026-09-18 16:57:14 0.00B 定义构建参数
ARG GITHUB_ARTIFACTORY=github.com
# 2026-09-18 16:57:14 0.00B 定义构建参数
ARG UBUNTU_MIRROR
# 2026-09-18 16:57:14 0.00B 定义构建参数
ARG PIP_DEFAULT_INDEX
# 2026-09-18 16:57:14 0.00B 定义构建参数
ARG SGL_NCCL_VERSION=2.30.7
# 2026-09-18 16:57:14 0.00B 定义构建参数
ARG GDRCOPY_VERSION=2.5.1
# 2026-09-18 16:57:14 0.00B 定义构建参数
ARG USE_LATEST_SGLANG=0
# 2026-09-18 16:57:14 0.00B 定义构建参数
ARG SGL_VERSION=0.5.20
# 2026-09-18 16:57:14 0.00B 定义构建参数
ARG SGL_KERNEL_VERSION=0.4.7
# 2026-09-18 16:57:14 0.00B 定义构建参数
ARG BRANCH_TYPE=remote
# 2026-09-18 16:57:14 0.00B 定义构建参数
ARG BUILD_TYPE=all
# 2026-09-18 16:57:14 0.00B 定义构建参数
ARG TARGETARCH=amd64
# 2026-04-15 01:37:55 463.98MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends ${NV_CUDNN_PACKAGE} ${NV_CUDNN_PACKAGE_DEV} ${NV_CUDNN_PACKAGE_DEV_HEADERS} && apt-mark hold ${NV_CUDNN_PACKAGE_NAME} && rm -rf /var/lib/apt/lists/* # buildkit
# 2026-04-15 01:37:55 0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=9.14.0.64-1
# 2026-04-15 01:37:55 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2026-04-15 01:37:55 0.00B 定义构建参数
ARG TARGETARCH
# 2026-04-15 01:37:55 0.00B 设置环境变量 NV_CUDNN_PACKAGE_DEV_HEADERS
ENV NV_CUDNN_PACKAGE_DEV_HEADERS=libcudnn9-headers-cuda-13=9.14.0.64-1
# 2026-04-15 01:37:55 0.00B 设置环境变量 NV_CUDNN_PACKAGE_DEV
ENV NV_CUDNN_PACKAGE_DEV=libcudnn9-dev-cuda-13=9.14.0.64-1
# 2026-04-15 01:37:55 0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn9-cuda-13=9.14.0.64-1
# 2026-04-15 01:37:55 0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-13
# 2026-04-15 01:37:55 0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=9.14.0.64-1
# 2026-04-15 01:00:26 0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
# 2026-04-15 01:00:26 393.53KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
# 2026-04-15 01:00:26 62.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c NSYS_PATH=$(find /opt/nvidia/nsight-compute -type f -name "nsys" 2>/dev/null | head -n 1); if [ -n "$NSYS_PATH" ] && [ ! -f /usr/local/bin/nsys ]; then ln -s "$NSYS_PATH" /usr/local/bin/nsys; fi # buildkit
# 2026-04-15 01:00:26 4.86GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-dev-13-0=${NV_CUDA_CUDART_DEV_VERSION} cuda-command-line-tools-13-0=${NV_CUDA_LIB_VERSION} cuda-minimal-build-13-0=${NV_CUDA_LIB_VERSION} cuda-libraries-dev-13-0=${NV_CUDA_LIB_VERSION} cuda-nvml-dev-13-0=${NV_NVML_DEV_VERSION} ${NV_LIBNPP_DEV_PACKAGE} libcusparse-dev-13-0=${NV_LIBCUSPARSE_DEV_VERSION} ${NV_LIBCUBLAS_DEV_PACKAGE} ${NV_LIBNCCL_DEV_PACKAGE} ${NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2026-04-15 01:00:26 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2026-04-15 01:00:26 0.00B 定义构建参数
ARG TARGETARCH
# 2026-04-15 01:00:26 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.28.3-1+cuda13.0
# 2026-04-15 01:00:26 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.28.3-1
# 2026-04-15 01:00:26 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.28.3-1
# 2026-04-15 01:00:26 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
# 2026-04-15 01:00:26 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-13-0=13.0.3-1
# 2026-04-15 01:00:26 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=13.0.3-1
# 2026-04-15 01:00:26 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-13-0=13.1.1.3-1
# 2026-04-15 01:00:26 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-13-0
# 2026-04-15 01:00:26 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=13.1.1.3-1
# 2026-04-15 01:00:26 0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-13-0=13.0.1.2-1
# 2026-04-15 01:00:26 0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=13.0.1.2-1
# 2026-04-15 01:00:26 0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.6.3.3-1
# 2026-04-15 01:00:26 0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=13.0.87-1
# 2026-04-15 01:00:26 0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=13.0.96-1
# 2026-04-15 01:00:26 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=13.0.3-1
# 2026-04-15 00:50:19 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
# 2026-04-15 00:50:19 0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
# 2026-04-15 00:50:19 2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
# 2026-04-15 00:50:19 3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
# 2026-04-15 00:50:19 241.08KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
# 2026-04-15 00:50:19 2.12GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-13-0=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-13-0=${NV_NVTX_VERSION} libcusparse-13-0=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2026-04-15 00:50:19 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2026-04-15 00:50:19 0.00B 定义构建参数
ARG TARGETARCH
# 2026-04-15 00:50:19 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.28.3-1+cuda13.0
# 2026-04-15 00:50:19 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.28.3-1
# 2026-04-15 00:50:19 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.28.3-1
# 2026-04-15 00:50:19 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
# 2026-04-15 00:50:19 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-13-0=13.1.1.3-1
# 2026-04-15 00:50:19 0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=13.1.1.3-1
# 2026-04-15 00:50:19 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-13-0
# 2026-04-15 00:50:19 0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.6.3.3-1
# 2026-04-15 00:50:19 0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-13-0=13.0.1.2-1
# 2026-04-15 00:50:19 0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=13.0.1.2-1
# 2026-04-15 00:50:19 0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=13.0.85-1
# 2026-04-15 00:50:19 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=13.0.3-1
# 2026-04-15 00:31:25 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2026-04-15 00:31:25 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2026-04-15 00:31:25 17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
# 2026-04-15 00:31:25 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
# 2026-04-15 00:31:25 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
# 2026-04-15 00:31:25 22.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/cuda/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
# 2026-04-15 00:31:25 0.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && if apt-cache policy cuda-compat-orin-13-0 2>/dev/null | grep -q "Candidate:"; then apt-get install -y --no-install-recommends cuda-compat-orin-13-0; fi && rm -rf /var/lib/apt/lists/* # buildkit
# 2026-04-15 00:31:18 321.89MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && if apt-cache policy cuda-compat-13-0 2>/dev/null | grep -q "Candidate:"; then apt-get install -y --no-install-recommends cuda-compat-13-0; fi && rm -rf /var/lib/apt/lists/* # buildkit
# 2026-04-15 00:31:02 1.47MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-13-0=${NV_CUDA_CUDART_VERSION} cuda-toolkit-13-0-config-common=${NV_CUDA_CUDART_VERSION} cuda-toolkit-13-config-common=${NV_CUDA_CUDART_VERSION} cuda-toolkit-config-common=${NV_CUDA_CUDART_VERSION} && rm -rf /var/lib/apt/lists/* # buildkit
# 2026-04-15 00:30:51 0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=13.0.3
# 2026-04-15 00:30:51 16.77MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/${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
# 2026-04-15 00:30:51 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2026-04-15 00:30:51 0.00B 定义构建参数
ARG TARGETARCH
# 2026-04-15 00:30:51 0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=13.0.96-1
# 2026-04-15 00:30:51 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
# 2026-04-15 00:30:51 0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
# 2026-04-03 23:16:43 0.00B
/bin/sh -c #(nop) CMD ["/bin/bash"]
# 2026-04-03 23:16:42 78.14MB
/bin/sh -c #(nop) ADD file:0f6466425c4f1800aae9224ddc3437b90c829cea58fb8edd5dde2f1eb0ee28da in /
# 2026-04-03 23:16:40 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.version=24.04
# 2026-04-03 23:16:40 0.00B
/bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
# 2026-04-03 23:16:40 0.00B
/bin/sh -c #(nop) ARG RELEASE
镜像信息
{
"Id": "sha256:7fafb457002ab4d5a2aa6796d7267f086401065d022347b2f49ae366b6c2687a",
"RepoTags": [
"lmsysorg/sglang:v0.5.20-cu130",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.5.20-cu130"
],
"RepoDigests": [
"lmsysorg/sglang@sha256:06e4f2ed21afde4ff513cda65070124e727ba23ccaeff7712b8c40e1097d611f",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang@sha256:dc4ad247281956ff6ac77cd7b6a2e1b46e5c0b554afd0c4ead6eced3792d4109"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2026-09-18T09:26:09.278784663Z",
"Container": "",
"ContainerConfig": null,
"DockerVersion": "",
"Author": "",
"Config": {
"Hostname": "",
"Domainname": "",
"User": "",
"AttachStdin": false,
"AttachStdout": false,
"AttachStderr": false,
"Tty": false,
"OpenStdin": false,
"StdinOnce": false,
"Env": [
"PATH=/root/.cargo/bin:/opt/sglang/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/nvidia/bin",
"NVARCH=x86_64",
"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=13.0.3",
"LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
"NVIDIA_VISIBLE_DEVICES=all",
"NVIDIA_DRIVER_CAPABILITIES=compute,utility",
"NV_CUDA_LIB_VERSION=13.0.3-1",
"NV_NVTX_VERSION=13.0.85-1",
"NV_LIBNPP_VERSION=13.0.1.2-1",
"NV_LIBNPP_PACKAGE=libnpp-13-0=13.0.1.2-1",
"NV_LIBCUSPARSE_VERSION=12.6.3.3-1",
"NV_LIBCUBLAS_PACKAGE_NAME=libcublas-13-0",
"NV_LIBCUBLAS_VERSION=13.1.1.3-1",
"NV_LIBCUBLAS_PACKAGE=libcublas-13-0=13.1.1.3-1",
"NV_LIBNCCL_PACKAGE_NAME=libnccl2",
"NV_LIBNCCL_PACKAGE_VERSION=2.28.3-1",
"NCCL_VERSION=2.28.3-1",
"NV_LIBNCCL_PACKAGE=libnccl2=2.28.3-1+cuda13.0",
"NVIDIA_PRODUCT_NAME=CUDA",
"NV_CUDA_CUDART_DEV_VERSION=13.0.96-1",
"NV_NVML_DEV_VERSION=13.0.87-1",
"NV_LIBCUSPARSE_DEV_VERSION=12.6.3.3-1",
"NV_LIBNPP_DEV_VERSION=13.0.1.2-1",
"NV_LIBNPP_DEV_PACKAGE=libnpp-dev-13-0=13.0.1.2-1",
"NV_LIBCUBLAS_DEV_VERSION=13.1.1.3-1",
"NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-13-0",
"NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-13-0=13.1.1.3-1",
"NV_CUDA_NSIGHT_COMPUTE_VERSION=13.0.3-1",
"NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-13-0=13.0.3-1",
"NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev",
"NV_LIBNCCL_DEV_PACKAGE_VERSION=2.28.3-1",
"NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.28.3-1+cuda13.0",
"LIBRARY_PATH=/usr/local/cuda/lib64/stubs",
"NV_CUDNN_VERSION=9.14.0.64-1",
"NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-13",
"NV_CUDNN_PACKAGE=libcudnn9-cuda-13=9.14.0.64-1",
"NV_CUDNN_PACKAGE_DEV=libcudnn9-dev-cuda-13=9.14.0.64-1",
"NV_CUDNN_PACKAGE_DEV_HEADERS=libcudnn9-headers-cuda-13=9.14.0.64-1",
"DEBIAN_FRONTEND=noninteractive",
"CUDA_HOME=/usr/local/cuda",
"GDRCOPY_HOME=/usr/src/gdrdrv-2.5.1/",
"FLASHINFER_VERSION=0.6.18",
"LANG=en_US.UTF-8",
"LANGUAGE=en_US:en",
"LC_ALL=en_US.UTF-8",
"SGLANG_RUST_BUILD_MODE=never",
"SGLANG_BUILD_COMMIT=94602c9c2b7cbdb8efd5c52802dac6a1c180089e",
"SGLANG_BUILD_URL=https://github.com/sgl-project/sglang/actions/runs/35322364074",
"SGLANG_IMAGE_TAG=lmsysorg/sglang:v0.5.20"
],
"Cmd": null,
"Image": "",
"Volumes": null,
"WorkingDir": "/sgl-workspace/sglang",
"Entrypoint": [
"/opt/nvidia/nvidia_entrypoint.sh"
],
"OnBuild": null,
"Labels": {
"ai.sglang.build.commit": "94602c9c2b7cbdb8efd5c52802dac6a1c180089e",
"ai.sglang.build.url": "https://github.com/sgl-project/sglang/actions/runs/35322364074",
"ai.sglang.image.tag": "lmsysorg/sglang:v0.5.20",
"com.nvidia.cudnn.version": "9.14.0.64-1",
"maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
"org.opencontainers.image.revision": "94602c9c2b7cbdb8efd5c52802dac6a1c180089e",
"org.opencontainers.image.source": "https://github.com/sgl-project/sglang",
"org.opencontainers.image.url": "https://github.com/sgl-project/sglang/actions/runs/35322364074",
"org.opencontainers.image.version": "lmsysorg/sglang:v0.5.20"
}
},
"Architecture": "amd64",
"Os": "linux",
"Size": 36195509825,
"GraphDriver": {
"Data": {
"LowerDir": "/var/lib/docker/overlay2/30df89dea316b50c9e730d43032f6ea519abe9bde09ac9fc960dbe424509cbef/diff:/var/lib/docker/overlay2/0cef48def63146e4eacd1fe3ce71b021d40eaac5042aed76673dfb5bd7c817a5/diff:/var/lib/docker/overlay2/9186765fe64242e20c80b5b2643e2c488c2582bf854d251a7993eabdde447e79/diff:/var/lib/docker/overlay2/591bd2476dacd56b652be8c29f622df4b74293039b0dbc1ac17682c137a79917/diff:/var/lib/docker/overlay2/8bd0945c81090a88acaa2bb712230f86ecdca0dfd90107378dfd9b8da04b4683/diff:/var/lib/docker/overlay2/32565beca932370406c23f727955fbce4dd694674c2569b958d77f5cf7e23de1/diff:/var/lib/docker/overlay2/da241749794f51a12bb9c485823dd5ef312eafe535cd0ad6d7069d82a06b070a/diff:/var/lib/docker/overlay2/dc1ee712d430ef0f621dcffcaaf4f0c9c0ea9c45b145b1742cf14b36b64ed17c/diff:/var/lib/docker/overlay2/6c0d57a915bcf3e4332bcbf8ebf890eaa08c96a13a05e44586373c9c1167be9b/diff:/var/lib/docker/overlay2/4fefa16343f654a8c90da017b18c8fd1143d9eee7ffda490b1d00f9bd22a8608/diff:/var/lib/docker/overlay2/558fb76475a0b691d1775c566c79622432fca450556e4da42f85706dfedb4e0a/diff:/var/lib/docker/overlay2/eb0e84b82b86a1e7c59b67aab4d918a09ee535a1b119550f3a80df91922ba3f2/diff:/var/lib/docker/overlay2/b9980ee40c9ccc470e6de06d4094a3adc77fd6daa55aa60be87d49be4ba2cc2e/diff:/var/lib/docker/overlay2/466b0b9d9958ca6862662dfa0900ef41dc52157c7740d9a50d3c78596962906b/diff:/var/lib/docker/overlay2/44c839aa592d639c464577dfb996d84e8c56ea9956b01c5a9c2a53d34f7b7d61/diff:/var/lib/docker/overlay2/8ad5fea3148fc2e15a49705bbdf4e79fc598bf53af5b2a0ad1c1f07389051ea4/diff:/var/lib/docker/overlay2/9612f486d48553852961fe2754271629bbfb457f55734ed7c1ecc0e55ebd6bb6/diff:/var/lib/docker/overlay2/05d38b18088370894bb6bbc658e952bcd838b28224c8dfedf4b5a7ebed72e86c/diff:/var/lib/docker/overlay2/471877709a884c5bf8a76f919de0c794e64e4995f226d69cbb35f8bd2b762c6f/diff:/var/lib/docker/overlay2/9b54b01f508595038538c952bf0fe490cd3203d1e90190918454191344c466d4/diff:/var/lib/docker/overlay2/042047bed73a716e0d20dc450d1b44bdab1c677d42620470334ac77ef1e8da5a/diff:/var/lib/docker/overlay2/c1f96bd8aa48465acf821467a012cf47448b36180ef5ef4732d1a31c82abd296/diff:/var/lib/docker/overlay2/446baadd1fb4488de729468149eaa09c984ebd22f0cd0d480a916daf574194a1/diff:/var/lib/docker/overlay2/773ed3c7d8c3e757f35e99a93f6d9c818c9005831b7608956f58f57490542d40/diff:/var/lib/docker/overlay2/db14ae5efcf8d349a77abb85b2b15b5849b7f2256c599999b75d5102db5d91a2/diff:/var/lib/docker/overlay2/814e76c007bbede7f90f630e54f6e2c3ef59bb947d548615bb8b9dc180e5d7a6/diff:/var/lib/docker/overlay2/9ad66761045f3128fb567339a21e826d163f79f459ce81e28a086d06f9d43c92/diff:/var/lib/docker/overlay2/b1ab208a3ac2579b8ba4c5ec7cbf99e68b1a752edd45002b3c4b19515529b0f1/diff:/var/lib/docker/overlay2/c91a0f9987752e2db737a58d0131d560928111598083e871ead67e3ab50763ea/diff:/var/lib/docker/overlay2/f8dbbd476ba790cd391966bf05d3c3c8fc7ecd331c6e36fb5525837aa8381a94/diff:/var/lib/docker/overlay2/ad6d90ec56fbb57db7b6d3fae79f5c4f85b4cb4c0509d6b4301ba3e4be94d6b1/diff:/var/lib/docker/overlay2/644df8df4269663293a4c0d0e5c3a28ffecb9562be07da7572760e902bb1e12f/diff:/var/lib/docker/overlay2/eb0e70d83cb7c1e2b714798fd6b94201ad4519c41d82e48cb863563bae1a3610/diff:/var/lib/docker/overlay2/9a65b202dd3db1ce4ac5bea1a4f29cb1da41440bdbb5dc86cc385df0f84f7388/diff:/var/lib/docker/overlay2/d5be77f08766c9d521a10dbbd30417f28b946d3cbb94352143e1e6a66be601e0/diff:/var/lib/docker/overlay2/c237e1f77773c2ae8137c0eb6796d3b4ab1bbaef763f33f8af679c7554f9e07c/diff:/var/lib/docker/overlay2/119ad1a1734ff7515992da0156f4100b452c0b471c8e7943fe113d1cc65c5311/diff:/var/lib/docker/overlay2/a8e30c141e6cebc5f2fd5756165b8ff5ab46be4c01652382fb1cb732d17de790/diff:/var/lib/docker/overlay2/1bb69e76075155d7dd471c9c3d4855242fe2f1235424e2dddb95fcdaff6f22c7/diff:/var/lib/docker/overlay2/9fd0d00a5fe0d26638b87b70838d6a2977be8cd8abbebe9be53c371e6dd5602c/diff:/var/lib/docker/overlay2/64e85fdb239e45000d508c7bda5f5bc04f51e6cd8a918911e2c3ebde9a46ae3b/diff:/var/lib/docker/overlay2/ff3421617cc9bfc4c1305ce4c2c8e08d0c02c4608e1315102fb548f8ca77a383/diff:/var/lib/docker/overlay2/2a4c2927f3322c9eafdbb3e96e98040038834e0c51a1f30b94e5b402ce358b22/diff:/var/lib/docker/overlay2/f4527ed6b24663878166f8fd9fad4dc655c30e983945dd18604f79a0bdad9730/diff:/var/lib/docker/overlay2/9b558a6814f31a4d341890dc656f99460395f4cd9f1d129f5d28b20e7e8c158b/diff:/var/lib/docker/overlay2/afa5a274eadb907fd3721d5fc8fcc70cfffc340689f1093ff8ae938186448a0a/diff:/var/lib/docker/overlay2/82911469dc9098ba29ef672338e16a9ce4147d4d37b6087042fd0a54bdcbb871/diff:/var/lib/docker/overlay2/1d25dd61e0284840c34f292cfef8e84711dac52e97a2f7225c24ad835a47747b/diff:/var/lib/docker/overlay2/f12c384c0b6212d8425784a92d1fcf67f38d3988457d8abd7d23bc6f8aefc223/diff:/var/lib/docker/overlay2/c2365d4e0034a8e38b7ac79aaee682e2aaaabd7291779b402eb93cd70272915a/diff:/var/lib/docker/overlay2/8fd6969102a31b433a828d4ff89f70065dc543a07d210016e3ac11763a10bf7b/diff:/var/lib/docker/overlay2/c7fbcee37d113051fd58ca6fd7a36e0b93cc98a0292ad3a85a931e6d53dd8a54/diff:/var/lib/docker/overlay2/1fc889c4ab86fa5baf79b32f94e481d38eefcbaace7d3216165435357e08b22d/diff:/var/lib/docker/overlay2/b63f7bf16814dc3ad7fd48debabffd13646d55139295f078730c185330c0ebac/diff:/var/lib/docker/overlay2/70c33e91a528264da401c71ed995a59c30d12f93c492f411eb7e03520d354692/diff:/var/lib/docker/overlay2/01684b2b2ad497c8cda5a2d3fdba227510d5ab962eb252c0d4f7034ca80591da/diff:/var/lib/docker/overlay2/1fa3572f788091721ef41ed1de8ef32900c3093ef5f2b2db8dbcac0c927dd010/diff:/var/lib/docker/overlay2/f304f888bb40354c9ede595d9ed5910a6528d3d1f68e040ab55fddcaa5cb1a25/diff:/var/lib/docker/overlay2/c2fb48c66acc5be3ea877fa84608c7b67f7f632e0bf1e2f069945e52e2f6f5d5/diff:/var/lib/docker/overlay2/1186f5f7aa43903731e01230e0391712d912f2e98d17dea532d9164df0a0b9cb/diff:/var/lib/docker/overlay2/ca85bc26d1dd35a3844b27a5f6f360e8fd4d297c6ab05ec4954903529fff670f/diff:/var/lib/docker/overlay2/5872fdf50e17d64a4ffd6847fa6ef08a0946049917bd58e97896d71e50cee7e9/diff:/var/lib/docker/overlay2/d6ccdb70b5c837f86931b1e9ceda43f207d295fb4e81d87d5eb60e2526f8a2df/diff:/var/lib/docker/overlay2/02bd678e75482932e4672ac76eff3e50555d836745780cfafe33a8879ef0c0ec/diff:/var/lib/docker/overlay2/70535aeabd48964f3fd918d11ea8bfd18f425113220b2c06f4567678037367ce/diff:/var/lib/docker/overlay2/1753f473c4ee2ec96fc30e89460e5696440ce15f602db990af2b8a44af785848/diff:/var/lib/docker/overlay2/8513655d8370c6b86a312f8dae2392446e11ddae72e068f06753c0448441c346/diff:/var/lib/docker/overlay2/ffdde768cd66cab505cbe8d5d575657fb9335ca847b76b77a4928b7b0c29c86c/diff:/var/lib/docker/overlay2/d2f0c5272bddb1fe92d8726322676461df5de2fd838b6c2197ccd18235d60f1f/diff",
"MergedDir": "/var/lib/docker/overlay2/fb6d5ebb3c8b9a6a43c2ff79a1fc0461417ed7215e218784c351e0e7f0b1177b/merged",
"UpperDir": "/var/lib/docker/overlay2/fb6d5ebb3c8b9a6a43c2ff79a1fc0461417ed7215e218784c351e0e7f0b1177b/diff",
"WorkDir": "/var/lib/docker/overlay2/fb6d5ebb3c8b9a6a43c2ff79a1fc0461417ed7215e218784c351e0e7f0b1177b/work"
},
"Name": "overlay2"
},
"RootFS": {
"Type": "layers",
"Layers": [
"sha256:5e732af9e7c568c9b41ecabc76ac93a58471934d5155070dfd64a9567667fd9d",
"sha256:f5b49b5386a3c18aca8dccc85784c57d64b182f621a632374c44daeb7822e9ca",
"sha256:2950e5ad5b560d8a4561ea596a8589f9be34eb485ad04ae521438c978d98a212",
"sha256:f56f6d7fecabd59c6ae0104489b7e42e0b1c538ba1246f0019b099a12cca8cd6",
"sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
"sha256:6756a6579040c1541966a48c3e4d3bac9500de08ee027795439141ee0ba0eecd",
"sha256:fdb5c9bcf16b58539209a7e6a469bea3a5b5434d2c4e9d4719968e22fe0ef1d7",
"sha256:c6340b3836ce7fea1a99cadff25d755971a2091ecc7815f7761cce83624961ca",
"sha256:6d6b5c3ac20f833a318cc28f64194bc3d50371b023199e420c641dd5d3264d5e",
"sha256:2dfea3ee7ecb9bf9eaf210231c0d8fc84706edea83c584300f86aef7eb0dfe1d",
"sha256:988d8769daf31ed246461f52c452d8b11248ba47e5b06fe8210915025327d393",
"sha256:cd905001042d6fb31a08ed1272f4b36b9bf1814c0e111355cc8725277cd4bfb7",
"sha256:ae8a69caad45e0cf5977673d59e9b3d444943e89e8eb503a7798f093c65162e8",
"sha256:3f83440160ca573ae240f1525e4e9d6c7ee9d055dfc7be61ac7af84ee1642313",
"sha256:72f31487cece23c9c9f79d1336cf0887726864ba145d967da1fb5d775e533d93",
"sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
"sha256:ace56606881d9983c1fe1c2680fc865e245e35e6a60905771dcaf1dc5731f88d",
"sha256:8324e30db7ef805f11598f9741fa687ab2c66d3fcac5223edb8691c0ae6ad37d",
"sha256:6534b635f1cd5517e930d5e2f4fd548b532c56cbf4921ef87f5064d8a9188a5a",
"sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
"sha256:1c95c6215b19f9a6fbd48559471b3880845580a62f0fd2c0fbc3b236d0bf3106",
"sha256:21079ebb4af92eae3760359c2227ac80ebf0683a3ae220a002e347c03a1bf018",
"sha256:8464d1d38dcac8e1cf2b57e877829be9bd2bcab0f9752fdf485783c346b135e1",
"sha256:a201d729ca0e7f23d548b670ffe3760dd8e553e970598c36f1abc04bc37db15e",
"sha256:86e221dd99784b7c2183b246737884e8282967e2fccf16050c31797552a5c0bb",
"sha256:32ed7bc33d11cf2daf529f12bd24db203ea7f233697f9c732b3d05e2d4b80aef",
"sha256:bbc9f071b2d33f55e561754af1025f4f47f1c59192877a8f02bc546d78a4533c",
"sha256:d306f8df648a43d7f108791945d5988d4ab3fd2a9da7ec3551088991bd289e50",
"sha256:ead096c5b419d1dcd642c4aa41ba60ed00582d925a44be8f7fe89791632e38a9",
"sha256:6cb4ed4e21b4d89612bc18de0b5da66631da261606bbd76d9f5c481988601a52",
"sha256:bd596da5815d0fe70eb7809b0ed437a60c139b31b4fc19564a4aa5deadd34538",
"sha256:d0fc78fff9be1b5d5a2e41af6e86cf6697ed6784e9bb4b21b75d4ceb59388b77",
"sha256:be679fd4e9919ad2a6dd11aa9385cdd5965b216bd93c1cfc01182d8028b3f03e",
"sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
"sha256:a90d8389fe3ab7c0c982dd060c64f9be006ed7b7e178ef7b77d05c542eee7b42",
"sha256:b3d86fb4d26924fd1fa3f806072a907c05a31433b57bb0ffb11a1fcbaacbaf8d",
"sha256:ed7bb224fe0d9b4acd3d07aba51a641f239e0230b2a18fdda51c6f879954fa39",
"sha256:78b9f263a1fbf0242897e48310ffffd41ab9c3c94b08f7d3d8c32dcd319ad618",
"sha256:1f09c9c18dd22bffd45b1ba550f8eef2b47bcb35a1d1629b0669809c83db31d6",
"sha256:597e04f0f3fcc351fa4066d12bab786e088bcbfa3bf4a3dd3dffe707bf3cec37",
"sha256:9f1b8b6e97210f56350286adf35488e9094a19aedff94ac67fc56cd608c4a332",
"sha256:b702ba486e90f1ab6ff1d8ce966eacb0a6362e726ba4938d9c7d937dff637d72",
"sha256:045cd1bc37e9af7fecac3eb84aeb31257288bd43bdd39f4a44df93e167bb8c18",
"sha256:48919726cbac4b35da54d3d42d0088f96b3f20db93a90ffbd04fb0044687d951",
"sha256:6021deb516218c962dfd5c4ac06cafd6c3420a7615f27ae44174c658d7f489d0",
"sha256:e18472df4222936bab40219d4d66b51759265e5c807675791d4978e99f879f65",
"sha256:08c7b009299d0ab697daed15357293e5cc341862bf78899f94cb498e90298f75",
"sha256:a117c40dbc3e22745afcd23f5423389d8c9b7c27c040feecbec9ca35e82cc939",
"sha256:e200449707d5ca4f36f987c30fd742637661e16dc3858ee99fc204fb3b82f632",
"sha256:43c9cf87b1ddc4333588dce8074e94640ae718cfa0e043624b6ac3e0771d9c30",
"sha256:d6328ac872ded6665f9538d1ab2a04b7652755ba4c8cd27edd0a3162f4890941",
"sha256:9c5bb3159a6a2913b42e9d52c67886dd41a69e02505d323ffc64834189d64ac4",
"sha256:44749a011e5649ca513213d804a1dbc4140dfc406d2063278fce08c8d8e43211",
"sha256:c10afa99c175ef9ba778585b7988b7b2daea9174d04675442e853bb4acb90a65",
"sha256:f5fcfbf8a426b7fdb1e4212b07d24993287d14529b438d2a41c901c22a1a58f4",
"sha256:67d4393eb587362fb80709782d1ed12c9075dc65df297f6203d8f797e93c2ffa",
"sha256:fd4044d44f72234333f53c8762321cb46825fa371c11babfc05340381fbcb3e8",
"sha256:d8ebbc5263a701f00696f3b2031e5121e3e75f01320403c12855f6d61587b901",
"sha256:1c119994c9276a161eaa457ce3d591d24d41d34316c446e75b87e51b4e771911",
"sha256:a37c84f3cfc3f6461288e82da34b5bcbba63d8ced705f0eeeae648166cdcf994",
"sha256:df924a918c702bdf5569f832af706347d844d971724047ce28d982932c3f96ac",
"sha256:760c30ff9bc5286ea2877ffb76ab0d19304859129f42f1a8912c91a29e1f1d8f",
"sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
"sha256:5f99a46c90aa4c3de82f71d20d12bce33f3cf5ef2c3fdaf767c85db4a99dc759",
"sha256:bfdb9720d1a30b59b0e78f2f548fd26f36bd7e8e3bba9cb8020d8c4fbabfd2e3",
"sha256:e80e35048bbf10723bb64fb845888f3fa90c96fbff40d3ef77f5bf3f7c2d3159",
"sha256:936015077519a42f70a0f9e95c50a84a75fe51cc0920187bc22c588461b5a3fd",
"sha256:0415be15308242d978f08a5ecb8633b12dae454be8785b63f1b253924871b2da",
"sha256:0305023aa9b2f93ed9eb744f34527b060525f30b1a547ee979d644a1666ee028",
"sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef"
]
},
"Metadata": {
"LastTagTime": "2026-10-23T00:54:23.775431598+08:00"
}
}