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

docker.io/lmsysorg/sglang:deepep - 国内下载镜像源 浏览次数:101
sglang 是一个基于 LMSYS 的 Shell Grammar Language 环境容器镜像。
源镜像 docker.io/lmsysorg/sglang:deepep
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:deepep
镜像ID sha256:ecaf0a75fcf56ae11bcc04aa06886c38c25ce5874aabb5c63c7e79bced722ddb
镜像TAG deepep
大小 16.69GB
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
OS/平台 linux/amd64
浏览量 101 次
贡献者
镜像创建 2025-05-26T00:37:20.550694092Z
同步时间 2025-05-27 06:52
更新时间 2025-06-19 22:55
环境变量
PATH=/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin CUDA_VERSION=12.4.1.003 CUDA_DRIVER_VERSION=550.54.15 CUDA_CACHE_DISABLE=1 NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS= _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 NCCL_VERSION=2.21.5 CUBLAS_VERSION=12.4.5.8 CUFFT_VERSION=11.2.1.3 CURAND_VERSION=10.3.5.147 CUSPARSE_VERSION=12.3.1.170 CUSOLVER_VERSION=11.6.1.9 CUTENSOR_VERSION=2.0.1.2 NPP_VERSION=12.2.5.30 NVJPEG_VERSION=12.3.1.117 CUDNN_VERSION=9.1.0.70 TRT_VERSION=8.6.3.1+cuda12.2.2.009 TRTOSS_VERSION=23.11 NSIGHT_SYSTEMS_VERSION=2024.2.1.106 NSIGHT_COMPUTE_VERSION=2024.1.1.4 DALI_VERSION=1.36.0 DALI_BUILD=13435171 POLYGRAPHY_VERSION=0.49.8 TRANSFORMER_ENGINE_VERSION=1.5 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 GDRCOPY_VERSION=2.3.1-1 HPCX_VERSION=2.18 MOFED_VERSION=5.4-rdmacore39.0 OPENUCX_VERSION=1.16.0 OPENMPI_VERSION=4.1.7 RDMACORE_VERSION=39.0 OPAL_PREFIX=/opt/hpcx/ompi OMPI_MCA_coll_hcoll_enable=0 LIBRARY_PATH=/usr/local/cuda/lib64/stubs: NVIDIA_TRITON_SERVER_BASE_VERSION=24.04 NVIDIA_BUILD_ID=90085237 DEBIAN_FRONTEND=interactive GDRCOPY_HOME=/usr/src/gdrdrv-2.4.4/ CUDA_HOME=/usr/local/cuda NVSHMEM_DIR=/sgl-workspace/nvshmem/install
镜像标签
12.4.5.8: com.nvidia.cublas.version 9.0: com.nvidia.cuda.version 9.1.0.70: com.nvidia.cudnn.version 11.2.1.3: com.nvidia.cufft.version 10.3.5.147: com.nvidia.curand.version 11.6.1.9: com.nvidia.cusolver.version 12.3.1.170: com.nvidia.cusparse.version 2.0.1.2: com.nvidia.cutensor.version 2.21.5: com.nvidia.nccl.version 12.2.5.30: com.nvidia.npp.version 2024.1.1.4: com.nvidia.nsightcompute.version 2024.2.1.106: com.nvidia.nsightsystems.version 12.3.1.117: com.nvidia.nvjpeg.version 8.6.3.1+cuda12.2.2.009: com.nvidia.tensorrt.version 23.11: com.nvidia.tensorrtoss.version nvidia_driver: com.nvidia.volumes.needed ubuntu: org.opencontainers.image.ref.name 22.04: org.opencontainers.image.version

Docker拉取命令

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

Containerd拉取命令

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

Shell快速替换命令

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

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

镜像构建历史


# 2025-05-26 08:37:20  0.00B 设置工作目录为/sgl-workspace
WORKDIR /sgl-workspace
                        
# 2025-05-26 08:37:20  134.94MB 执行命令并创建新的镜像层
RUN /bin/sh -c NVSHMEM_DIR=/sgl-workspace/nvshmem/install pip install . # buildkit
                        
# 2025-05-26 08:36:16  0.00B 设置环境变量 NVSHMEM_DIR
ENV NVSHMEM_DIR=/sgl-workspace/nvshmem/install
                        
# 2025-05-26 08:36:16  0.00B 设置工作目录为/sgl-workspace/DeepEP
WORKDIR /sgl-workspace/DeepEP
                        
# 2025-05-26 08:36:16  949.49MB 执行命令并创建新的镜像层
RUN /bin/sh -c NVSHMEM_SHMEM_SUPPORT=0     NVSHMEM_UCX_SUPPORT=0     NVSHMEM_USE_NCCL=0     NVSHMEM_MPI_SUPPORT=0     NVSHMEM_IBGDA_SUPPORT=1     NVSHMEM_PMIX_SUPPORT=0     NVSHMEM_TIMEOUT_DEVICE_POLLING=0     NVSHMEM_USE_GDRCOPY=1     cmake -S . -B build/ -DCMAKE_INSTALL_PREFIX=/sgl-workspace/nvshmem/install -DCMAKE_CUDA_ARCHITECTURES=90     && cd build     && make install -j # buildkit
                        
# 2025-05-26 08:22:30  0.00B 设置环境变量 CUDA_HOME
ENV CUDA_HOME=/usr/local/cuda
                        
# 2025-05-26 08:22:30  0.00B 设置工作目录为/sgl-workspace/nvshmem
WORKDIR /sgl-workspace/nvshmem
                        
# 2025-05-26 08:22:30  183.40KB 执行命令并创建新的镜像层
RUN /bin/sh -c git apply /sgl-workspace/DeepEP/third-party/nvshmem.patch # buildkit
                        
# 2025-05-26 08:22:30  0.00B 设置工作目录为/sgl-workspace/nvshmem
WORKDIR /sgl-workspace/nvshmem
                        
# 2025-05-26 08:22:30  3.50MB 执行命令并创建新的镜像层
RUN /bin/sh -c tar -xf nvshmem_src_3.2.5-1.txz     && mv nvshmem_src nvshmem # buildkit
                        
# 2025-05-26 08:22:30  618.17KB 执行命令并创建新的镜像层
RUN /bin/sh -c wget https://developer.download.nvidia.com/compute/redist/nvshmem/3.2.5/source/nvshmem_src_3.2.5-1.txz # buildkit
                        
# 2025-05-26 08:22:30  0.00B 设置工作目录为/sgl-workspace
WORKDIR /sgl-workspace
                        
# 2025-05-26 08:22:30  3.73MB 执行命令并创建新的镜像层
RUN /bin/sh -c git clone https://github.com/deepseek-ai/DeepEP.git # buildkit
                        
# 2025-05-26 08:22:29  0.00B 设置工作目录为/sgl-workspace
WORKDIR /sgl-workspace
                        
# 2025-05-26 08:22:29  7.33MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get install -y libfabric-dev # buildkit
                        
# 2025-05-26 08:22:26  38.00B 执行命令并创建新的镜像层
RUN /bin/sh -c ln -s /usr/lib/x86_64-linux-gnu/libmlx5.so.1 /usr/lib/x86_64-linux-gnu/libmlx5.so # buildkit
                        
# 2025-05-26 08:22:26  0.00B 设置环境变量 GDRCOPY_HOME
ENV GDRCOPY_HOME=/usr/src/gdrdrv-2.4.4/
                        
# 2025-05-26 08:22:25  1.72MB 执行命令并创建新的镜像层
RUN /bin/sh -c dpkg -i gdrcopy_*.deb # buildkit
                        
# 2025-05-26 08:22:25  2.65MB 执行命令并创建新的镜像层
RUN /bin/sh -c dpkg -i gdrcopy-tests_*.deb # buildkit
                        
# 2025-05-26 08:22:25  1.79MB 执行命令并创建新的镜像层
RUN /bin/sh -c dpkg -i libgdrapi_*.deb # buildkit
                        
# 2025-05-26 08:22:25  1.87MB 执行命令并创建新的镜像层
RUN /bin/sh -c dpkg -i gdrdrv-dkms_*.deb # buildkit
                        
# 2025-05-26 08:22:18  461.82KB 执行命令并创建新的镜像层
RUN /bin/sh -c CUDA=/usr/local/cuda ./build-deb-packages.sh # buildkit
                        
# 2025-05-26 08:21:47  0.00B 设置工作目录为/tmp/gdrcopy/packages
WORKDIR /tmp/gdrcopy/packages
                        
# 2025-05-26 08:21:47  2.37MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt install -y check libsubunit0 libsubunit-dev # buildkit
                        
# 2025-05-26 08:21:44  59.75MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt install -y build-essential devscripts debhelper fakeroot pkg-config dkms # buildkit
                        
# 2025-05-26 08:21:23  510.33MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt install -y nvidia-dkms-535 # buildkit
                        
# 2025-05-26 08:19:42  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c apt update # buildkit
                        
# 2025-05-26 08:19:41  285.47KB 执行命令并创建新的镜像层
RUN /bin/sh -c git checkout v2.4.4 # buildkit
                        
# 2025-05-26 08:19:40  0.00B 设置工作目录为/tmp/gdrcopy
WORKDIR /tmp/gdrcopy
                        
# 2025-05-26 08:19:40  1.44MB 执行命令并创建新的镜像层
RUN /bin/sh -c git clone https://github.com/NVIDIA/gdrcopy.git # buildkit
                        
# 2025-05-26 08:19:40  0.00B 设置工作目录为/tmp
WORKDIR /tmp
                        
# 2025-05-26 08:19:40  16.00B 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update     && apt-get install -y --no-install-recommends         python3         python3-pip     && ln -s /usr/bin/python3 /usr/bin/python # buildkit
                        
# 2025-05-26 08:19:37  231.35MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get install -y --no-install-recommends build-essential wget libssl-dev && wget https://github.com/Kitware/CMake/releases/download/v3.27.4/cmake-3.27.4-linux-x86_64.sh && chmod +x cmake-3.27.4-linux-x86_64.sh && ./cmake-3.27.4-linux-x86_64.sh --skip-license --prefix=/usr/local && rm cmake-3.27.4-linux-x86_64.sh # buildkit
                        
# 2025-05-24 15:51:48  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=interactive
                        
# 2025-05-24 15:51:48  7.86GB 执行命令并创建新的镜像层
RUN |2 BUILD_TYPE=all CUDA_VERSION=12.4.1 /bin/sh -c python3 -m pip install --upgrade pip setuptools wheel html5lib six     && git clone --depth=1 https://github.com/sgl-project/sglang.git     && if [ "$CUDA_VERSION" = "12.1.1" ]; then          export CUINDEX=121;        elif [ "$CUDA_VERSION" = "12.4.1" ]; then          export CUINDEX=124;        elif [ "$CUDA_VERSION" = "12.8.1" ]; then          export CUINDEX=124;        elif [ "$CUDA_VERSION" = "11.8.0" ]; then          export CUINDEX=118;          python3 -m pip install --no-cache-dir sgl-kernel -i https://docs.sglang.ai/whl/cu118;        else          echo "Unsupported CUDA version: $CUDA_VERSION" && exit 1;        fi     && python3 -m pip install --no-cache-dir torch --index-url https://download.pytorch.org/whl/cu${CUINDEX}     && cd sglang     && python3 -m pip --no-cache-dir install -e "python[${BUILD_TYPE}]" --find-links https://flashinfer.ai/whl/cu${CUINDEX}/torch2.6/flashinfer-python     && if [ "$CUDA_VERSION" = "12.8.1" ]; then          python3 -m pip install nvidia-nccl-cu12==2.26.2.post1 --force-reinstall --no-deps;        fi # buildkit
                        
# 2025-05-24 15:49:50  0.00B 定义构建参数
ARG CUDA_VERSION=12.4.1
                        
# 2025-05-24 15:49:50  0.00B 设置工作目录为/sgl-workspace
WORKDIR /sgl-workspace
                        
# 2025-05-24 15:49:50  29.22MB 执行命令并创建新的镜像层
RUN |1 BUILD_TYPE=all /bin/sh -c pip3 install datamodel_code_generator # buildkit
                        
# 2025-05-24 15:49:45  213.05MB 执行命令并创建新的镜像层
RUN |1 BUILD_TYPE=all /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     && python3 --version     && python3 -m pip --version     && rm -rf /var/lib/apt/lists/*     && apt clean # buildkit
                        
# 2025-05-24 15:49:45  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2025-05-24 15:49:45  0.00B 定义构建参数
ARG BUILD_TYPE=all
                        
# 2024-04-23 12:12:10  106.00B 执行命令并创建新的镜像层
RUN |2 NVIDIA_TRITON_SERVER_BASE_VERSION=24.04 NVIDIA_BUILD_ID=90085237 /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
                        
# 2024-04-23 12:12:09  733.00B 复制新文件或目录到容器中
COPY docker/entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2024-04-23 12:12:09  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=Triton Server Base
                        
# 2024-04-23 12:12:09  0.00B 设置环境变量 NVIDIA_BUILD_ID
ENV NVIDIA_BUILD_ID=90085237
                        
# 2024-04-23 12:12:09  0.00B 设置环境变量 NVIDIA_TRITON_SERVER_BASE_VERSION
ENV NVIDIA_TRITON_SERVER_BASE_VERSION=24.04
                        
# 2024-04-23 12:12:09  0.00B 定义构建参数
ARG NVIDIA_BUILD_ID
                        
# 2024-04-23 12:12:09  0.00B 定义构建参数
ARG NVIDIA_TRITON_SERVER_BASE_VERSION
                        
# 2024-04-03 09:56:12  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs:
                        
# 2024-04-03 09:56:12  950.50MB 执行命令并创建新的镜像层
RUN |7 GDRCOPY_VERSION=2.3.1-1 HPCX_VERSION=2.18 RDMACORE_VERSION=39.0 MOFED_VERSION=5.4-rdmacore39.0 OPENUCX_VERSION=1.16.0 OPENMPI_VERSION=4.1.7 TARGETARCH=amd64 /bin/sh -c export DEVEL=1 BASE=0  && /nvidia/build-scripts/installNCU.sh  && /nvidia/build-scripts/installCUDA.sh  && /nvidia/build-scripts/installLIBS.sh  && /nvidia/build-scripts/installNCCL.sh  && /nvidia/build-scripts/installCUDNN.sh  && /nvidia/build-scripts/installCUTENSOR.sh  && /nvidia/build-scripts/installTRT.sh  && /nvidia/build-scripts/installNSYS.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
                        
# 2024-04-03 09:51:54  1.49KB 复制新文件或目录到容器中
COPY cuda-*.patch /tmp # buildkit
                        
# 2024-04-03 09:51:54  0.00B 设置环境变量 OMPI_MCA_coll_hcoll_enable
ENV OMPI_MCA_coll_hcoll_enable=0
                        
# 2024-04-03 09:51:54  0.00B 设置环境变量 OPAL_PREFIX PATH
ENV OPAL_PREFIX=/opt/hpcx/ompi PATH=/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin
                        
# 2024-04-03 09:51:54  227.13MB 执行命令并创建新的镜像层
RUN |7 GDRCOPY_VERSION=2.3.1-1 HPCX_VERSION=2.18 RDMACORE_VERSION=39.0 MOFED_VERSION=5.4-rdmacore39.0 OPENUCX_VERSION=1.16.0 OPENMPI_VERSION=4.1.7 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       )                                                         && ldconfig # buildkit
                        
# 2024-04-03 09:51:54  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-04-03 09:51:54  0.00B 设置环境变量 GDRCOPY_VERSION HPCX_VERSION MOFED_VERSION OPENUCX_VERSION OPENMPI_VERSION RDMACORE_VERSION
ENV GDRCOPY_VERSION=2.3.1-1 HPCX_VERSION=2.18 MOFED_VERSION=5.4-rdmacore39.0 OPENUCX_VERSION=1.16.0 OPENMPI_VERSION=4.1.7 RDMACORE_VERSION=39.0
                        
# 2024-04-03 09:51:54  0.00B 定义构建参数
ARG OPENMPI_VERSION
                        
# 2024-04-03 09:51:54  0.00B 定义构建参数
ARG OPENUCX_VERSION
                        
# 2024-04-03 09:51:54  0.00B 定义构建参数
ARG MOFED_VERSION=5.4-rdmacore39.0
                        
# 2024-04-03 09:51:54  0.00B 定义构建参数
ARG RDMACORE_VERSION
                        
# 2024-04-03 09:51:54  0.00B 定义构建参数
ARG HPCX_VERSION
                        
# 2024-04-03 09:51:54  0.00B 定义构建参数
ARG GDRCOPY_VERSION
                        
# 2024-04-03 09:51:44  84.87MB 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         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
                        
# 2024-04-03 09:39:21  148.72KB 复制新文件或目录到容器中
COPY NVIDIA_Deep_Learning_Container_License.pdf /workspace/ # buildkit
                        
# 2024-04-03 09:39:21  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2024-04-03 09:39:21  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2024-04-03 09:39:21  14.85KB 复制新文件或目录到容器中
COPY entrypoint/ /opt/nvidia/ # buildkit
                        
# 2024-04-03 09:39:21  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/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/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
                        
# 2024-04-03 09:39:21  0.00B 定义构建参数
ARG _LIBPATH_SUFFIX
                        
# 2024-04-03 09:39:21  46.00B 执行命令并创建新的镜像层
RUN |21 CUDA_VERSION=12.4.1.003 CUDA_DRIVER_VERSION=550.54.15 JETPACK_HOST_MOUNTS= NCCL_VERSION=2.21.5 CUBLAS_VERSION=12.4.5.8 CUFFT_VERSION=11.2.1.3 CURAND_VERSION=10.3.5.147 CUSPARSE_VERSION=12.3.1.170 CUSOLVER_VERSION=11.6.1.9 CUTENSOR_VERSION=2.0.1.2 NPP_VERSION=12.2.5.30 NVJPEG_VERSION=12.3.1.117 CUDNN_VERSION=9.1.0.70 TRT_VERSION=8.6.3.1+cuda12.2.2.009 TRTOSS_VERSION=23.11 NSIGHT_SYSTEMS_VERSION=2024.2.1.106 NSIGHT_COMPUTE_VERSION=2024.1.1.4 DALI_VERSION=1.36.0 DALI_BUILD=13435171 POLYGRAPHY_VERSION=0.49.8 TRANSFORMER_ENGINE_VERSION=1.5 /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
                        
# 2024-04-03 09:39:21  13.39KB 复制文件或目录到容器中
ADD docs.tgz / # buildkit
                        
# 2024-04-03 09:39:21  0.00B 设置环境变量 DALI_VERSION DALI_BUILD POLYGRAPHY_VERSION TRANSFORMER_ENGINE_VERSION
ENV DALI_VERSION=1.36.0 DALI_BUILD=13435171 POLYGRAPHY_VERSION=0.49.8 TRANSFORMER_ENGINE_VERSION=1.5
                        
# 2024-04-03 09:39:21  0.00B 定义构建参数
ARG TRANSFORMER_ENGINE_VERSION
                        
# 2024-04-03 09:39:21  0.00B 定义构建参数
ARG POLYGRAPHY_VERSION
                        
# 2024-04-03 09:39:21  0.00B 定义构建参数
ARG DALI_BUILD
                        
# 2024-04-03 09:39:21  0.00B 定义构建参数
ARG DALI_VERSION
                        
# 2024-04-03 09:39:21  0.00B 添加元数据标签
LABEL com.nvidia.nccl.version=2.21.5 com.nvidia.cublas.version=12.4.5.8 com.nvidia.cufft.version=11.2.1.3 com.nvidia.curand.version=10.3.5.147 com.nvidia.cusparse.version=12.3.1.170 com.nvidia.cusolver.version=11.6.1.9 com.nvidia.cutensor.version=2.0.1.2 com.nvidia.npp.version=12.2.5.30 com.nvidia.nvjpeg.version=12.3.1.117 com.nvidia.cudnn.version=9.1.0.70 com.nvidia.tensorrt.version=8.6.3.1+cuda12.2.2.009 com.nvidia.tensorrtoss.version=23.11 com.nvidia.nsightsystems.version=2024.2.1.106 com.nvidia.nsightcompute.version=2024.1.1.4
                        
# 2024-04-03 09:39:21  4.56GB 执行命令并创建新的镜像层
RUN |17 CUDA_VERSION=12.4.1.003 CUDA_DRIVER_VERSION=550.54.15 JETPACK_HOST_MOUNTS= NCCL_VERSION=2.21.5 CUBLAS_VERSION=12.4.5.8 CUFFT_VERSION=11.2.1.3 CURAND_VERSION=10.3.5.147 CUSPARSE_VERSION=12.3.1.170 CUSOLVER_VERSION=11.6.1.9 CUTENSOR_VERSION=2.0.1.2 NPP_VERSION=12.2.5.30 NVJPEG_VERSION=12.3.1.117 CUDNN_VERSION=9.1.0.70 TRT_VERSION=8.6.3.1+cuda12.2.2.009 TRTOSS_VERSION=23.11 NSIGHT_SYSTEMS_VERSION=2024.2.1.106 NSIGHT_COMPUTE_VERSION=2024.1.1.4 /bin/sh -c /nvidia/build-scripts/installNCCL.sh  && /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/installCUTENSOR.sh # buildkit
                        
# 2024-04-02 09:40:07  0.00B 设置环境变量 NCCL_VERSION CUBLAS_VERSION CUFFT_VERSION CURAND_VERSION CUSPARSE_VERSION CUSOLVER_VERSION CUTENSOR_VERSION NPP_VERSION NVJPEG_VERSION CUDNN_VERSION TRT_VERSION TRTOSS_VERSION NSIGHT_SYSTEMS_VERSION NSIGHT_COMPUTE_VERSION
ENV NCCL_VERSION=2.21.5 CUBLAS_VERSION=12.4.5.8 CUFFT_VERSION=11.2.1.3 CURAND_VERSION=10.3.5.147 CUSPARSE_VERSION=12.3.1.170 CUSOLVER_VERSION=11.6.1.9 CUTENSOR_VERSION=2.0.1.2 NPP_VERSION=12.2.5.30 NVJPEG_VERSION=12.3.1.117 CUDNN_VERSION=9.1.0.70 TRT_VERSION=8.6.3.1+cuda12.2.2.009 TRTOSS_VERSION=23.11 NSIGHT_SYSTEMS_VERSION=2024.2.1.106 NSIGHT_COMPUTE_VERSION=2024.1.1.4
                        
# 2024-04-02 09:40:07  0.00B 定义构建参数
ARG NSIGHT_COMPUTE_VERSION
                        
# 2024-04-02 09:40:07  0.00B 定义构建参数
ARG NSIGHT_SYSTEMS_VERSION
                        
# 2024-04-02 09:40:07  0.00B 定义构建参数
ARG TRTOSS_VERSION
                        
# 2024-04-02 09:40:07  0.00B 定义构建参数
ARG TRT_VERSION
                        
# 2024-04-02 09:40:07  0.00B 定义构建参数
ARG CUDNN_VERSION
                        
# 2024-04-02 09:40:07  0.00B 定义构建参数
ARG NVJPEG_VERSION
                        
# 2024-04-02 09:40:07  0.00B 定义构建参数
ARG NPP_VERSION
                        
# 2024-04-02 09:40:07  0.00B 定义构建参数
ARG CUTENSOR_VERSION
                        
# 2024-04-02 09:40:07  0.00B 定义构建参数
ARG CUSOLVER_VERSION
                        
# 2024-04-02 09:40:07  0.00B 定义构建参数
ARG CUSPARSE_VERSION
                        
# 2024-04-02 09:40:07  0.00B 定义构建参数
ARG CURAND_VERSION
                        
# 2024-04-02 09:40:07  0.00B 定义构建参数
ARG CUFFT_VERSION
                        
# 2024-04-02 09:40:07  0.00B 定义构建参数
ARG CUBLAS_VERSION
                        
# 2024-04-02 09:40:07  0.00B 定义构建参数
ARG NCCL_VERSION
                        
# 2024-04-02 09:40:07  0.00B 添加元数据标签
LABEL com.nvidia.volumes.needed=nvidia_driver com.nvidia.cuda.version=9.0
                        
# 2024-04-02 09:40:07  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
                        
# 2024-04-02 09:40:07  58.91KB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.4.1.003 CUDA_DRIVER_VERSION=550.54.15 JETPACK_HOST_MOUNTS= /bin/sh -c cp -vprd /nvidia/. /  &&  patch -p0 < /etc/startup_scripts.patch  &&  rm -f /etc/startup_scripts.patch # buildkit
                        
# 2024-04-02 09:40:07  462.84MB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.4.1.003 CUDA_DRIVER_VERSION=550.54.15 JETPACK_HOST_MOUNTS= /bin/sh -c /nvidia/build-scripts/installCUDA.sh # buildkit
                        
# 2024-04-02 09:39:54  0.00B 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.4.1.003 CUDA_DRIVER_VERSION=550.54.15 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
                        
# 2024-04-02 09:39:54  0.00B 设置环境变量 CUDA_VERSION CUDA_DRIVER_VERSION CUDA_CACHE_DISABLE NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS
ENV CUDA_VERSION=12.4.1.003 CUDA_DRIVER_VERSION=550.54.15 CUDA_CACHE_DISABLE=1 NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS=
                        
# 2024-04-02 09:39:54  0.00B 定义构建参数
ARG JETPACK_HOST_MOUNTS
                        
# 2024-04-02 09:39:54  0.00B 定义构建参数
ARG CUDA_DRIVER_VERSION
                        
# 2024-04-02 09:39:54  0.00B 定义构建参数
ARG CUDA_VERSION
                        
# 2024-03-16 02:01:08  318.91MB 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         ca-certificates         curl         libncurses5         libncursesw5         patch         wget         rsync         unzip         jq         gnupg         libtcmalloc-minimal4 # buildkit
                        
# 2024-02-28 02:52:59  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2024-02-28 02:52:58  77.86MB 
/bin/sh -c #(nop) ADD file:21c2e8d95909bec6f4acdaf4aed55b44ee13603681f93b152e423e3e6a4a207b in / 
                        
# 2024-02-28 02:52:57  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2024-02-28 02:52:57  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2024-02-28 02:52:57  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2024-02-28 02:52:57  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

{
    "Id": "sha256:ecaf0a75fcf56ae11bcc04aa06886c38c25ce5874aabb5c63c7e79bced722ddb",
    "RepoTags": [
        "lmsysorg/sglang:deepep",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:deepep"
    ],
    "RepoDigests": [
        "lmsysorg/sglang@sha256:bf5d0e8091951c744b9c11d18ccabefc9f91ca6eaf198685a7ce5a2e1df8dcbc",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang@sha256:bf5d0e8091951c744b9c11d18ccabefc9f91ca6eaf198685a7ce5a2e1df8dcbc"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-05-26T00:37:20.550694092Z",
    "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/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin",
            "CUDA_VERSION=12.4.1.003",
            "CUDA_DRIVER_VERSION=550.54.15",
            "CUDA_CACHE_DISABLE=1",
            "NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS=",
            "_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=2.21.5",
            "CUBLAS_VERSION=12.4.5.8",
            "CUFFT_VERSION=11.2.1.3",
            "CURAND_VERSION=10.3.5.147",
            "CUSPARSE_VERSION=12.3.1.170",
            "CUSOLVER_VERSION=11.6.1.9",
            "CUTENSOR_VERSION=2.0.1.2",
            "NPP_VERSION=12.2.5.30",
            "NVJPEG_VERSION=12.3.1.117",
            "CUDNN_VERSION=9.1.0.70",
            "TRT_VERSION=8.6.3.1+cuda12.2.2.009",
            "TRTOSS_VERSION=23.11",
            "NSIGHT_SYSTEMS_VERSION=2024.2.1.106",
            "NSIGHT_COMPUTE_VERSION=2024.1.1.4",
            "DALI_VERSION=1.36.0",
            "DALI_BUILD=13435171",
            "POLYGRAPHY_VERSION=0.49.8",
            "TRANSFORMER_ENGINE_VERSION=1.5",
            "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",
            "GDRCOPY_VERSION=2.3.1-1",
            "HPCX_VERSION=2.18",
            "MOFED_VERSION=5.4-rdmacore39.0",
            "OPENUCX_VERSION=1.16.0",
            "OPENMPI_VERSION=4.1.7",
            "RDMACORE_VERSION=39.0",
            "OPAL_PREFIX=/opt/hpcx/ompi",
            "OMPI_MCA_coll_hcoll_enable=0",
            "LIBRARY_PATH=/usr/local/cuda/lib64/stubs:",
            "NVIDIA_TRITON_SERVER_BASE_VERSION=24.04",
            "NVIDIA_BUILD_ID=90085237",
            "DEBIAN_FRONTEND=interactive",
            "GDRCOPY_HOME=/usr/src/gdrdrv-2.4.4/",
            "CUDA_HOME=/usr/local/cuda",
            "NVSHMEM_DIR=/sgl-workspace/nvshmem/install"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/sgl-workspace",
        "Entrypoint": [
            "/opt/nvidia/nvidia_entrypoint.sh"
        ],
        "OnBuild": null,
        "Labels": {
            "com.nvidia.cublas.version": "12.4.5.8",
            "com.nvidia.cuda.version": "9.0",
            "com.nvidia.cudnn.version": "9.1.0.70",
            "com.nvidia.cufft.version": "11.2.1.3",
            "com.nvidia.curand.version": "10.3.5.147",
            "com.nvidia.cusolver.version": "11.6.1.9",
            "com.nvidia.cusparse.version": "12.3.1.170",
            "com.nvidia.cutensor.version": "2.0.1.2",
            "com.nvidia.nccl.version": "2.21.5",
            "com.nvidia.npp.version": "12.2.5.30",
            "com.nvidia.nsightcompute.version": "2024.1.1.4",
            "com.nvidia.nsightsystems.version": "2024.2.1.106",
            "com.nvidia.nvjpeg.version": "12.3.1.117",
            "com.nvidia.tensorrt.version": "8.6.3.1+cuda12.2.2.009",
            "com.nvidia.tensorrtoss.version": "23.11",
            "com.nvidia.volumes.needed": "nvidia_driver",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "22.04"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 16694584512,
    "GraphDriver": {
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            "MergedDir": "/var/lib/docker/overlay2/cd2a38e4af734e21a6de8e369fc90bf2c424edff896b88d75ff57923871071f8/merged",
            "UpperDir": "/var/lib/docker/overlay2/cd2a38e4af734e21a6de8e369fc90bf2c424edff896b88d75ff57923871071f8/diff",
            "WorkDir": "/var/lib/docker/overlay2/cd2a38e4af734e21a6de8e369fc90bf2c424edff896b88d75ff57923871071f8/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
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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
1017

docker.io/lmsysorg/sglang:v0.3.0-cu121

linux/amd64 docker.io15.88GB2024-09-12 00:53
308

docker.io/lmsysorg/sglang:v0.3.0-cu124

linux/amd64 docker.io16.12GB2024-09-13 01:38
233

docker.io/lmsysorg/sglang:latest

linux/amd64 docker.io15.95GB2024-10-29 01:12
1473

docker.io/lmsysorg/sglang:v0.4.0.post1-cu124

linux/amd64 docker.io16.59GB2024-12-22 06:13
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docker.io/lmsysorg/sglang:v0.4.1.post3-cu124-srt

linux/amd64 docker.io19.60GB2025-01-01 00:27
243

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

linux/amd64 docker.io19.63GB2025-01-01 00:55
171

docker.io/lmsysorg/sglang:v0.4.1.post7-cu124

linux/amd64 docker.io19.62GB2025-01-25 01:15
280

docker.io/lmsysorg/sglang:v0.4.2.post2-cu125

linux/amd64 docker.io18.94GB2025-02-08 01:46
184

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

linux/amd64 docker.io18.94GB2025-02-10 00:38
220

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

linux/amd64 docker.io18.37GB2025-02-12 01:31
488

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

linux/amd64 docker.io18.36GB2025-02-23 18:37
402

docker.io/lmsysorg/sglang:v0.4.3.post2-rocm630-srt

linux/amd64 docker.io50.09GB2025-03-04 00:51
216

docker.io/lmsysorg/sglang:v0.4.3.post2-cu125

linux/amd64 docker.io18.36GB2025-03-06 01:02
183

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

linux/amd64 docker.io18.40GB2025-03-10 05:17
95

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

linux/amd64 docker.io18.61GB2025-03-11 00:39
190

docker.io/lmsysorg/sglang:dev

linux/amd64 docker.io19.61GB2025-03-11 17:56
200

docker.io/lmsysorg/sglang:v0.4.3.post4-cu124

linux/amd64 docker.io18.61GB2025-03-12 03:08
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docker.io/lmsysorg/sglang:v0.4.4.post1-cu125

linux/amd64 docker.io15.66GB2025-03-22 00:30
176

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

linux/amd64 docker.io15.66GB2025-03-22 00:52
141

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

linux/amd64 docker.io14.38GB2025-04-01 00:21
168

docker.io/lmsysorg/sglang:v0.4.4.post2-cu124

linux/amd64 docker.io14.39GB2025-04-02 01:05
136

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

linux/amd64 docker.io14.75GB2025-04-10 01:09
149

docker.io/lmsysorg/sglang:v0.4.5-cu124

linux/amd64 docker.io14.75GB2025-04-11 01:25
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docker.io/lmsysorg/sglang:v0.4.5-cu118

linux/amd64 docker.io15.46GB2025-04-15 00:38
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docker.io/lmsysorg/sglang:v0.4.5.post3-cu121

linux/amd64 docker.io13.71GB2025-04-25 05:03
138

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

linux/amd64 docker.io14.20GB2025-04-26 01:11
126

docker.io/lmsysorg/sglang:v0.4.6.post1-cu124

linux/amd64 docker.io14.64GB2025-05-01 01:02
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docker.io/lmsysorg/sglang:v0.4.6.post1-rocm630-srt

linux/amd64 docker.io56.19GB2025-05-01 01:40
107

docker.io/lmsysorg/sglang:v0.4.6.post2-cu124

linux/amd64 docker.io15.18GB2025-05-02 00:35
182

docker.io/lmsysorg/sglang:v0.4.6.post3-cu124

linux/amd64 docker.io14.98GB2025-05-14 03:19
85

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

linux/amd64 docker.io14.79GB2025-05-22 02:47
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docker.io/lmsysorg/sglang:v0.4.6-cu125

linux/amd64 docker.io14.20GB2025-05-22 03:19
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docker.io/lmsysorg/sglang:v0.4.6.post1-cu125

linux/amd64 docker.io14.20GB2025-05-22 03:33
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docker.io/lmsysorg/sglang:v0.4.5.post2-cu125

linux/amd64 docker.io14.80GB2025-05-22 03:41
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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:v0.4.6.post5-cu124

linux/amd64 docker.io14.78GB2025-05-27 02:46
150

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docker.io/lmsysorg/sglang:blackwell

linux/amd64 docker.io28.29GB2025-06-12 03:24
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docker.io/lmsysorg/sglang:v0.4.7-cu124

linux/amd64 docker.io19.58GB2025-06-13 02:35
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docker.io/lmsysorg/sglang:v0.4.7.post1-cu124

linux/amd64 docker.io19.59GB2025-06-18 03:32
54