docker.io/lmsysorg/sglang:v0.5.12.post1 linux/amd64

docker.io/lmsysorg/sglang:v0.5.12.post1 - 国内下载镜像源 浏览次数:24
sglang 是一个基于 LMSYS 的 Shell Grammar Language 环境容器镜像。
源镜像 docker.io/lmsysorg/sglang:v0.5.12.post1
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.5.12.post1
镜像ID sha256:b9079f568489b6620b580c2658e68e24791f02a212c4de23b8b5d42661de4b11
镜像TAG v0.5.12.post1
大小 33.60GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD
启动入口 /opt/nvidia/nvidia_entrypoint.sh
工作目录 /sgl-workspace/sglang
OS/平台 linux/amd64
浏览量 24 次
贡献者
镜像创建 2026-05-23T11:11:12.841059517Z
同步时间 2026-06-11 03:30
环境变量
PATH=/root/.cargo/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>=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 NV_CUDA_CUDART_VERSION=13.0.88-1 CUDA_VERSION=13.0.1 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=13.0.1-1 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=13.0.2.14-1 NV_LIBCUBLAS_PACKAGE=libcublas-13-0=13.0.2.14-1 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=13.0.88-1 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=13.0.2.14-1 NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-13-0 NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-13-0=13.0.2.14-1 NV_CUDA_NSIGHT_COMPUTE_VERSION=13.0.1-1 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-13-0=13.0.1-1 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=9.13.0.50-1 NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-13 NV_CUDNN_PACKAGE=libcudnn9-cuda-13=9.13.0.50-1 NV_CUDNN_PACKAGE_DEV=libcudnn9-dev-cuda-13=9.13.0.50-1 NV_CUDNN_PACKAGE_DEV_HEADERS=libcudnn9-headers-cuda-13=9.13.0.50-1 DEBIAN_FRONTEND=noninteractive CUDA_HOME=/usr/local/cuda GDRCOPY_HOME=/usr/src/gdrdrv-2.5.1/ FLASHINFER_VERSION=0.6.11.post1 LANG=en_US.UTF-8 LANGUAGE=en_US:en LC_ALL=en_US.UTF-8 SGLANG_BUILD_COMMIT=5a15cde858ea09b77116212a39356f2fc51b8584 SGLANG_BUILD_URL=https://github.com/sgl-project/sglang/actions/runs/26328908289 SGLANG_IMAGE_TAG=lmsysorg/sglang:v0.5.12.post1
镜像标签
5a15cde858ea09b77116212a39356f2fc51b8584: ai.sglang.build.commit https://github.com/sgl-project/sglang/actions/runs/26328908289: ai.sglang.build.url lmsysorg/sglang:v0.5.12.post1: ai.sglang.image.tag 9.13.0.50-1: com.nvidia.cudnn.version NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer ubuntu: org.opencontainers.image.ref.name 5a15cde858ea09b77116212a39356f2fc51b8584: org.opencontainers.image.revision https://github.com/sgl-project/sglang: org.opencontainers.image.source https://github.com/sgl-project/sglang/actions/runs/26328908289: org.opencontainers.image.url lmsysorg/sglang:v0.5.12.post1: org.opencontainers.image.version
镜像安全扫描 查看Trivy扫描报告

系统OS: ubuntu 24.04 扫描引擎: Trivy 扫描时间: 2026-06-11 03:40

低危漏洞:126 中危漏洞:2126 高危漏洞:45 严重漏洞:6

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.5.12.post1
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.5.12.post1  docker.io/lmsysorg/sglang:v0.5.12.post1

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.5.12.post1
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.5.12.post1  docker.io/lmsysorg/sglang:v0.5.12.post1

Shell快速替换命令

sed -i 's#lmsysorg/sglang:v0.5.12.post1#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.5.12.post1#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.5.12.post1 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.5.12.post1  docker.io/lmsysorg/sglang:v0.5.12.post1'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.5.12.post1 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.5.12.post1  docker.io/lmsysorg/sglang:v0.5.12.post1'

镜像构建历史


# 2026-05-23 19:11:12  0.00B 添加元数据标签
LABEL org.opencontainers.image.source=https://github.com/sgl-project/sglang org.opencontainers.image.revision=5a15cde858ea09b77116212a39356f2fc51b8584 org.opencontainers.image.version=lmsysorg/sglang:v0.5.12.post1 org.opencontainers.image.url=https://github.com/sgl-project/sglang/actions/runs/26328908289 ai.sglang.build.commit=5a15cde858ea09b77116212a39356f2fc51b8584 ai.sglang.build.url=https://github.com/sgl-project/sglang/actions/runs/26328908289 ai.sglang.image.tag=lmsysorg/sglang:v0.5.12.post1
                        
# 2026-05-23 19:11:12  0.00B 设置环境变量 SGLANG_BUILD_COMMIT SGLANG_BUILD_URL SGLANG_IMAGE_TAG
ENV SGLANG_BUILD_COMMIT=5a15cde858ea09b77116212a39356f2fc51b8584 SGLANG_BUILD_URL=https://github.com/sgl-project/sglang/actions/runs/26328908289 SGLANG_IMAGE_TAG=lmsysorg/sglang:v0.5.12.post1
                        
# 2026-05-23 19:11:12  0.00B 定义构建参数
ARG SGLANG_IMAGE_TAG=lmsysorg/sglang:v0.5.12.post1
                        
# 2026-05-23 19:11:12  0.00B 定义构建参数
ARG SGLANG_BUILD_URL=https://github.com/sgl-project/sglang/actions/runs/26328908289
                        
# 2026-05-23 19:11:12  0.00B 定义构建参数
ARG SGLANG_BUILD_COMMIT=5a15cde858ea09b77116212a39356f2fc51b8584
                        
# 2026-05-23 19:11:12  0.00B 设置工作目录为/sgl-workspace/sglang
WORKDIR /sgl-workspace/sglang
                        
# 2026-05-23 19:11:12  127.36MB 执行命令并创建新的镜像层
RUN |21 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote GRACE_BLACKWELL=0 HOPPER_SBO=0 HOPPER_SBO_DEEPEP_COMMIT=9f2fc4b3182a51044ae7ecb6610f7c9c3258c4d6 DEEPEP_COMMIT=9af0e0d0e74f3577af1979c9b9e1ac2cad0104ee BUILD_AND_DOWNLOAD_PARALLEL=8 SGL_KERNEL_VERSION=0.4.2.post2 SGL_VERSION=0.5.12.post1 SGL_DEEP_GEMM_VERSION=0.1.0 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.11.post1 MOONCAKE_VERSION=0.3.10.post2 MOONCAKE_COMPILE_ARG=-DUSE_HTTP=ON -DUSE_MNNVL=ON -DUSE_CUDA=ON -DWITH_EP=ON CUDA_VERSION=13.0.1 /bin/sh -c python3 -m pip install --force-reinstall /tmp/gateway_wheels/*.whl     && rm -rf /tmp/gateway_wheels # buildkit
                        
# 2026-05-23 19:11:07  32.00MB 复制新文件或目录到容器中
COPY /build/gateway_wheels /tmp/gateway_wheels # buildkit
                        
# 2026-05-23 19:11:07  42.40MB 复制新文件或目录到容器中
COPY /build/sgl-model-gateway-bin /usr/local/bin/sgl-model-gateway # buildkit
                        
# 2026-05-23 19:09:08  2.01GB 执行命令并创建新的镜像层
RUN |21 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote GRACE_BLACKWELL=0 HOPPER_SBO=0 HOPPER_SBO_DEEPEP_COMMIT=9f2fc4b3182a51044ae7ecb6610f7c9c3258c4d6 DEEPEP_COMMIT=9af0e0d0e74f3577af1979c9b9e1ac2cad0104ee BUILD_AND_DOWNLOAD_PARALLEL=8 SGL_KERNEL_VERSION=0.4.2.post2 SGL_VERSION=0.5.12.post1 SGL_DEEP_GEMM_VERSION=0.1.0 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.11.post1 MOONCAKE_VERSION=0.3.10.post2 MOONCAKE_COMPILE_ARG=-DUSE_HTTP=ON -DUSE_MNNVL=ON -DUSE_CUDA=ON -DWITH_EP=ON CUDA_VERSION=13.0.1 /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 $i/3: downloading sgl-kernel cubins..." &&                  kernels download python &&                  success=1 && break;                  echo "sgl-kernel cubin download failed, retrying in 30s..." && sleep 30;              done;          fi;          [ "$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 /usr/local/lib/python3.12/dist-packages -type d -name "__pycache__" -exec rm -rf {} + 2>/dev/null || true ) # buildkit
                        
# 2026-05-23 19:08:32  89.31MB 执行命令并创建新的镜像层
RUN |21 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote GRACE_BLACKWELL=0 HOPPER_SBO=0 HOPPER_SBO_DEEPEP_COMMIT=9f2fc4b3182a51044ae7ecb6610f7c9c3258c4d6 DEEPEP_COMMIT=9af0e0d0e74f3577af1979c9b9e1ac2cad0104ee BUILD_AND_DOWNLOAD_PARALLEL=8 SGL_KERNEL_VERSION=0.4.2.post2 SGL_VERSION=0.5.12.post1 SGL_DEEP_GEMM_VERSION=0.1.0 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.11.post1 MOONCAKE_VERSION=0.3.10.post2 MOONCAKE_COMPILE_ARG=-DUSE_HTTP=ON -DUSE_MNNVL=ON -DUSE_CUDA=ON -DWITH_EP=ON CUDA_VERSION=13.0.1 /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
                        
# 2026-05-23 19:08:28  230.77MB 复制新文件或目录到容器中
COPY /src /tmp/local_src # buildkit
                        
# 2026-05-23 19:08:27  0.00B 设置工作目录为/sgl-workspace
WORKDIR /sgl-workspace
                        
# 2026-05-23 19:08:27  0.00B 定义构建参数
ARG USE_LATEST_SGLANG
                        
# 2026-05-23 19:08:27  0.00B 定义构建参数
ARG SGL_VERSION=0.5.12.post1
                        
# 2026-05-23 19:08:27  0.00B 定义构建参数
ARG CUDA_VERSION=13.0.1
                        
# 2026-05-23 19:08:27  0.00B 定义构建参数
ARG BUILD_TYPE=all
                        
# 2026-05-23 19:08:27  0.00B 定义构建参数
ARG BRANCH_TYPE
                        
# 2026-05-23 19:08:27  30.89MB 执行命令并创建新的镜像层
RUN |21 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote GRACE_BLACKWELL=0 HOPPER_SBO=0 HOPPER_SBO_DEEPEP_COMMIT=9f2fc4b3182a51044ae7ecb6610f7c9c3258c4d6 DEEPEP_COMMIT=9af0e0d0e74f3577af1979c9b9e1ac2cad0104ee BUILD_AND_DOWNLOAD_PARALLEL=8 SGL_KERNEL_VERSION=0.4.2.post2 SGL_VERSION=0.5.12.post1 SGL_DEEP_GEMM_VERSION=0.1.0 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.11.post1 MOONCAKE_VERSION=0.3.10.post2 MOONCAKE_COMPILE_ARG=-DUSE_HTTP=ON -DUSE_MNNVL=ON -DUSE_CUDA=ON -DWITH_EP=ON CUDA_VERSION=13.0.1 /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
                        
# 2026-05-23 19:08:17  28.44MB 执行命令并创建新的镜像层
RUN |21 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote GRACE_BLACKWELL=0 HOPPER_SBO=0 HOPPER_SBO_DEEPEP_COMMIT=9f2fc4b3182a51044ae7ecb6610f7c9c3258c4d6 DEEPEP_COMMIT=9af0e0d0e74f3577af1979c9b9e1ac2cad0104ee BUILD_AND_DOWNLOAD_PARALLEL=8 SGL_KERNEL_VERSION=0.4.2.post2 SGL_VERSION=0.5.12.post1 SGL_DEEP_GEMM_VERSION=0.1.0 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.11.post1 MOONCAKE_VERSION=0.3.10.post2 MOONCAKE_COMPILE_ARG=-DUSE_HTTP=ON -DUSE_MNNVL=ON -DUSE_CUDA=ON -DWITH_EP=ON CUDA_VERSION=13.0.1 /bin/sh -c python3 -m pip install --upgrade "urllib3>=2.6.3" "pillow>=12.1.1" # buildkit
                        
# 2026-05-23 19:08:15  387.00B 复制新文件或目录到容器中
COPY docker/configs/.zshrc /root/.zshrc # buildkit
                        
# 2026-05-23 19:08:15  607.00B 复制新文件或目录到容器中
COPY docker/configs/opt/.gitconfig /opt/sglang/.gitconfig # buildkit
                        
# 2026-05-23 19:08:15  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
                        
# 2026-05-23 19:08:15  914.00B 复制新文件或目录到容器中
COPY docker/configs/opt/.vimrc /opt/sglang/.vimrc # buildkit
                        
# 2026-05-23 19:08:15  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
                        
# 2026-05-23 19:08:15  479.70MB 执行命令并创建新的镜像层
RUN |21 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote GRACE_BLACKWELL=0 HOPPER_SBO=0 HOPPER_SBO_DEEPEP_COMMIT=9f2fc4b3182a51044ae7ecb6610f7c9c3258c4d6 DEEPEP_COMMIT=9af0e0d0e74f3577af1979c9b9e1ac2cad0104ee BUILD_AND_DOWNLOAD_PARALLEL=8 SGL_KERNEL_VERSION=0.4.2.post2 SGL_VERSION=0.5.12.post1 SGL_DEEP_GEMM_VERSION=0.1.0 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.11.post1 MOONCAKE_VERSION=0.3.10.post2 MOONCAKE_COMPILE_ARG=-DUSE_HTTP=ON -DUSE_MNNVL=ON -DUSE_CUDA=ON -DWITH_EP=ON CUDA_VERSION=13.0.1 /bin/sh -c if [ "${CUDA_VERSION%%.*}" = "12" ]; then     python3 -m pip install nixl nixl-cu12 --no-deps ;     python3 -m pip install cuda-python==12.9 ;     cd /sgl-workspace && git clone https://github.com/deepseek-ai/FlashMLA.git flash-mla     && cd flash-mla && git submodule update --init --recursive     && pip install --no-build-isolation -v . ; elif [ "${CUDA_VERSION%%.*}" = "13" ]; then     python3 -m pip install nixl nixl-cu13 --no-deps ;     python3 -m pip install cuda-python==13.2.0 ;     cd /sgl-workspace && git clone https://github.com/deepseek-ai/FlashMLA.git flash-mla     && ln -s /usr/local/cuda/include/cccl/cuda /usr/local/cuda/include/cuda     && cd flash-mla && git submodule update --init --recursive     && pip install --no-build-isolation -v . ; fi # buildkit
                        
# 2026-05-23 19:06:04  334.60MB 执行命令并创建新的镜像层
RUN |21 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote GRACE_BLACKWELL=0 HOPPER_SBO=0 HOPPER_SBO_DEEPEP_COMMIT=9f2fc4b3182a51044ae7ecb6610f7c9c3258c4d6 DEEPEP_COMMIT=9af0e0d0e74f3577af1979c9b9e1ac2cad0104ee BUILD_AND_DOWNLOAD_PARALLEL=8 SGL_KERNEL_VERSION=0.4.2.post2 SGL_VERSION=0.5.12.post1 SGL_DEEP_GEMM_VERSION=0.1.0 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.11.post1 MOONCAKE_VERSION=0.3.10.post2 MOONCAKE_COMPILE_ARG=-DUSE_HTTP=ON -DUSE_MNNVL=ON -DUSE_CUDA=ON -DWITH_EP=ON CUDA_VERSION=13.0.1 /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
                        
# 2026-05-23 19:05:51  128.86MB 执行命令并创建新的镜像层
RUN |21 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote GRACE_BLACKWELL=0 HOPPER_SBO=0 HOPPER_SBO_DEEPEP_COMMIT=9f2fc4b3182a51044ae7ecb6610f7c9c3258c4d6 DEEPEP_COMMIT=9af0e0d0e74f3577af1979c9b9e1ac2cad0104ee BUILD_AND_DOWNLOAD_PARALLEL=8 SGL_KERNEL_VERSION=0.4.2.post2 SGL_VERSION=0.5.12.post1 SGL_DEEP_GEMM_VERSION=0.1.0 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.11.post1 MOONCAKE_VERSION=0.3.10.post2 MOONCAKE_COMPILE_ARG=-DUSE_HTTP=ON -DUSE_MNNVL=ON -DUSE_CUDA=ON -DWITH_EP=ON CUDA_VERSION=13.0.1 /bin/sh -c CUDA_MAJOR="${CUDA_VERSION%%.*}" &&     if [ "$CUDA_MAJOR" -ge 13 ]; then         python3 -m pip install mooncake-transfer-engine-cuda13==${MOONCAKE_VERSION};     else         python3 -m pip install mooncake-transfer-engine==${MOONCAKE_VERSION};     fi # buildkit
                        
# 2026-05-23 19:05:49  614.72MB 执行命令并创建新的镜像层
RUN |21 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote GRACE_BLACKWELL=0 HOPPER_SBO=0 HOPPER_SBO_DEEPEP_COMMIT=9f2fc4b3182a51044ae7ecb6610f7c9c3258c4d6 DEEPEP_COMMIT=9af0e0d0e74f3577af1979c9b9e1ac2cad0104ee BUILD_AND_DOWNLOAD_PARALLEL=8 SGL_KERNEL_VERSION=0.4.2.post2 SGL_VERSION=0.5.12.post1 SGL_DEEP_GEMM_VERSION=0.1.0 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.11.post1 MOONCAKE_VERSION=0.3.10.post2 MOONCAKE_COMPILE_ARG=-DUSE_HTTP=ON -DUSE_MNNVL=ON -DUSE_CUDA=ON -DWITH_EP=ON CUDA_VERSION=13.0.1 /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
                        
# 2026-05-23 19:05:23  214.83MB 执行命令并创建新的镜像层
RUN |21 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote GRACE_BLACKWELL=0 HOPPER_SBO=0 HOPPER_SBO_DEEPEP_COMMIT=9f2fc4b3182a51044ae7ecb6610f7c9c3258c4d6 DEEPEP_COMMIT=9af0e0d0e74f3577af1979c9b9e1ac2cad0104ee BUILD_AND_DOWNLOAD_PARALLEL=8 SGL_KERNEL_VERSION=0.4.2.post2 SGL_VERSION=0.5.12.post1 SGL_DEEP_GEMM_VERSION=0.1.0 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.11.post1 MOONCAKE_VERSION=0.3.10.post2 MOONCAKE_COMPILE_ARG=-DUSE_HTTP=ON -DUSE_MNNVL=ON -DUSE_CUDA=ON -DWITH_EP=ON CUDA_VERSION=13.0.1 /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
                        
# 2026-05-23 19:05:11  12.04MB 复制新文件或目录到容器中
COPY /root/.oh-my-zsh /root/.oh-my-zsh # buildkit
                        
# 2026-05-23 19:05:11  4.91MB 复制新文件或目录到容器中
COPY /tools/just /usr/local/bin/ # buildkit
                        
# 2026-05-23 19:05:11  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
                        
# 2026-05-23 19:05:11  17.73MB 复制新文件或目录到容器中
COPY /tools/cpack /usr/local/bin/ # buildkit
                        
# 2026-05-23 19:05:11  18.76MB 复制新文件或目录到容器中
COPY /tools/ctest /usr/local/bin/ # buildkit
                        
# 2026-05-23 19:05:11  17.24MB 复制新文件或目录到容器中
COPY /tools/cmake /usr/local/bin/ # buildkit
                        
# 2026-05-23 19:05:11  13.39MB 复制新文件或目录到容器中
COPY /tools/lib /usr/local/lib/ # buildkit
                        
# 2026-05-23 19:05:11  129.15MB 复制新文件或目录到容器中
COPY /tools/clangd /usr/local/bin/ # buildkit
                        
# 2026-05-23 19:05:10  4.02MB 复制新文件或目录到容器中
COPY /tools/clang-format /usr/local/bin/ # buildkit
                        
# 2026-05-23 19:05:10  40.93KB 复制新文件或目录到容器中
COPY /tools/diff-so-fancy /usr/local/bin/ # buildkit
                        
# 2026-05-23 19:05:10  8.20GB 复制新文件或目录到容器中
COPY /flashinfer_jit_output/ /usr/local/lib/python3.12/dist-packages/ # buildkit
                        
# 2026-05-23 19:04:53  41.72MB 执行命令并创建新的镜像层
RUN |21 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote GRACE_BLACKWELL=0 HOPPER_SBO=0 HOPPER_SBO_DEEPEP_COMMIT=9f2fc4b3182a51044ae7ecb6610f7c9c3258c4d6 DEEPEP_COMMIT=9af0e0d0e74f3577af1979c9b9e1ac2cad0104ee BUILD_AND_DOWNLOAD_PARALLEL=8 SGL_KERNEL_VERSION=0.4.2.post2 SGL_VERSION=0.5.12.post1 SGL_DEEP_GEMM_VERSION=0.1.0 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.11.post1 MOONCAKE_VERSION=0.3.10.post2 MOONCAKE_COMPILE_ARG=-DUSE_HTTP=ON -DUSE_MNNVL=ON -DUSE_CUDA=ON -DWITH_EP=ON CUDA_VERSION=13.0.1 /bin/sh -c pip install /tmp/wheels/deepep/*.whl && rm -rf /tmp/wheels/deepep # buildkit
                        
# 2026-05-23 19:04:52  92.02MB 复制新文件或目录到容器中
COPY /build/DeepEP /sgl-workspace/DeepEP # buildkit
                        
# 2026-05-23 19:04:52  13.40MB 复制新文件或目录到容器中
COPY /wheels /tmp/wheels/deepep # buildkit
                        
# 2026-05-23 19:02:49  0.00B 设置工作目录为/sgl-workspace
WORKDIR /sgl-workspace
                        
# 2026-05-23 19:02:49  0.00B 定义构建参数
ARG MOONCAKE_COMPILE_ARG
                        
# 2026-05-23 19:02:49  0.00B 定义构建参数
ARG MOONCAKE_VERSION
                        
# 2026-05-23 19:02:49  0.00B 定义构建参数
ARG GITHUB_ARTIFACTORY
                        
# 2026-05-23 19:02:49  0.00B 定义构建参数
ARG USE_LATEST_SGLANG
                        
# 2026-05-23 19:02:49  0.00B 定义构建参数
ARG SGL_VERSION=0.5.12.post1
                        
# 2026-05-23 19:02:49  0.00B 定义构建参数
ARG BUILD_AND_DOWNLOAD_PARALLEL
                        
# 2026-05-23 19:02:49  0.00B 定义构建参数
ARG CUDA_VERSION=13.0.1
                        
# 2026-05-23 19:02:49  0.00B 定义构建参数
ARG BUILD_TYPE=all
                        
# 2026-05-23 19:02:49  0.00B 定义构建参数
ARG BRANCH_TYPE
                        
# 2026-05-23 19:02:49  8.93GB 执行命令并创建新的镜像层
RUN |21 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote GRACE_BLACKWELL=0 HOPPER_SBO=0 HOPPER_SBO_DEEPEP_COMMIT=9f2fc4b3182a51044ae7ecb6610f7c9c3258c4d6 DEEPEP_COMMIT=9af0e0d0e74f3577af1979c9b9e1ac2cad0104ee BUILD_AND_DOWNLOAD_PARALLEL=8 SGL_KERNEL_VERSION=0.4.2.post2 SGL_VERSION=0.5.12.post1 SGL_DEEP_GEMM_VERSION=0.1.0 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.11.post1 MOONCAKE_VERSION=0.3.10.post2 MOONCAKE_COMPILE_ARG=-DUSE_HTTP=ON -DUSE_MNNVL=ON -DUSE_CUDA=ON -DWITH_EP=ON CUDA_VERSION=13.0.1 /bin/sh -c case "$CUDA_VERSION" in         12.6.1) CUINDEX=126 ;;         12.8.1) CUINDEX=128 ;;         12.9.1) CUINDEX=129 ;;         13.0.1) 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} ".[${BUILD_TYPE}]"     && if [ "${CUDA_VERSION%%.*}" = "12" ]; then            pip list --format=freeze | awk -F'==' '/-cu13(==|$)/ {print $1}'                | xargs -r python3 -m pip uninstall -y &&            python3 -m pip install --index-url https://download.pytorch.org/whl/cu${CUINDEX}                torch torchvision torchaudio --force-reinstall;            python3 -m pip install https://github.com/sgl-project/whl/releases/download/v${SGL_DEEP_GEMM_VERSION}/sgl_deep_gemm-${SGL_DEEP_GEMM_VERSION}+cu129-py3-none-manylinux2014_$(uname -m).whl --force-reinstall;        fi     && cd /sgl-workspace     && rm -rf /tmp/sglang_deps     && pip freeze | grep -v "^sglang==" > /sgl-workspace/constraints.txt # buildkit
                        
# 2026-05-23 18:59:15  7.06KB 复制新文件或目录到容器中
COPY proto /tmp/sglang_deps/proto # buildkit
                        
# 2026-05-23 18:59:15  4.21KB 复制新文件或目录到容器中
COPY rust/sglang-grpc /tmp/sglang_deps/rust/sglang-grpc # buildkit
                        
# 2026-05-23 18:59:15  5.10KB 复制新文件或目录到容器中
COPY python/pyproject.toml /tmp/sglang_deps/python/pyproject.toml # buildkit
                        
# 2026-05-23 18:59:15  1.18GB 执行命令并创建新的镜像层
RUN |21 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote GRACE_BLACKWELL=0 HOPPER_SBO=0 HOPPER_SBO_DEEPEP_COMMIT=9f2fc4b3182a51044ae7ecb6610f7c9c3258c4d6 DEEPEP_COMMIT=9af0e0d0e74f3577af1979c9b9e1ac2cad0104ee BUILD_AND_DOWNLOAD_PARALLEL=8 SGL_KERNEL_VERSION=0.4.2.post2 SGL_VERSION=0.5.12.post1 SGL_DEEP_GEMM_VERSION=0.1.0 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.11.post1 MOONCAKE_VERSION=0.3.10.post2 MOONCAKE_COMPILE_ARG=-DUSE_HTTP=ON -DUSE_MNNVL=ON -DUSE_CUDA=ON -DWITH_EP=ON CUDA_VERSION=13.0.1 /bin/sh -c python3 -m pip install --upgrade pip setuptools wheel html5lib six     && case "$CUDA_VERSION" in         12.6.1) CUINDEX=126 ;;         12.8.1) CUINDEX=128 ;;         12.9.1) CUINDEX=129 ;;         13.0.1) CUINDEX=130 ;;         *) echo "Unsupported CUDA version: $CUDA_VERSION" && exit 1 ;;     esac     && if [ "$CUDA_VERSION" = "12.6.1" ]; then         python3 -m pip install https://${GITHUB_ARTIFACTORY}/sgl-project/whl/releases/download/v${SGL_KERNEL_VERSION}/sglang_kernel-${SGL_KERNEL_VERSION}+cu124-cp310-abi3-manylinux2014_$(uname -m).whl --force-reinstall --no-deps     ;     elif [ "$CUDA_VERSION" = "12.8.1" ] || [ "$CUDA_VERSION" = "12.9.1" ]; then         python3 -m pip install https://github.com/sgl-project/whl/releases/download/v${SGL_KERNEL_VERSION}/sglang_kernel-${SGL_KERNEL_VERSION}+cu129-cp310-abi3-manylinux2014_$(uname -m).whl --force-reinstall --no-deps     ;     elif [ "$CUDA_VERSION" = "13.0.1" ]; then         python3 -m pip install sglang-kernel==${SGL_KERNEL_VERSION} --force-reinstall --no-deps     ;     else         echo "Unsupported CUDA version: $CUDA_VERSION" && exit 1     ;     fi # buildkit
                        
# 2026-05-23 18:59:02  633.28MB 执行命令并创建新的镜像层
RUN |21 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote GRACE_BLACKWELL=0 HOPPER_SBO=0 HOPPER_SBO_DEEPEP_COMMIT=9f2fc4b3182a51044ae7ecb6610f7c9c3258c4d6 DEEPEP_COMMIT=9af0e0d0e74f3577af1979c9b9e1ac2cad0104ee BUILD_AND_DOWNLOAD_PARALLEL=8 SGL_KERNEL_VERSION=0.4.2.post2 SGL_VERSION=0.5.12.post1 SGL_DEEP_GEMM_VERSION=0.1.0 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.11.post1 MOONCAKE_VERSION=0.3.10.post2 MOONCAKE_COMPILE_ARG=-DUSE_HTTP=ON -DUSE_MNNVL=ON -DUSE_CUDA=ON -DWITH_EP=ON CUDA_VERSION=13.0.1 /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
                        
# 2026-05-23 18:58:52  0.00B 设置环境变量 PATH
ENV PATH=/root/.cargo/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
                        
# 2026-05-23 18:58:52  0.00B 设置工作目录为/sgl-workspace
WORKDIR /sgl-workspace
                        
# 2026-05-23 18:58:52  0.00B 定义构建参数
ARG GITHUB_ARTIFACTORY
                        
# 2026-05-23 18:58:52  0.00B 定义构建参数
ARG SGL_KERNEL_VERSION
                        
# 2026-05-23 18:58:52  0.00B 定义构建参数
ARG BUILD_TYPE=all
                        
# 2026-05-23 18:58:52  0.00B 定义构建参数
ARG CUDA_VERSION=13.0.1
                        
# 2026-05-23 18:58:52  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
                        
# 2026-05-23 18:58:52  3.07MB 执行命令并创建新的镜像层
RUN |20 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote GRACE_BLACKWELL=0 HOPPER_SBO=0 HOPPER_SBO_DEEPEP_COMMIT=9f2fc4b3182a51044ae7ecb6610f7c9c3258c4d6 DEEPEP_COMMIT=9af0e0d0e74f3577af1979c9b9e1ac2cad0104ee BUILD_AND_DOWNLOAD_PARALLEL=8 SGL_KERNEL_VERSION=0.4.2.post2 SGL_VERSION=0.5.12.post1 SGL_DEEP_GEMM_VERSION=0.1.0 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.11.post1 MOONCAKE_VERSION=0.3.10.post2 MOONCAKE_COMPILE_ARG=-DUSE_HTTP=ON -DUSE_MNNVL=ON -DUSE_CUDA=ON -DWITH_EP=ON /bin/sh -c locale-gen en_US.UTF-8 # buildkit
                        
# 2026-05-23 18:58:51  38.00B 执行命令并创建新的镜像层
RUN |20 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote GRACE_BLACKWELL=0 HOPPER_SBO=0 HOPPER_SBO_DEEPEP_COMMIT=9f2fc4b3182a51044ae7ecb6610f7c9c3258c4d6 DEEPEP_COMMIT=9af0e0d0e74f3577af1979c9b9e1ac2cad0104ee BUILD_AND_DOWNLOAD_PARALLEL=8 SGL_KERNEL_VERSION=0.4.2.post2 SGL_VERSION=0.5.12.post1 SGL_DEEP_GEMM_VERSION=0.1.0 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.11.post1 MOONCAKE_VERSION=0.3.10.post2 MOONCAKE_COMPILE_ARG=-DUSE_HTTP=ON -DUSE_MNNVL=ON -DUSE_CUDA=ON -DWITH_EP=ON /bin/sh -c ln -sf /usr/lib/$(uname -m)-linux-gnu/libmlx5.so.1 /usr/lib/$(uname -m)-linux-gnu/libmlx5.so # buildkit
                        
# 2026-05-23 18:58:51  4.78MB 执行命令并创建新的镜像层
RUN |20 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote GRACE_BLACKWELL=0 HOPPER_SBO=0 HOPPER_SBO_DEEPEP_COMMIT=9f2fc4b3182a51044ae7ecb6610f7c9c3258c4d6 DEEPEP_COMMIT=9af0e0d0e74f3577af1979c9b9e1ac2cad0104ee BUILD_AND_DOWNLOAD_PARALLEL=8 SGL_KERNEL_VERSION=0.4.2.post2 SGL_VERSION=0.5.12.post1 SGL_DEEP_GEMM_VERSION=0.1.0 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.11.post1 MOONCAKE_VERSION=0.3.10.post2 MOONCAKE_COMPILE_ARG=-DUSE_HTTP=ON -DUSE_MNNVL=ON -DUSE_CUDA=ON -DWITH_EP=ON /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
                        
# 2026-05-23 18:58:16  0.00B 执行命令并创建新的镜像层
RUN |20 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote GRACE_BLACKWELL=0 HOPPER_SBO=0 HOPPER_SBO_DEEPEP_COMMIT=9f2fc4b3182a51044ae7ecb6610f7c9c3258c4d6 DEEPEP_COMMIT=9af0e0d0e74f3577af1979c9b9e1ac2cad0104ee BUILD_AND_DOWNLOAD_PARALLEL=8 SGL_KERNEL_VERSION=0.4.2.post2 SGL_VERSION=0.5.12.post1 SGL_DEEP_GEMM_VERSION=0.1.0 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.11.post1 MOONCAKE_VERSION=0.3.10.post2 MOONCAKE_COMPILE_ARG=-DUSE_HTTP=ON -DUSE_MNNVL=ON -DUSE_CUDA=ON -DWITH_EP=ON /bin/sh -c if [ -n "${PIP_DEFAULT_INDEX}" ]; then     python3 -m pip config set global.index-url ${PIP_DEFAULT_INDEX}; fi # buildkit
                        
# 2026-05-23 18:58:16  1.62GB 执行命令并创建新的镜像层
RUN |20 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote GRACE_BLACKWELL=0 HOPPER_SBO=0 HOPPER_SBO_DEEPEP_COMMIT=9f2fc4b3182a51044ae7ecb6610f7c9c3258c4d6 DEEPEP_COMMIT=9af0e0d0e74f3577af1979c9b9e1ac2cad0104ee BUILD_AND_DOWNLOAD_PARALLEL=8 SGL_KERNEL_VERSION=0.4.2.post2 SGL_VERSION=0.5.12.post1 SGL_DEEP_GEMM_VERSION=0.1.0 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.11.post1 MOONCAKE_VERSION=0.3.10.post2 MOONCAKE_COMPILE_ARG=-DUSE_HTTP=ON -DUSE_MNNVL=ON -DUSE_CUDA=ON -DWITH_EP=ON /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
                        
# 2026-05-23 18:57:24  383.22MB 执行命令并创建新的镜像层
RUN |20 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote GRACE_BLACKWELL=0 HOPPER_SBO=0 HOPPER_SBO_DEEPEP_COMMIT=9f2fc4b3182a51044ae7ecb6610f7c9c3258c4d6 DEEPEP_COMMIT=9af0e0d0e74f3577af1979c9b9e1ac2cad0104ee BUILD_AND_DOWNLOAD_PARALLEL=8 SGL_KERNEL_VERSION=0.4.2.post2 SGL_VERSION=0.5.12.post1 SGL_DEEP_GEMM_VERSION=0.1.0 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.11.post1 MOONCAKE_VERSION=0.3.10.post2 MOONCAKE_COMPILE_ARG=-DUSE_HTTP=ON -DUSE_MNNVL=ON -DUSE_CUDA=ON -DWITH_EP=ON /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     && wget -q https://bootstrap.pypa.io/get-pip.py     && python3 get-pip.py --break-system-packages     && rm get-pip.py     && python3 -m pip config set global.break-system-packages true     && cd /usr/lib/python3/dist-packages/     && ln -s apt_pkg.cpython-312-*-linux-gnu.so apt_pkg.so # buildkit
                        
# 2026-05-23 18:56:57  0.00B 执行命令并创建新的镜像层
RUN |20 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote GRACE_BLACKWELL=0 HOPPER_SBO=0 HOPPER_SBO_DEEPEP_COMMIT=9f2fc4b3182a51044ae7ecb6610f7c9c3258c4d6 DEEPEP_COMMIT=9af0e0d0e74f3577af1979c9b9e1ac2cad0104ee BUILD_AND_DOWNLOAD_PARALLEL=8 SGL_KERNEL_VERSION=0.4.2.post2 SGL_VERSION=0.5.12.post1 SGL_DEEP_GEMM_VERSION=0.1.0 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.6.11.post1 MOONCAKE_VERSION=0.3.10.post2 MOONCAKE_COMPILE_ARG=-DUSE_HTTP=ON -DUSE_MNNVL=ON -DUSE_CUDA=ON -DWITH_EP=ON /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
                        
# 2026-05-23 18:56:57  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
                        
# 2026-05-23 18:56:57  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=0.6.11.post1
                        
# 2026-05-23 18:56:57  0.00B 定义构建参数
ARG MOONCAKE_COMPILE_ARG=-DUSE_HTTP=ON -DUSE_MNNVL=ON -DUSE_CUDA=ON -DWITH_EP=ON
                        
# 2026-05-23 18:56:57  0.00B 定义构建参数
ARG MOONCAKE_VERSION=0.3.10.post2
                        
# 2026-05-23 18:56:57  0.00B 定义构建参数
ARG FLASHINFER_VERSION=0.6.11.post1
                        
# 2026-05-23 18:56:57  0.00B 定义构建参数
ARG INSTALL_FLASHINFER_JIT_CACHE=1
                        
# 2026-05-23 18:56:57  0.00B 定义构建参数
ARG GITHUB_ARTIFACTORY=github.com
                        
# 2026-05-23 18:56:57  0.00B 定义构建参数
ARG UBUNTU_MIRROR
                        
# 2026-05-23 18:56:57  0.00B 定义构建参数
ARG PIP_DEFAULT_INDEX
                        
# 2026-05-23 18:56:57  0.00B 定义构建参数
ARG GDRCOPY_VERSION=2.5.1
                        
# 2026-05-23 18:56:57  0.00B 定义构建参数
ARG USE_LATEST_SGLANG=0
                        
# 2026-05-23 18:56:57  0.00B 定义构建参数
ARG SGL_DEEP_GEMM_VERSION=0.1.0
                        
# 2026-05-23 18:56:57  0.00B 定义构建参数
ARG SGL_VERSION=0.5.12.post1
                        
# 2026-05-23 18:56:57  0.00B 定义构建参数
ARG SGL_KERNEL_VERSION=0.4.2.post2
                        
# 2026-05-23 18:56:57  0.00B 定义构建参数
ARG BUILD_AND_DOWNLOAD_PARALLEL=8
                        
# 2026-05-23 18:56:57  0.00B 定义构建参数
ARG DEEPEP_COMMIT=9af0e0d0e74f3577af1979c9b9e1ac2cad0104ee
                        
# 2026-05-23 18:56:57  0.00B 定义构建参数
ARG HOPPER_SBO_DEEPEP_COMMIT=9f2fc4b3182a51044ae7ecb6610f7c9c3258c4d6
                        
# 2026-05-23 18:56:57  0.00B 定义构建参数
ARG HOPPER_SBO=0
                        
# 2026-05-23 18:56:57  0.00B 定义构建参数
ARG GRACE_BLACKWELL=0
                        
# 2026-05-23 18:56:57  0.00B 定义构建参数
ARG BRANCH_TYPE=remote
                        
# 2026-05-23 18:56:57  0.00B 定义构建参数
ARG BUILD_TYPE=all
                        
# 2026-05-23 18:56:57  0.00B 定义构建参数
ARG TARGETARCH=amd64
                        
# 2025-09-09 01:30:50  461.65MB 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
                        
# 2025-09-09 01:30:50  0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=9.13.0.50-1
                        
# 2025-09-09 01:30:50  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-09-09 01:30:50  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-09-09 01:30:50  0.00B 设置环境变量 NV_CUDNN_PACKAGE_DEV_HEADERS
ENV NV_CUDNN_PACKAGE_DEV_HEADERS=libcudnn9-headers-cuda-13=9.13.0.50-1
                        
# 2025-09-09 01:30:50  0.00B 设置环境变量 NV_CUDNN_PACKAGE_DEV
ENV NV_CUDNN_PACKAGE_DEV=libcudnn9-dev-cuda-13=9.13.0.50-1
                        
# 2025-09-09 01:30:50  0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn9-cuda-13=9.13.0.50-1
                        
# 2025-09-09 01:30:50  0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-13
                        
# 2025-09-09 01:30:50  0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=9.13.0.50-1
                        
# 2025-09-09 01:29:51  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2025-09-09 01:29:51  392.24KB 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
                        
# 2025-09-09 01:29:51  4.92GB 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
                        
# 2025-09-09 01:29:51  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-09-09 01:29:51  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-09-09 01:29:51  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
                        
# 2025-09-09 01:29:51  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.28.3-1
                        
# 2025-09-09 01:29:51  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.28.3-1
                        
# 2025-09-09 01:29:51  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
                        
# 2025-09-09 01:29:51  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=13.0.1-1
                        
# 2025-09-09 01:29:51  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=13.0.1-1
                        
# 2025-09-09 01:29:51  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-13-0=13.0.2.14-1
                        
# 2025-09-09 01:29:51  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-13-0
                        
# 2025-09-09 01:29:51  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=13.0.2.14-1
                        
# 2025-09-09 01:29:51  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
                        
# 2025-09-09 01:29:51  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=13.0.1.2-1
                        
# 2025-09-09 01:29:51  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.6.3.3-1
                        
# 2025-09-09 01:29:51  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=13.0.87-1
                        
# 2025-09-09 01:29:51  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=13.0.88-1
                        
# 2025-09-09 01:29:51  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=13.0.1-1
                        
# 2025-09-09 00:36:59  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2025-09-09 00:36:59  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2025-09-09 00:36:59  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2025-09-09 00:36:59  240.06KB 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
                        
# 2025-09-09 00:36:59  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
                        
# 2025-09-09 00:36:59  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-09-09 00:36:59  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.28.3-1+cuda13.0
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.28.3-1
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.28.3-1
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-13-0=13.0.2.14-1
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=13.0.2.14-1
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-13-0
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.6.3.3-1
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-13-0=13.0.1.2-1
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=13.0.1.2-1
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=13.0.85-1
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=13.0.1-1
                        
# 2025-09-09 00:25:14  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2025-09-09 00:25:14  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2025-09-09 00:25:14  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2025-09-09 00:25:14  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 00:25:14  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 00:25:14  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
                        
# 2025-09-09 00:25:14  322.86MB 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-compat-13-0     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-09-09 00:23:24  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=13.0.1
                        
# 2025-09-09 00:23:24  10.26MB 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 -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
                        
# 2025-09-09 00:23:24  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-09-09 00:23:24  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-09-09 00:23:24  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=13.0.88-1
                        
# 2025-09-09 00:23:24  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 00:23:24  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2025-08-19 22:37:01  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-08-19 22:37:00  78.12MB 
/bin/sh -c #(nop) ADD file:e67907c77897d27192314f6c4fa0112b6f7dce3e127500516535cc50fe736c92 in / 
                        
# 2025-08-19 22:36:58  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=24.04
                        
# 2025-08-19 22:36:58  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2025-08-19 22:36:58  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2025-08-19 22:36:58  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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    "Id": "sha256:b9079f568489b6620b580c2658e68e24791f02a212c4de23b8b5d42661de4b11",
    "RepoTags": [
        "lmsysorg/sglang:v0.5.12.post1",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.5.12.post1"
    ],
    "RepoDigests": [
        "lmsysorg/sglang@sha256:ceaf8b16e02d165143633ac228bbb994a05fe77d7e0526cf035ae4bbf4eacc36",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang@sha256:532775edcfcd3cd9cd450f663867046e7554c911c088d3738a112bbd15c825fc"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2026-05-23T11:11:12.841059517Z",
    "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:/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=13.0.88-1",
            "CUDA_VERSION=13.0.1",
            "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=13.0.1-1",
            "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=13.0.2.14-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-13-0=13.0.2.14-1",
            "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=13.0.88-1",
            "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=13.0.2.14-1",
            "NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-13-0",
            "NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-13-0=13.0.2.14-1",
            "NV_CUDA_NSIGHT_COMPUTE_VERSION=13.0.1-1",
            "NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-13-0=13.0.1-1",
            "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=9.13.0.50-1",
            "NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-13",
            "NV_CUDNN_PACKAGE=libcudnn9-cuda-13=9.13.0.50-1",
            "NV_CUDNN_PACKAGE_DEV=libcudnn9-dev-cuda-13=9.13.0.50-1",
            "NV_CUDNN_PACKAGE_DEV_HEADERS=libcudnn9-headers-cuda-13=9.13.0.50-1",
            "DEBIAN_FRONTEND=noninteractive",
            "CUDA_HOME=/usr/local/cuda",
            "GDRCOPY_HOME=/usr/src/gdrdrv-2.5.1/",
            "FLASHINFER_VERSION=0.6.11.post1",
            "LANG=en_US.UTF-8",
            "LANGUAGE=en_US:en",
            "LC_ALL=en_US.UTF-8",
            "SGLANG_BUILD_COMMIT=5a15cde858ea09b77116212a39356f2fc51b8584",
            "SGLANG_BUILD_URL=https://github.com/sgl-project/sglang/actions/runs/26328908289",
            "SGLANG_IMAGE_TAG=lmsysorg/sglang:v0.5.12.post1"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/sgl-workspace/sglang",
        "Entrypoint": [
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        "Labels": {
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            "ai.sglang.build.url": "https://github.com/sgl-project/sglang/actions/runs/26328908289",
            "ai.sglang.image.tag": "lmsysorg/sglang:v0.5.12.post1",
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            "maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
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            "org.opencontainers.image.revision": "5a15cde858ea09b77116212a39356f2fc51b8584",
            "org.opencontainers.image.source": "https://github.com/sgl-project/sglang",
            "org.opencontainers.image.url": "https://github.com/sgl-project/sglang/actions/runs/26328908289",
            "org.opencontainers.image.version": "lmsysorg/sglang:v0.5.12.post1"
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    "Architecture": "amd64",
    "Os": "linux",
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    "GraphDriver": {
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}

更多版本

docker.io/lmsysorg/sglang:v0.2.0-cu124

linux/amd64 docker.io16.10GB2024-07-26 19:20
2256

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docker.io/lmsysorg/sglang:v0.4.1.post3-cu124-srt

linux/amd64 docker.io19.60GB2025-01-01 00:27
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docker.io/lmsysorg/sglang:v0.4.1.post3-cu124

linux/amd64 docker.io19.63GB2025-01-01 00:55
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linux/amd64 docker.io19.62GB2025-01-25 01:15
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docker.io/lmsysorg/sglang:v0.4.2.post2-cu125

linux/amd64 docker.io18.94GB2025-02-08 01:46
839

docker.io/lmsysorg/sglang:v0.4.2.post3-cu125

linux/amd64 docker.io18.94GB2025-02-10 00:38
761

docker.io/lmsysorg/sglang:v0.4.2.post4-cu125

linux/amd64 docker.io18.37GB2025-02-12 01:31
1272

docker.io/lmsysorg/sglang:v0.4.3.post2-cu124

linux/amd64 docker.io18.36GB2025-02-23 18:37
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docker.io/lmsysorg/sglang:v0.4.3.post2-rocm630-srt

linux/amd64 docker.io50.09GB2025-03-04 00:51
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670

docker.io/lmsysorg/sglang:v0.4.3.post3-cu124

linux/amd64 docker.io18.40GB2025-03-10 05:17
435

docker.io/lmsysorg/sglang:v0.4.3.post4-cu125

linux/amd64 docker.io18.61GB2025-03-11 00:39
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docker.io/lmsysorg/sglang:v0.4.4.post1-cu125

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docker.io/lmsysorg/sglang:v0.4.4.post1-cu124

linux/amd64 docker.io15.66GB2025-03-22 00:52
499

docker.io/lmsysorg/sglang:v0.4.4.post3-cu125

linux/amd64 docker.io14.38GB2025-04-01 00:21
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docker.io/lmsysorg/sglang:v0.4.4.post2-cu124

linux/amd64 docker.io14.39GB2025-04-02 01:05
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docker.io/lmsysorg/sglang:v0.4.5-cu125

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docker.io/lmsysorg/sglang:v0.4.5.post3-cu125

linux/amd64 docker.io14.20GB2025-04-26 01:11
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docker.io/lmsysorg/sglang:v0.4.6.post2-cu124

linux/amd64 docker.io15.18GB2025-05-02 00:35
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docker.io/lmsysorg/sglang:v0.4.6.post3-cu124

linux/amd64 docker.io14.98GB2025-05-14 03:19
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docker.io/lmsysorg/sglang:v0.4.4.post4-cu125

linux/amd64 docker.io14.75GB2025-05-22 02:29
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docker.io/lmsysorg/sglang:v0.4.5.post1-cu125

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docker.io/lmsysorg/sglang:v0.4.6.post4-cu124

linux/amd64 docker.io14.87GB2025-05-23 01:52
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docker.io/lmsysorg/sglang:v0.4.7-cu124

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docker.io/lmsysorg/sglang:v0.4.7.post1-cu124

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