docker.io/lmsysorg/sglang:blackwell linux/amd64

Docker拉取命令

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

Containerd拉取命令

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

Shell快速替换命令

sed -i 's#lmsysorg/sglang:blackwell#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:blackwell#' 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:blackwell && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:blackwell  docker.io/lmsysorg/sglang:blackwell'

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:blackwell && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:blackwell  docker.io/lmsysorg/sglang:blackwell'

镜像构建历史

# 2025-06-11 08:18:52  0.00B 设置工作目录为/sgl-workspace/sglang
WORKDIR /sgl-workspace/sglang
                        
# 2025-06-11 08:18:52  387.00B 复制新文件或目录到容器中
COPY --chown=root:root <<EOF /root/.zshrc # buildkit
                        
# 2025-06-11 08:18:52  601.00B 执行命令并创建新的镜像层
RUN /bin/sh -c git config --global core.editor "vim"     && git config --global core.whitespace "fix,-indent-with-non-tab,trailing-space,cr-at-eol"     && git config --global core.pager "diff-so-fancy | less --tabs=4 -RFX"     && git config --global color.ui true     && git config --global color."diff-highlight".oldNormal "red bold"     && git config --global color."diff-highlight".oldHighlight "red bold 52"     && git config --global color."diff-highlight".newNormal "green bold"     && git config --global color."diff-highlight".newHighlight "green bold 22"     && git config --global color.diff.meta "11"     && git config --global color.diff.frag "magenta bold"     && git config --global color.diff.commit "yellow bold"     && git config --global color.diff.old "red bold"     && git config --global color.diff.new "green bold"     && git config --global color.diff.whitespace "red reverse"     && git config --global alias.lg "log --color --graph --pretty=format:'%Cred%h%Creset - %s %Cgreen(%cr) %C(bold blue)<%an>%Creset%C(auto)%d%Creset' --abbrev-commit --"     && git config --global http.sslVerify false     && git config --global pull.rebase true # buildkit
                        
# 2025-06-11 08:18:52  654.00B 复制新文件或目录到容器中
COPY --chown=root:root <<EOF /root/.tmux.conf # buildkit
                        
# 2025-06-11 08:18:52  914.00B 复制新文件或目录到容器中
COPY --chown=root:root <<EOF /root/.vimrc # buildkit
                        
# 2025-06-11 08:18:52  14.24MB 执行命令并创建新的镜像层
RUN /bin/sh -c sh -c "$(curl -fsSL https://raw.githubusercontent.com/ohmyzsh/ohmyzsh/master/tools/install.sh)" "" --unattended     && git clone https://github.com/zsh-users/zsh-autosuggestions ${ZSH_CUSTOM:-~/.oh-my-zsh/custom}/plugins/zsh-autosuggestions     && git clone https://github.com/zsh-users/zsh-syntax-highlighting.git ${ZSH_CUSTOM:-~/.oh-my-zsh/custom}/plugins/zsh-syntax-highlighting # buildkit
                        
# 2025-06-11 08:18:51  409.00B 执行命令并创建新的镜像层
RUN /bin/sh -c chmod +x /usr/local/bin/yank # buildkit
                        
# 2025-06-11 08:18:50  409.00B 复制新文件或目录到容器中
COPY --chown=root:root <<EOF /usr/local/bin/yank # buildkit
                        
# 2025-06-11 08:18:50  112.57MB 执行命令并创建新的镜像层
RUN /bin/sh -c wget https://github.com/Kitware/CMake/releases/download/v3.31.1/cmake-3.31.1-linux-x86_64.tar.gz     && tar -xzf cmake-3.31.1-linux-x86_64.tar.gz     && cp -r cmake-3.31.1-linux-x86_64/bin/* /usr/local/bin/     && cp -r cmake-3.31.1-linux-x86_64/share/* /usr/local/share/     && rm -rf cmake-3.31.1-linux-x86_64 cmake-3.31.1-linux-x86_64.tar.gz # buildkit
                        
# 2025-06-11 08:18:48  142.54MB 执行命令并创建新的镜像层
RUN /bin/sh -c curl -L https://github.com/clangd/clangd/releases/download/18.1.3/clangd-linux-18.1.3.zip -o clangd.zip     && unzip clangd.zip     && cp -r clangd_18.1.3/bin/* /usr/local/bin/     && cp -r clangd_18.1.3/lib/* /usr/local/lib/     && rm -rf clangd_18.1.3 clangd.zip # buildkit
                        
# 2025-06-11 08:18:46  4.02MB 执行命令并创建新的镜像层
RUN /bin/sh -c curl -LSso /usr/local/bin/clang-format https://github.com/muttleyxd/clang-tools-static-binaries/releases/download/master-32d3ac78/clang-format-16_linux-amd64     && chmod +x /usr/local/bin/clang-format # buildkit
                        
# 2025-06-11 08:18:45  40.93KB 执行命令并创建新的镜像层
RUN /bin/sh -c curl -LSso /usr/local/bin/diff-so-fancy https://github.com/so-fancy/diff-so-fancy/releases/download/v1.4.4/diff-so-fancy     && chmod +x /usr/local/bin/diff-so-fancy # buildkit
                        
# 2025-06-11 08:18:45  64.39MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip3 install --no-cache-dir     pytest     black     isort     icdiff     uv     pre-commit --break-system-packages # buildkit
                        
# 2025-06-11 08:18:40  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=interactive
                        
# 2025-06-11 08:18:40  273.41MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip3 install flashinfer_python==0.2.6.post1 --break-system-packages # buildkit
                        
# 2025-06-11 08:18:34  682.67MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip3 install nvidia-nccl-cu12==2.26.2.post1 --force-reinstall --no-deps --break-system-packages # buildkit
                        
# 2025-06-11 08:18:26  4.20GB 执行命令并创建新的镜像层
RUN /bin/sh -c git clone --depth=1 https://github.com/sgl-project/sglang.git     && cd sglang && pip3 install -e "python[blackwell]" --break-system-packages # buildkit
                        
# 2025-06-11 08:15:57  1.40GB 执行命令并创建新的镜像层
RUN /bin/sh -c pip3 install https://github.com/sgl-project/whl/releases/download/v0.1.7/sgl_kernel-0.1.7+cu128-cp39-abi3-manylinux2014_x86_64.whl --break-system-packages     && pip3 install setuptools==75.0.0 wheel scikit-build-core --break-system-packages # buildkit
                        
# 2025-06-11 08:15:44  10.70GB 执行命令并创建新的镜像层
RUN /bin/sh -c pip3 install torch==2.7.1 torchvision==0.22.1 torchaudio==2.7.1 --index-url https://download.pytorch.org/whl/cu128 --break-system-packages # buildkit
                        
# 2025-06-11 08:13:58  252.09MB 执行命令并创建新的镜像层
RUN /bin/sh -c echo 'tzdata tzdata/Areas select America' | debconf-set-selections     && echo 'tzdata tzdata/Zones/America select Los_Angeles' | debconf-set-selections     && apt update -y     && apt install software-properties-common -y     && apt install python3 python3-pip -y     && apt install curl git sudo libibverbs-dev -y     && apt install rdma-core infiniband-diags openssh-server perftest -y     && apt install lsof  zsh ccache tmux htop git-lfs tree -y     && python3 --version     && python3 -m pip --version     && rm -rf /var/lib/apt/lists/*     && apt clean # buildkit
                        
# 2025-06-11 08:13:16  0.00B 设置工作目录为/sgl-workspace
WORKDIR /sgl-workspace
                        
# 2025-06-11 08:13:16  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2025-05-22 08:29:54  106.00B 执行命令并创建新的镜像层
RUN |2 NVIDIA_TRITON_SERVER_BASE_VERSION=25.05 NVIDIA_BUILD_ID=170551369 /bin/sh -c sed 's/Server/Server Base/' /opt/nvidia/entrypoint.d/10-banner.txt |     sed 's/^===/========/' > /opt/nvidia/entrypoint.d/10-banner.new &&     mv /opt/nvidia/entrypoint.d/10-banner.new /opt/nvidia/entrypoint.d/10-banner.txt # buildkit
                        
# 2025-05-22 08:29:54  733.00B 复制新文件或目录到容器中
COPY docker/entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2025-05-22 08:29:54  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=Triton Server Base
                        
# 2025-05-22 08:29:54  0.00B 设置环境变量 NVIDIA_BUILD_ID
ENV NVIDIA_BUILD_ID=170551369
                        
# 2025-05-22 08:29:54  0.00B 设置环境变量 NVIDIA_TRITON_SERVER_BASE_VERSION
ENV NVIDIA_TRITON_SERVER_BASE_VERSION=25.05
                        
# 2025-05-22 08:29:54  0.00B 定义构建参数
ARG NVIDIA_BUILD_ID=170551369
                        
# 2025-05-22 08:29:54  0.00B 定义构建参数
ARG NVIDIA_TRITON_SERVER_BASE_VERSION=25.05
                        
# 2025-05-15 09:01:15  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs:
                        
# 2025-05-15 09:01:15  1.02GB 执行命令并创建新的镜像层
RUN /bin/sh -c export DEVEL=1 BASE=0  && /nvidia/build-scripts/installNCU.sh  && /nvidia/build-scripts/installCUDA.sh  && /nvidia/build-scripts/installLIBS.sh  && if [ ! -f /etc/ld.so.conf.d/nvidia-tegra.conf ]; then /nvidia/build-scripts/installNCCL.sh; fi  && /nvidia/build-scripts/installCUDNN.sh  && /nvidia/build-scripts/installTRT.sh  && /nvidia/build-scripts/installNSYS.sh  && /nvidia/build-scripts/installCUSPARSELT.sh  && if [ -f "/tmp/cuda-${_CUDA_VERSION_MAJMIN}.patch" ]; then patch -p0 < /tmp/cuda-${_CUDA_VERSION_MAJMIN}.patch; fi  && rm -f /tmp/cuda-*.patch # buildkit
                        
# 2025-05-15 08:58:46  1.49KB 复制新文件或目录到容器中
COPY cuda-*.patch /tmp # buildkit
                        
# 2025-05-15 08:58:46  99.02MB 执行命令并创建新的镜像层
RUN /bin/sh -c export DEBIAN_FRONTEND=noninteractive  && apt-get update  && apt-get install -y --no-install-recommends         build-essential         git         libglib2.0-0         less         libhwloc15         libnl-route-3-200         libnl-3-dev         libnl-route-3-dev         libnuma-dev         libnuma1         libpmi2-0-dev         nano         numactl         openssh-client         vim         wget  && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-05-15 08:37:55  0.00B 添加元数据标签
LABEL com.nvidia.nccl.version=2.26.5 com.nvidia.cublas.version=12.9.0.13 com.nvidia.cufft.version=11.4.0.6 com.nvidia.curand.version=10.3.10.19 com.nvidia.cusparse.version=12.5.9.5 com.nvidia.cusparselt.version=0.7.1.0 com.nvidia.cusolver.version=11.7.4.40 com.nvidia.npp.version=12.4.0.27 com.nvidia.nvjpeg.version=12.4.0.16 com.nvidia.cublasmp.version=0.4.0.789 com.nvidia.cal.version=0.4.4.50 com.nvidia.cudnn.version=9.10.1.4 com.nvidia.tensorrt.version=10.10.0.31 com.nvidia.tensorrtoss.version= com.nvidia.nsightsystems.version=2025.3.1.90 com.nvidia.nsightcompute.version=2025.2.0.11
                        
# 2025-05-15 08:37:55  7.84GB 执行命令并创建新的镜像层
RUN /bin/sh -c /nvidia/build-scripts/installLIBS.sh  && /nvidia/build-scripts/installCUDNN.sh  && /nvidia/build-scripts/installTRT.sh  && /nvidia/build-scripts/installNSYS.sh  && /nvidia/build-scripts/installNCU.sh  && /nvidia/build-scripts/installCUSPARSELT.sh  && if [ -z "${JETPACK_HOST_MOUNTS}" ]; then       /nvidia/build-scripts/installNCCL.sh;     fi; # buildkit
                        
# 2025-05-15 08:36:58  584.70MB 执行命令并创建新的镜像层
RUN /bin/sh -c /nvidia/build-scripts/installCUDA.sh # buildkit
                        
# 2025-05-15 08:36:49  302.31MB 执行命令并创建新的镜像层
RUN /bin/sh -c export DEBIAN_FRONTEND=noninteractive  && apt-get update  && apt-get install -y --no-install-recommends         apt-utils         build-essential         libncurses6         libncursesw6         unzip         jq         gnupg         libtcmalloc-minimal4  && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-05-15 08:23:05  467.00B 执行命令并创建新的镜像层
RUN |40 JETPACK_HOST_MOUNTS= GDRCOPY_VERSION=2.4.4 HPCX_VERSION=2.23 RDMACORE_VERSION=50.0 MOFED_VERSION=5.4-rdmacore50.0 OPENUCX_VERSION=1.19.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.38.1 AWS_OFI_NCCL_VERSION=1.14.0 TARGETARCH=amd64 CUDA_VERSION=12.9.0.043 CUDA_DRIVER_VERSION=575.51.03 NCCL_VERSION=2.26.5 CUBLAS_VERSION=12.9.0.13 CUFFT_VERSION=11.4.0.6 CURAND_VERSION=10.3.10.19 CUSPARSE_VERSION=12.5.9.5 CUSOLVER_VERSION=11.7.4.40 NPP_VERSION=12.4.0.27 NVJPEG_VERSION=12.4.0.16 CUFILE_VERSION=1.14.0.30 NVJITLINK_VERSION=12.9.41 CUBLASMP_VERSION=0.4.0.789 CAL_VERSION=0.4.4.50 NVSHMEM_VERSION=3.2.5 CUDNN_VERSION=9.10.1.4 CUDNN_FRONTEND_VERSION=1.11.0 TRT_VERSION=10.10.0.31 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2025.3.1.90 NSIGHT_COMPUTE_VERSION=2025.2.0.11 CUSPARSELT_VERSION=0.7.1.0 DALI_VERSION=1.49.0 DALI_BUILD= DALI_URL_SUFFIX=120 POLYGRAPHY_VERSION=0.49.20 TRANSFORMER_ENGINE_VERSION=2.3 MODEL_OPT_VERSION=0.27.1 CUDA_ARCH_LIST=7.5 8.0 8.6 9.0 10.0 12.0 _LIBPATH_SUFFIX= /bin/sh -c mkdir -p /workspace && cp -f -p /opt/nvidia/entrypoint.d/30-container-license.txt /workspace/license.txt # buildkit
                        
# 2025-05-15 08:23:05  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2025-05-15 08:23:05  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2025-05-15 08:23:05  16.23KB 复制新文件或目录到容器中
COPY entrypoint/ /opt/nvidia/ # buildkit
                        
# 2025-05-15 08:23:05  21.81KB 执行命令并创建新的镜像层
RUN |40 JETPACK_HOST_MOUNTS= GDRCOPY_VERSION=2.4.4 HPCX_VERSION=2.23 RDMACORE_VERSION=50.0 MOFED_VERSION=5.4-rdmacore50.0 OPENUCX_VERSION=1.19.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.38.1 AWS_OFI_NCCL_VERSION=1.14.0 TARGETARCH=amd64 CUDA_VERSION=12.9.0.043 CUDA_DRIVER_VERSION=575.51.03 NCCL_VERSION=2.26.5 CUBLAS_VERSION=12.9.0.13 CUFFT_VERSION=11.4.0.6 CURAND_VERSION=10.3.10.19 CUSPARSE_VERSION=12.5.9.5 CUSOLVER_VERSION=11.7.4.40 NPP_VERSION=12.4.0.27 NVJPEG_VERSION=12.4.0.16 CUFILE_VERSION=1.14.0.30 NVJITLINK_VERSION=12.9.41 CUBLASMP_VERSION=0.4.0.789 CAL_VERSION=0.4.4.50 NVSHMEM_VERSION=3.2.5 CUDNN_VERSION=9.10.1.4 CUDNN_FRONTEND_VERSION=1.11.0 TRT_VERSION=10.10.0.31 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2025.3.1.90 NSIGHT_COMPUTE_VERSION=2025.2.0.11 CUSPARSELT_VERSION=0.7.1.0 DALI_VERSION=1.49.0 DALI_BUILD= DALI_URL_SUFFIX=120 POLYGRAPHY_VERSION=0.49.20 TRANSFORMER_ENGINE_VERSION=2.3 MODEL_OPT_VERSION=0.27.1 CUDA_ARCH_LIST=7.5 8.0 8.6 9.0 10.0 12.0 _LIBPATH_SUFFIX= /bin/sh -c if [ ! -f /etc/ld.so.conf.d/nvidia-tegra.conf ]; then            echo "/opt/amazon/aws-ofi-nccl/lib" > /etc/ld.so.conf.d/aws-ofi-nccl.conf       && ldconfig;                                                 fi # buildkit
                        
# 2025-05-15 08:23:05  5.13MB 复制新文件或目录到容器中
COPY /opt/amazon/aws-ofi-nccl /opt/amazon/aws-ofi-nccl # buildkit
                        
# 2025-05-15 08:22:44  0.00B 设置环境变量 PATH LD_LIBRARY_PATH NVIDIA_VISIBLE_DEVICES NVIDIA_DRIVER_CAPABILITIES
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/mpi/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/amazon/efa/bin LD_LIBRARY_PATH=/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility,video
                        
# 2025-05-15 08:22:44  0.00B 定义构建参数
ARG _LIBPATH_SUFFIX=
                        
# 2025-05-15 08:22:44  46.00B 执行命令并创建新的镜像层
RUN |39 JETPACK_HOST_MOUNTS= GDRCOPY_VERSION=2.4.4 HPCX_VERSION=2.23 RDMACORE_VERSION=50.0 MOFED_VERSION=5.4-rdmacore50.0 OPENUCX_VERSION=1.19.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.38.1 AWS_OFI_NCCL_VERSION=1.14.0 TARGETARCH=amd64 CUDA_VERSION=12.9.0.043 CUDA_DRIVER_VERSION=575.51.03 NCCL_VERSION=2.26.5 CUBLAS_VERSION=12.9.0.13 CUFFT_VERSION=11.4.0.6 CURAND_VERSION=10.3.10.19 CUSPARSE_VERSION=12.5.9.5 CUSOLVER_VERSION=11.7.4.40 NPP_VERSION=12.4.0.27 NVJPEG_VERSION=12.4.0.16 CUFILE_VERSION=1.14.0.30 NVJITLINK_VERSION=12.9.41 CUBLASMP_VERSION=0.4.0.789 CAL_VERSION=0.4.4.50 NVSHMEM_VERSION=3.2.5 CUDNN_VERSION=9.10.1.4 CUDNN_FRONTEND_VERSION=1.11.0 TRT_VERSION=10.10.0.31 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2025.3.1.90 NSIGHT_COMPUTE_VERSION=2025.2.0.11 CUSPARSELT_VERSION=0.7.1.0 DALI_VERSION=1.49.0 DALI_BUILD= DALI_URL_SUFFIX=120 POLYGRAPHY_VERSION=0.49.20 TRANSFORMER_ENGINE_VERSION=2.3 MODEL_OPT_VERSION=0.27.1 CUDA_ARCH_LIST=7.5 8.0 8.6 9.0 10.0 12.0 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf  && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
                        
# 2025-05-15 08:22:44  13.39KB 复制文件或目录到容器中
ADD docs.tgz / # buildkit
                        
# 2025-05-15 08:22:44  0.00B 设置环境变量 NCCL_VERSION CUBLAS_VERSION CUFFT_VERSION CURAND_VERSION CUSPARSE_VERSION CUSPARSELT_VERSION CUSOLVER_VERSION NPP_VERSION NVJPEG_VERSION CUFILE_VERSION NVJITLINK_VERSION CUBLASMP_VERSION CAL_VERSION NVSHMEM_VERSION CUDNN_VERSION CUDNN_FRONTEND_VERSION TRT_VERSION TRTOSS_VERSION NSIGHT_SYSTEMS_VERSION NSIGHT_COMPUTE_VERSION DALI_VERSION DALI_BUILD DALI_URL_SUFFIX POLYGRAPHY_VERSION TRANSFORMER_ENGINE_VERSION MODEL_OPT_VERSION CUDA_ARCH_LIST
ENV NCCL_VERSION=2.26.5 CUBLAS_VERSION=12.9.0.13 CUFFT_VERSION=11.4.0.6 CURAND_VERSION=10.3.10.19 CUSPARSE_VERSION=12.5.9.5 CUSPARSELT_VERSION=0.7.1.0 CUSOLVER_VERSION=11.7.4.40 NPP_VERSION=12.4.0.27 NVJPEG_VERSION=12.4.0.16 CUFILE_VERSION=1.14.0.30 NVJITLINK_VERSION=12.9.41 CUBLASMP_VERSION=0.4.0.789 CAL_VERSION=0.4.4.50 NVSHMEM_VERSION=3.2.5 CUDNN_VERSION=9.10.1.4 CUDNN_FRONTEND_VERSION=1.11.0 TRT_VERSION=10.10.0.31 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2025.3.1.90 NSIGHT_COMPUTE_VERSION=2025.2.0.11 DALI_VERSION=1.49.0 DALI_BUILD= DALI_URL_SUFFIX=120 POLYGRAPHY_VERSION=0.49.20 TRANSFORMER_ENGINE_VERSION=2.3 MODEL_OPT_VERSION=0.27.1 CUDA_ARCH_LIST=7.5 8.0 8.6 9.0 10.0 12.0
                        
# 2025-05-15 08:22:44  0.00B 定义构建参数
ARG NCCL_VERSION=2.26.5 CUBLAS_VERSION=12.9.0.13 CUFFT_VERSION=11.4.0.6 CURAND_VERSION=10.3.10.19 CUSPARSE_VERSION=12.5.9.5 CUSOLVER_VERSION=11.7.4.40 NPP_VERSION=12.4.0.27 NVJPEG_VERSION=12.4.0.16 CUFILE_VERSION=1.14.0.30 NVJITLINK_VERSION=12.9.41 CUBLASMP_VERSION=0.4.0.789 CAL_VERSION=0.4.4.50 NVSHMEM_VERSION=3.2.5 CUDNN_VERSION=9.10.1.4 CUDNN_FRONTEND_VERSION=1.11.0 TRT_VERSION=10.10.0.31 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2025.3.1.90 NSIGHT_COMPUTE_VERSION=2025.2.0.11 CUSPARSELT_VERSION=0.7.1.0 DALI_VERSION=1.49.0 DALI_BUILD= DALI_URL_SUFFIX=120 POLYGRAPHY_VERSION=0.49.20 TRANSFORMER_ENGINE_VERSION=2.3 MODEL_OPT_VERSION=0.27.1 CUDA_ARCH_LIST=7.5 8.0 8.6 9.0 10.0 12.0
                        
# 2025-05-15 08:22:44  0.00B 添加元数据标签
LABEL com.nvidia.volumes.needed=nvidia_driver com.nvidia.cuda.version=9.0
                        
# 2025-05-15 08:22:44  0.00B 设置环境变量 _CUDA_COMPAT_PATH ENV BASH_ENV SHELL NVIDIA_REQUIRE_CUDA
ENV _CUDA_COMPAT_PATH=/usr/local/cuda/compat ENV=/etc/shinit_v2 BASH_ENV=/etc/bash.bashrc SHELL=/bin/bash NVIDIA_REQUIRE_CUDA=cuda>=9.0
                        
# 2025-05-15 08:22:44  68.28KB 执行命令并创建新的镜像层
RUN |12 JETPACK_HOST_MOUNTS= GDRCOPY_VERSION=2.4.4 HPCX_VERSION=2.23 RDMACORE_VERSION=50.0 MOFED_VERSION=5.4-rdmacore50.0 OPENUCX_VERSION=1.19.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.38.1 AWS_OFI_NCCL_VERSION=1.14.0 TARGETARCH=amd64 CUDA_VERSION=12.9.0.043 CUDA_DRIVER_VERSION=575.51.03 /bin/sh -c cp -vprd /nvidia/. /  &&  patch -p0 < /etc/startup_scripts.patch  &&  rm -f /etc/startup_scripts.patch # buildkit
                        
# 2025-05-15 08:22:44  290.43MB 执行命令并创建新的镜像层
RUN |12 JETPACK_HOST_MOUNTS= GDRCOPY_VERSION=2.4.4 HPCX_VERSION=2.23 RDMACORE_VERSION=50.0 MOFED_VERSION=5.4-rdmacore50.0 OPENUCX_VERSION=1.19.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.38.1 AWS_OFI_NCCL_VERSION=1.14.0 TARGETARCH=amd64 CUDA_VERSION=12.9.0.043 CUDA_DRIVER_VERSION=575.51.03 /bin/sh -c BASE=min /nvidia/build-scripts/installCUDA.sh # buildkit
                        
# 2025-05-15 07:04:54  0.00B 设置环境变量 CUDA_VERSION CUDA_DRIVER_VERSION
ENV CUDA_VERSION=12.9.0.043 CUDA_DRIVER_VERSION=575.51.03
                        
# 2025-05-15 07:04:54  0.00B 定义构建参数
ARG CUDA_DRIVER_VERSION=575.51.03
                        
# 2025-05-15 07:04:54  0.00B 定义构建参数
ARG CUDA_VERSION=12.9.0.043
                        
# 2025-05-15 07:04:54  0.00B 设置环境变量 OMPI_MCA_coll_hcoll_enable
ENV OMPI_MCA_coll_hcoll_enable=0
                        
# 2025-05-15 07:04:54  0.00B 设置环境变量 OPAL_PREFIX PATH
ENV OPAL_PREFIX=/opt/hpcx/ompi PATH=/usr/local/mpi/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/amazon/efa/bin
                        
# 2025-05-15 07:04:54  230.97MB 执行命令并创建新的镜像层
RUN |10 JETPACK_HOST_MOUNTS= GDRCOPY_VERSION=2.4.4 HPCX_VERSION=2.23 RDMACORE_VERSION=50.0 MOFED_VERSION=5.4-rdmacore50.0 OPENUCX_VERSION=1.19.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.38.1 AWS_OFI_NCCL_VERSION=1.14.0 TARGETARCH=amd64 /bin/sh -c cd /nvidia  && ( export DEBIAN_FRONTEND=noninteractive        && apt-get update                            && apt-get install -y --no-install-recommends              libibverbs1                                  libibverbs-dev                               librdmacm1                                   librdmacm-dev                                libibumad3                                   libibumad-dev                                ibverbs-utils                                ibverbs-providers                     && rm -rf /var/lib/apt/lists/*               && rm $(dpkg-query -L                                    libibverbs-dev                               librdmacm-dev                                libibumad-dev                            | grep "\(\.so\|\.a\)$")          )                                            && ( cd opt/gdrcopy/                              && dpkg -i libgdrapi_*.deb                   )                                         && ( cp -r opt/hpcx /opt/                                         && cp etc/ld.so.conf.d/hpcx.conf /etc/ld.so.conf.d/          && ln -sf /opt/hpcx/ompi /usr/local/mpi                      && ln -sf /opt/hpcx/ucx  /usr/local/ucx                      && sed -i 's/^\(hwloc_base_binding_policy\) = core$/\1 = none/' /opt/hpcx/ompi/etc/openmpi-mca-params.conf         && sed -i 's/^\(btl = self\)$/#\1/'                             /opt/hpcx/ompi/etc/openmpi-mca-params.conf       )                                                         && ( if [ ! -f /etc/ld.so.conf.d/nvidia-tegra.conf ]; then           cd opt/amazon/efa/                                           && dpkg -i libfabric*.deb                                    && rm /opt/amazon/efa/lib/libfabric.a                        && echo "/opt/amazon/efa/lib" > /etc/ld.so.conf.d/efa.conf;         fi                                                         )                                                         && ldconfig # buildkit
                        
# 2025-05-15 07:04:54  0.00B 定义构建参数
ARG TARGETARCH=amd64
                        
# 2025-05-15 07:04:54  0.00B 设置环境变量 GDRCOPY_VERSION HPCX_VERSION MOFED_VERSION OPENUCX_VERSION OPENMPI_VERSION RDMACORE_VERSION EFA_VERSION AWS_OFI_NCCL_VERSION
ENV GDRCOPY_VERSION=2.4.4 HPCX_VERSION=2.23 MOFED_VERSION=5.4-rdmacore50.0 OPENUCX_VERSION=1.19.0 OPENMPI_VERSION=4.1.7 RDMACORE_VERSION=50.0 EFA_VERSION=1.38.1 AWS_OFI_NCCL_VERSION=1.14.0
                        
# 2025-05-15 07:04:54  0.00B 定义构建参数
ARG AWS_OFI_NCCL_VERSION=1.14.0
                        
# 2025-05-15 07:04:54  0.00B 定义构建参数
ARG EFA_VERSION=1.38.1
                        
# 2025-05-15 07:04:54  0.00B 定义构建参数
ARG OPENMPI_VERSION=4.1.7
                        
# 2025-05-15 07:04:54  0.00B 定义构建参数
ARG OPENUCX_VERSION=1.19.0
                        
# 2025-05-15 07:04:54  0.00B 定义构建参数
ARG MOFED_VERSION=5.4-rdmacore50.0
                        
# 2025-05-15 07:04:54  0.00B 定义构建参数
ARG RDMACORE_VERSION=50.0
                        
# 2025-05-15 07:04:54  0.00B 定义构建参数
ARG HPCX_VERSION=2.23
                        
# 2025-05-15 07:04:54  0.00B 定义构建参数
ARG GDRCOPY_VERSION=2.4.4
                        
# 2025-05-15 07:04:54  9.25MB 执行命令并创建新的镜像层
RUN |1 JETPACK_HOST_MOUNTS= /bin/sh -c export DEBIAN_FRONTEND=noninteractive  && apt-get update  && apt-get install -y --no-install-recommends         ca-certificates         curl         patch         wget  && rm -rf /var/lib/apt/lists/*  && echo "hsts=0" > /root/.wgetrc # buildkit
                        
# 2025-05-15 07:04:54  0.00B 执行命令并创建新的镜像层
RUN |1 JETPACK_HOST_MOUNTS= /bin/sh -c if [ -n "${JETPACK_HOST_MOUNTS}" ]; then        echo "/usr/lib/aarch64-linux-gnu/tegra" > /etc/ld.so.conf.d/nvidia-tegra.conf     && echo "/usr/lib/aarch64-linux-gnu/tegra-egl" >> /etc/ld.so.conf.d/nvidia-tegra.conf;     fi # buildkit
                        
# 2025-05-15 07:04:54  0.00B 设置环境变量 NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS
ENV NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS=
                        
# 2025-05-15 07:04:54  0.00B 定义构建参数
ARG JETPACK_HOST_MOUNTS=
                        
# 2025-04-28 17:44:51  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-04-28 17:44:50  78.10MB 
/bin/sh -c #(nop) ADD file:ad85a9d7b0a74c2140bd51d9c4559cca392991e0c95f84cb139347348e5d1f9a in / 
                        
# 2025-04-28 17:44:48  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=24.04
                        
# 2025-04-28 17:44:48  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2025-04-28 17:44:48  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2025-04-28 17:44:48  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

{
    "Id": "sha256:e7618fe1d3ad5f1d3466c08fb913b72cf29a4a0624bc212681c6426729812c02",
    "RepoTags": [
        "lmsysorg/sglang:blackwell",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:blackwell"
    ],
    "RepoDigests": [
        "lmsysorg/sglang@sha256:933bb8840dd1cbc309e14bc5d3e040e73b068e3324f5491ee410f5997bfe528a",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang@sha256:933bb8840dd1cbc309e14bc5d3e040e73b068e3324f5491ee410f5997bfe528a"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-06-11T00:18:52.453156238Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/mpi/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/amazon/efa/bin",
            "NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS=",
            "GDRCOPY_VERSION=2.4.4",
            "HPCX_VERSION=2.23",
            "MOFED_VERSION=5.4-rdmacore50.0",
            "OPENUCX_VERSION=1.19.0",
            "OPENMPI_VERSION=4.1.7",
            "RDMACORE_VERSION=50.0",
            "EFA_VERSION=1.38.1",
            "AWS_OFI_NCCL_VERSION=1.14.0",
            "OPAL_PREFIX=/opt/hpcx/ompi",
            "OMPI_MCA_coll_hcoll_enable=0",
            "CUDA_VERSION=12.9.0.043",
            "CUDA_DRIVER_VERSION=575.51.03",
            "_CUDA_COMPAT_PATH=/usr/local/cuda/compat",
            "ENV=/etc/shinit_v2",
            "BASH_ENV=/etc/bash.bashrc",
            "SHELL=/bin/bash",
            "NVIDIA_REQUIRE_CUDA=cuda\u003e=9.0",
            "NCCL_VERSION=2.26.5",
            "CUBLAS_VERSION=12.9.0.13",
            "CUFFT_VERSION=11.4.0.6",
            "CURAND_VERSION=10.3.10.19",
            "CUSPARSE_VERSION=12.5.9.5",
            "CUSPARSELT_VERSION=0.7.1.0",
            "CUSOLVER_VERSION=11.7.4.40",
            "NPP_VERSION=12.4.0.27",
            "NVJPEG_VERSION=12.4.0.16",
            "CUFILE_VERSION=1.14.0.30",
            "NVJITLINK_VERSION=12.9.41",
            "CUBLASMP_VERSION=0.4.0.789",
            "CAL_VERSION=0.4.4.50",
            "NVSHMEM_VERSION=3.2.5",
            "CUDNN_VERSION=9.10.1.4",
            "CUDNN_FRONTEND_VERSION=1.11.0",
            "TRT_VERSION=10.10.0.31",
            "TRTOSS_VERSION=",
            "NSIGHT_SYSTEMS_VERSION=2025.3.1.90",
            "NSIGHT_COMPUTE_VERSION=2025.2.0.11",
            "DALI_VERSION=1.49.0",
            "DALI_BUILD=",
            "DALI_URL_SUFFIX=120",
            "POLYGRAPHY_VERSION=0.49.20",
            "TRANSFORMER_ENGINE_VERSION=2.3",
            "MODEL_OPT_VERSION=0.27.1",
            "CUDA_ARCH_LIST=7.5 8.0 8.6 9.0 10.0 12.0",
            "LD_LIBRARY_PATH=/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility,video",
            "NVIDIA_PRODUCT_NAME=Triton Server Base",
            "LIBRARY_PATH=/usr/local/cuda/lib64/stubs:",
            "NVIDIA_TRITON_SERVER_BASE_VERSION=25.05",
            "NVIDIA_BUILD_ID=170551369",
            "DEBIAN_FRONTEND=interactive"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/sgl-workspace/sglang",
        "Entrypoint": [
            "/opt/nvidia/nvidia_entrypoint.sh"
        ],
        "OnBuild": null,
        "Labels": {
            "com.nvidia.cal.version": "0.4.4.50",
            "com.nvidia.cublas.version": "12.9.0.13",
            "com.nvidia.cublasmp.version": "0.4.0.789",
            "com.nvidia.cuda.version": "9.0",
            "com.nvidia.cudnn.version": "9.10.1.4",
            "com.nvidia.cufft.version": "11.4.0.6",
            "com.nvidia.curand.version": "10.3.10.19",
            "com.nvidia.cusolver.version": "11.7.4.40",
            "com.nvidia.cusparse.version": "12.5.9.5",
            "com.nvidia.cusparselt.version": "0.7.1.0",
            "com.nvidia.nccl.version": "2.26.5",
            "com.nvidia.npp.version": "12.4.0.27",
            "com.nvidia.nsightcompute.version": "2025.2.0.11",
            "com.nvidia.nsightsystems.version": "2025.3.1.90",
            "com.nvidia.nvjpeg.version": "12.4.0.16",
            "com.nvidia.tensorrt.version": "10.10.0.31",
            "com.nvidia.tensorrtoss.version": "",
            "com.nvidia.volumes.needed": "nvidia_driver",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "24.04"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 28293768703,
    "GraphDriver": {
        "Data": {
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            "UpperDir": "/var/lib/docker/overlay2/18197719bf5d67872043197118cc5f8c9e5f706e50879a2cf5f98c4d912f19aa/diff",
            "WorkDir": "/var/lib/docker/overlay2/18197719bf5d67872043197118cc5f8c9e5f706e50879a2cf5f98c4d912f19aa/work"
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        "Name": "overlay2"
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    "RootFS": {
        "Type": "layers",
        "Layers": [
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