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docker.io/lmsysorg/sglang:v0.4.7-cu124
linux/amd64 docker.io
sglang 是一个基于 LMSYS 的 Shell Grammar Language 环境容器镜像。
1559
浏览次数
19.58GB
镜像大小
国内镜像
swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.4.7-cu124
源镜像
docker.io/lmsysorg/sglang:v0.4.7-cu124
镜像ID
sha256:a32cce9c522095b0c7a6c68e6282ab6851de632fc0c3c5deb610ef072587de05
镜像 TAG
v0.4.7-cu124
镜像大小
19.58GB
平台架构
linux/amd64
镜像源
docker.io
CMD
启动入口
/opt/nvidia/nvidia_entrypoint.sh
工作目录
/sgl-workspace
OS/平台
linux/amd64
镜像创建
2025-06-10T09:49:28.781696653Z
同步时间
2025-06-13 02:35
浏览量
1559 次
贡献者
⚙️ 环境变量 49
KeyValue
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:/opt/amazon/efa/bin 0
CUDA_VERSION=12.6.3.004 1
CUDA_DRIVER_VERSION=560.35.05 2
CUDA_CACHE_DISABLE=1 3
NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS= 4
_CUDA_COMPAT_PATH=/usr/local/cuda/compat 5
ENV=/etc/shinit_v2 6
BASH_ENV=/etc/bash.bashrc 7
SHELL=/bin/bash 8
NVIDIA_REQUIRE_CUDA=cuda>=9.0 9
NCCL_VERSION=2.23.4 10
CUBLAS_VERSION=12.6.4.1 11
CUFFT_VERSION=11.3.0.4 12
CURAND_VERSION=10.3.7.77 13
CUSPARSE_VERSION=12.5.4.2 14
CUSPARSELT_VERSION=0.6.3.2 15
CUSOLVER_VERSION=11.7.1.2 16
CUTENSOR_VERSION=2.0.2.5 17
NPP_VERSION=12.3.1.54 18
NVJPEG_VERSION=12.3.3.54 19
CUDNN_VERSION=9.6.0.74 20
CUDNN_FRONTEND_VERSION=1.8.0 21
TRT_VERSION=10.7.0.23 22
TRTOSS_VERSION= 23
NSIGHT_SYSTEMS_VERSION=2024.7.1.84 24
NSIGHT_COMPUTE_VERSION=2024.3.2.3 25
DALI_VERSION=1.44.0 26
DALI_BUILD=20402542 27
POLYGRAPHY_VERSION=0.49.13 28
TRANSFORMER_ENGINE_VERSION=1.13 29
MODEL_OPT_VERSION=0.21.0 30
LD_LIBRARY_PATH=/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64 31
NVIDIA_VISIBLE_DEVICES=all 32
NVIDIA_DRIVER_CAPABILITIES=compute,utility,video 33
NVIDIA_PRODUCT_NAME=Triton Server Base 34
GDRCOPY_VERSION=2.4.1 35
HPCX_VERSION=2.21 36
MOFED_VERSION=5.4-rdmacore39.0 37
OPENUCX_VERSION=1.18.0 38
OPENMPI_VERSION=4.1.7 39
RDMACORE_VERSION=39.0 40
EFA_VERSION=1.34.0 41
AWS_OFI_NCCL_VERSION=1.12.1 42
OPAL_PREFIX=/opt/hpcx/ompi 43
OMPI_MCA_coll_hcoll_enable=0 44
LIBRARY_PATH=/usr/local/cuda/lib64/stubs: 45
NVIDIA_TRITON_SERVER_BASE_VERSION=24.12 46
NVIDIA_BUILD_ID=128719878 47
DEBIAN_FRONTEND=interactive 48
🏷️ 镜像标签 19
KeyValue
12.6.4.1 com.nvidia.cublas.version
9.0 com.nvidia.cuda.version
9.6.0.74 com.nvidia.cudnn.version
11.3.0.4 com.nvidia.cufft.version
10.3.7.77 com.nvidia.curand.version
11.7.1.2 com.nvidia.cusolver.version
12.5.4.2 com.nvidia.cusparse.version
0.6.3.2 com.nvidia.cusparselt.version
2.0.2.5 com.nvidia.cutensor.version
2.23.4 com.nvidia.nccl.version
12.3.1.54 com.nvidia.npp.version
2024.3.2.3 com.nvidia.nsightcompute.version
2024.7.1.84 com.nvidia.nsightsystems.version
12.3.3.54 com.nvidia.nvjpeg.version
10.7.0.23 com.nvidia.tensorrt.version
com.nvidia.tensorrtoss.version
nvidia_driver com.nvidia.volumes.needed
ubuntu org.opencontainers.image.ref.name
24.04 org.opencontainers.image.version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.4.7-cu124
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.4.7-cu124  docker.io/lmsysorg/sglang:v0.4.7-cu124

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.4.7-cu124
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.4.7-cu124  docker.io/lmsysorg/sglang:v0.4.7-cu124

Shell快速替换命令

sed -i 's#lmsysorg/sglang:v0.4.7-cu124#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.4.7-cu124#' 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:v0.4.7-cu124 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.4.7-cu124  docker.io/lmsysorg/sglang:v0.4.7-cu124'

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:v0.4.7-cu124 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.4.7-cu124  docker.io/lmsysorg/sglang:v0.4.7-cu124'

镜像构建历史


# 2025-06-10 17:49:28  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=interactive
                        
# 2025-06-10 17:49:28  10.57GB 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 --break-system-packages --ignore-installed     && 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 --break-system-packages;        else          echo "Unsupported CUDA version: $CUDA_VERSION" && exit 1;        fi     && if [ "$CUDA_VERSION" = "12.4.1" ]; then          python3 -m pip install --no-cache-dir torch --index-url https://download.pytorch.org/whl/cu126 --break-system-packages;        else          python3 -m pip install --no-cache-dir torch --index-url https://download.pytorch.org/whl/cu${CUINDEX} --break-system-packages;        fi     && cd sglang     && python3 -m pip --no-cache-dir install -e "python[${BUILD_TYPE}]" --break-system-packages     && if [ "$CUDA_VERSION" = "12.8.1" ]; then          python3 -m pip install nvidia-nccl-cu12==2.26.2.post1 --force-reinstall --no-deps --break-system-packages;        fi # buildkit
                        
# 2025-06-10 17:46:27  0.00B 定义构建参数
ARG CUDA_VERSION=12.4.1
                        
# 2025-06-10 17:46:27  0.00B 设置工作目录为/sgl-workspace
WORKDIR /sgl-workspace
                        
# 2025-06-10 17:46:27  32.52MB 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 --break-system-packages # buildkit
                        
# 2025-06-10 17:46:23  266.68MB 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
                        
# 2025-06-10 17:46:23  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2025-06-10 17:46:23  0.00B 定义构建参数
ARG BUILD_TYPE=all
                        
# 2024-12-16 17:07:45  106.00B 执行命令并创建新的镜像层
RUN |2 NVIDIA_TRITON_SERVER_BASE_VERSION=24.12 NVIDIA_BUILD_ID=128719878 /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
                        
# 2024-12-16 17:07:44  733.00B 复制新文件或目录到容器中
COPY docker/entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2024-12-16 17:07:44  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=Triton Server Base
                        
# 2024-12-16 17:07:44  0.00B 设置环境变量 NVIDIA_BUILD_ID
ENV NVIDIA_BUILD_ID=128719878
                        
# 2024-12-16 17:07:44  0.00B 设置环境变量 NVIDIA_TRITON_SERVER_BASE_VERSION
ENV NVIDIA_TRITON_SERVER_BASE_VERSION=24.12
                        
# 2024-12-16 17:07:44  0.00B 定义构建参数
ARG NVIDIA_BUILD_ID
                        
# 2024-12-16 17:07:44  0.00B 定义构建参数
ARG NVIDIA_TRITON_SERVER_BASE_VERSION
                        
# 2024-12-06 05:25:02  39.59KB 执行命令并创建新的镜像层
RUN |9 GDRCOPY_VERSION=2.4.1 HPCX_VERSION=2.21 RDMACORE_VERSION=39.0 MOFED_VERSION=5.4-rdmacore39.0 OPENUCX_VERSION=1.18.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.34.0 AWS_OFI_NCCL_VERSION=1.12.1 TARGETARCH=amd64 /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
                        
# 2024-12-06 05:25:02  934.87KB 复制新文件或目录到容器中
COPY /opt/amazon/aws-ofi-nccl /opt/amazon/aws-ofi-nccl # buildkit
                        
# 2024-12-06 05:24:49  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs:
                        
# 2024-12-06 05:24:49  1.01GB 执行命令并创建新的镜像层
RUN |9 GDRCOPY_VERSION=2.4.1 HPCX_VERSION=2.21 RDMACORE_VERSION=39.0 MOFED_VERSION=5.4-rdmacore39.0 OPENUCX_VERSION=1.18.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.34.0 AWS_OFI_NCCL_VERSION=1.12.1 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  && 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/installCUTENSOR.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
                        
# 2024-12-06 05:22:26  1.49KB 复制新文件或目录到容器中
COPY cuda-*.patch /tmp # buildkit
                        
# 2024-12-06 05:22:26  0.00B 设置环境变量 OMPI_MCA_coll_hcoll_enable
ENV OMPI_MCA_coll_hcoll_enable=0
                        
# 2024-12-06 05:22:26  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:/opt/amazon/efa/bin
                        
# 2024-12-06 05:22:26  226.69MB 执行命令并创建新的镜像层
RUN |9 GDRCOPY_VERSION=2.4.1 HPCX_VERSION=2.21 RDMACORE_VERSION=39.0 MOFED_VERSION=5.4-rdmacore39.0 OPENUCX_VERSION=1.18.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.34.0 AWS_OFI_NCCL_VERSION=1.12.1 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
                        
# 2024-12-06 05:22:26  0.00B 定义构建参数
ARG TARGETARCH=amd64
                        
# 2024-12-06 05:22:26  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=2.4.1 HPCX_VERSION=2.21 MOFED_VERSION=5.4-rdmacore39.0 OPENUCX_VERSION=1.18.0 OPENMPI_VERSION=4.1.7 RDMACORE_VERSION=39.0 EFA_VERSION=1.34.0 AWS_OFI_NCCL_VERSION=1.12.1
                        
# 2024-12-06 05:22:26  0.00B 定义构建参数
ARG AWS_OFI_NCCL_VERSION=1.12.1
                        
# 2024-12-06 05:22:26  0.00B 定义构建参数
ARG EFA_VERSION=1.34.0
                        
# 2024-12-06 05:22:26  0.00B 定义构建参数
ARG OPENMPI_VERSION=4.1.7
                        
# 2024-12-06 05:22:26  0.00B 定义构建参数
ARG OPENUCX_VERSION=1.18.0
                        
# 2024-12-06 05:22:26  0.00B 定义构建参数
ARG MOFED_VERSION=5.4-rdmacore39.0
                        
# 2024-12-06 05:22:26  0.00B 定义构建参数
ARG RDMACORE_VERSION=39.0
                        
# 2024-12-06 05:22:26  0.00B 定义构建参数
ARG HPCX_VERSION=2.21
                        
# 2024-12-06 05:22:26  0.00B 定义构建参数
ARG GDRCOPY_VERSION=2.4.1
                        
# 2024-12-06 05:22:18  101.49MB 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
                        
# 2024-12-06 04:58:22  148.72KB 复制新文件或目录到容器中
COPY NVIDIA_Deep_Learning_Container_License.pdf /workspace/ # buildkit
                        
# 2024-12-06 04:58:22  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2024-12-06 04:58:22  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2024-12-06 04:58:22  16.12KB 复制新文件或目录到容器中
COPY entrypoint/ /opt/nvidia/ # buildkit
                        
# 2024-12-06 04:58:22  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
                        
# 2024-12-06 04:58:22  0.00B 定义构建参数
ARG _LIBPATH_SUFFIX=
                        
# 2024-12-06 04:58:22  46.00B 执行命令并创建新的镜像层
RUN |24 CUDA_VERSION=12.6.3.004 CUDA_DRIVER_VERSION=560.35.05 JETPACK_HOST_MOUNTS= NCCL_VERSION=2.23.4 CUBLAS_VERSION=12.6.4.1 CUFFT_VERSION=11.3.0.4 CURAND_VERSION=10.3.7.77 CUSPARSE_VERSION=12.5.4.2 CUSOLVER_VERSION=11.7.1.2 CUTENSOR_VERSION=2.0.2.5 NPP_VERSION=12.3.1.54 NVJPEG_VERSION=12.3.3.54 CUDNN_VERSION=9.6.0.74 CUDNN_FRONTEND_VERSION=1.8.0 TRT_VERSION=10.7.0.23 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2024.7.1.84 NSIGHT_COMPUTE_VERSION=2024.3.2.3 CUSPARSELT_VERSION=0.6.3.2 DALI_VERSION=1.44.0 DALI_BUILD=20402542 POLYGRAPHY_VERSION=0.49.13 TRANSFORMER_ENGINE_VERSION=1.13 MODEL_OPT_VERSION=0.21.0 /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
                        
# 2024-12-06 04:58:22  13.39KB 复制文件或目录到容器中
ADD docs.tgz / # buildkit
                        
# 2024-12-06 04:58:22  0.00B 设置环境变量 DALI_VERSION DALI_BUILD POLYGRAPHY_VERSION TRANSFORMER_ENGINE_VERSION MODEL_OPT_VERSION
ENV DALI_VERSION=1.44.0 DALI_BUILD=20402542 POLYGRAPHY_VERSION=0.49.13 TRANSFORMER_ENGINE_VERSION=1.13 MODEL_OPT_VERSION=0.21.0
                        
# 2024-12-06 04:58:22  0.00B 定义构建参数
ARG MODEL_OPT_VERSION=0.21.0
                        
# 2024-12-06 04:58:22  0.00B 定义构建参数
ARG TRANSFORMER_ENGINE_VERSION=1.13
                        
# 2024-12-06 04:58:22  0.00B 定义构建参数
ARG POLYGRAPHY_VERSION=0.49.13
                        
# 2024-12-06 04:58:22  0.00B 定义构建参数
ARG DALI_BUILD=20402542
                        
# 2024-12-06 04:58:22  0.00B 定义构建参数
ARG DALI_VERSION=1.44.0
                        
# 2024-12-06 04:58:22  0.00B 添加元数据标签
LABEL com.nvidia.nccl.version=2.23.4 com.nvidia.cublas.version=12.6.4.1 com.nvidia.cufft.version=11.3.0.4 com.nvidia.curand.version=10.3.7.77 com.nvidia.cusparse.version=12.5.4.2 com.nvidia.cusparselt.version=0.6.3.2 com.nvidia.cusolver.version=11.7.1.2 com.nvidia.cutensor.version=2.0.2.5 com.nvidia.npp.version=12.3.1.54 com.nvidia.nvjpeg.version=12.3.3.54 com.nvidia.cudnn.version=9.6.0.74 com.nvidia.tensorrt.version=10.7.0.23 com.nvidia.tensorrtoss.version= com.nvidia.nsightsystems.version=2024.7.1.84 com.nvidia.nsightcompute.version=2024.3.2.3
                        
# 2024-12-06 04:58:22  6.50GB 执行命令并创建新的镜像层
RUN |19 CUDA_VERSION=12.6.3.004 CUDA_DRIVER_VERSION=560.35.05 JETPACK_HOST_MOUNTS= NCCL_VERSION=2.23.4 CUBLAS_VERSION=12.6.4.1 CUFFT_VERSION=11.3.0.4 CURAND_VERSION=10.3.7.77 CUSPARSE_VERSION=12.5.4.2 CUSOLVER_VERSION=11.7.1.2 CUTENSOR_VERSION=2.0.2.5 NPP_VERSION=12.3.1.54 NVJPEG_VERSION=12.3.3.54 CUDNN_VERSION=9.6.0.74 CUDNN_FRONTEND_VERSION=1.8.0 TRT_VERSION=10.7.0.23 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2024.7.1.84 NSIGHT_COMPUTE_VERSION=2024.3.2.3 CUSPARSELT_VERSION=0.6.3.2 /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/installCUTENSOR.sh  && /nvidia/build-scripts/installCUSPARSELT.sh  && if [ -z "${JETPACK_HOST_MOUNTS}" ]; then       /nvidia/build-scripts/installNCCL.sh;     fi; # buildkit
                        
# 2024-12-06 04:57:31  0.00B 设置环境变量 NCCL_VERSION CUBLAS_VERSION CUFFT_VERSION CURAND_VERSION CUSPARSE_VERSION CUSPARSELT_VERSION CUSOLVER_VERSION CUTENSOR_VERSION NPP_VERSION NVJPEG_VERSION CUDNN_VERSION CUDNN_FRONTEND_VERSION TRT_VERSION TRTOSS_VERSION NSIGHT_SYSTEMS_VERSION NSIGHT_COMPUTE_VERSION
ENV NCCL_VERSION=2.23.4 CUBLAS_VERSION=12.6.4.1 CUFFT_VERSION=11.3.0.4 CURAND_VERSION=10.3.7.77 CUSPARSE_VERSION=12.5.4.2 CUSPARSELT_VERSION=0.6.3.2 CUSOLVER_VERSION=11.7.1.2 CUTENSOR_VERSION=2.0.2.5 NPP_VERSION=12.3.1.54 NVJPEG_VERSION=12.3.3.54 CUDNN_VERSION=9.6.0.74 CUDNN_FRONTEND_VERSION=1.8.0 TRT_VERSION=10.7.0.23 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2024.7.1.84 NSIGHT_COMPUTE_VERSION=2024.3.2.3
                        
# 2024-12-06 04:57:31  0.00B 定义构建参数
ARG CUSPARSELT_VERSION=0.6.3.2
                        
# 2024-12-06 04:57:31  0.00B 定义构建参数
ARG NSIGHT_COMPUTE_VERSION=2024.3.2.3
                        
# 2024-12-06 04:57:31  0.00B 定义构建参数
ARG NSIGHT_SYSTEMS_VERSION=2024.7.1.84
                        
# 2024-12-06 04:57:31  0.00B 定义构建参数
ARG TRTOSS_VERSION=
                        
# 2024-12-06 04:57:31  0.00B 定义构建参数
ARG TRT_VERSION=10.7.0.23
                        
# 2024-12-06 04:57:31  0.00B 定义构建参数
ARG CUDNN_FRONTEND_VERSION=1.8.0
                        
# 2024-12-06 04:57:31  0.00B 定义构建参数
ARG CUDNN_VERSION=9.6.0.74
                        
# 2024-12-06 04:57:31  0.00B 定义构建参数
ARG NVJPEG_VERSION=12.3.3.54
                        
# 2024-12-06 04:57:31  0.00B 定义构建参数
ARG NPP_VERSION=12.3.1.54
                        
# 2024-12-06 04:57:31  0.00B 定义构建参数
ARG CUTENSOR_VERSION=2.0.2.5
                        
# 2024-12-06 04:57:31  0.00B 定义构建参数
ARG CUSOLVER_VERSION=11.7.1.2
                        
# 2024-12-06 04:57:31  0.00B 定义构建参数
ARG CUSPARSE_VERSION=12.5.4.2
                        
# 2024-12-06 04:57:31  0.00B 定义构建参数
ARG CURAND_VERSION=10.3.7.77
                        
# 2024-12-06 04:57:31  0.00B 定义构建参数
ARG CUFFT_VERSION=11.3.0.4
                        
# 2024-12-06 04:57:31  0.00B 定义构建参数
ARG CUBLAS_VERSION=12.6.4.1
                        
# 2024-12-06 04:57:31  0.00B 定义构建参数
ARG NCCL_VERSION=2.23.4
                        
# 2024-12-06 04:57:31  0.00B 添加元数据标签
LABEL com.nvidia.volumes.needed=nvidia_driver com.nvidia.cuda.version=9.0
                        
# 2024-12-06 04:57:31  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
                        
# 2024-12-06 04:57:31  59.18KB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.6.3.004 CUDA_DRIVER_VERSION=560.35.05 JETPACK_HOST_MOUNTS= /bin/sh -c cp -vprd /nvidia/. /  &&  patch -p0 < /etc/startup_scripts.patch  &&  rm -f /etc/startup_scripts.patch # buildkit
                        
# 2024-12-06 04:57:31  460.11MB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.6.3.004 CUDA_DRIVER_VERSION=560.35.05 JETPACK_HOST_MOUNTS= /bin/sh -c /nvidia/build-scripts/installCUDA.sh # buildkit
                        
# 2024-12-06 04:57:24  0.00B 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.6.3.004 CUDA_DRIVER_VERSION=560.35.05 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
                        
# 2024-12-06 04:57:24  0.00B 设置环境变量 CUDA_VERSION CUDA_DRIVER_VERSION CUDA_CACHE_DISABLE NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS
ENV CUDA_VERSION=12.6.3.004 CUDA_DRIVER_VERSION=560.35.05 CUDA_CACHE_DISABLE=1 NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS=
                        
# 2024-12-06 04:57:24  0.00B 定义构建参数
ARG JETPACK_HOST_MOUNTS=
                        
# 2024-12-06 04:57:24  0.00B 定义构建参数
ARG CUDA_DRIVER_VERSION=560.35.05
                        
# 2024-12-06 04:57:24  0.00B 定义构建参数
ARG CUDA_VERSION=12.6.3.004
                        
# 2024-12-06 04:57:24  330.91MB 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         libncurses6         libncursesw6         patch         wget         rsync         unzip         jq         gnupg         libtcmalloc-minimal4  && rm -rf /var/lib/apt/lists/*  && echo "hsts=0" > /root/.wgetrc # buildkit
                        
# 2024-11-20 01:29:25  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2024-11-20 01:29:25  78.12MB 
/bin/sh -c #(nop) ADD file:bcebbf0fddcba5b864d5d267b68dd23bcfb01275e6ec7bcab69bf8b56af14804 in / 
                        
# 2024-11-20 01:29:23  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=24.04
                        
# 2024-11-20 01:29:23  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2024-11-20 01:29:23  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2024-11-20 01:29:23  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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    "RepoTags": [
        "lmsysorg/sglang:v0.4.7-cu124",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.4.7-cu124"
    ],
    "RepoDigests": [
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    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-06-10T09:49:28.781696653Z",
    "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:/opt/amazon/efa/bin",
            "CUDA_VERSION=12.6.3.004",
            "CUDA_DRIVER_VERSION=560.35.05",
            "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=2.23.4",
            "CUBLAS_VERSION=12.6.4.1",
            "CUFFT_VERSION=11.3.0.4",
            "CURAND_VERSION=10.3.7.77",
            "CUSPARSE_VERSION=12.5.4.2",
            "CUSPARSELT_VERSION=0.6.3.2",
            "CUSOLVER_VERSION=11.7.1.2",
            "CUTENSOR_VERSION=2.0.2.5",
            "NPP_VERSION=12.3.1.54",
            "NVJPEG_VERSION=12.3.3.54",
            "CUDNN_VERSION=9.6.0.74",
            "CUDNN_FRONTEND_VERSION=1.8.0",
            "TRT_VERSION=10.7.0.23",
            "TRTOSS_VERSION=",
            "NSIGHT_SYSTEMS_VERSION=2024.7.1.84",
            "NSIGHT_COMPUTE_VERSION=2024.3.2.3",
            "DALI_VERSION=1.44.0",
            "DALI_BUILD=20402542",
            "POLYGRAPHY_VERSION=0.49.13",
            "TRANSFORMER_ENGINE_VERSION=1.13",
            "MODEL_OPT_VERSION=0.21.0",
            "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",
            "GDRCOPY_VERSION=2.4.1",
            "HPCX_VERSION=2.21",
            "MOFED_VERSION=5.4-rdmacore39.0",
            "OPENUCX_VERSION=1.18.0",
            "OPENMPI_VERSION=4.1.7",
            "RDMACORE_VERSION=39.0",
            "EFA_VERSION=1.34.0",
            "AWS_OFI_NCCL_VERSION=1.12.1",
            "OPAL_PREFIX=/opt/hpcx/ompi",
            "OMPI_MCA_coll_hcoll_enable=0",
            "LIBRARY_PATH=/usr/local/cuda/lib64/stubs:",
            "NVIDIA_TRITON_SERVER_BASE_VERSION=24.12",
            "NVIDIA_BUILD_ID=128719878",
            "DEBIAN_FRONTEND=interactive"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/sgl-workspace",
        "Entrypoint": [
            "/opt/nvidia/nvidia_entrypoint.sh"
        ],
        "OnBuild": null,
        "Labels": {
            "com.nvidia.cublas.version": "12.6.4.1",
            "com.nvidia.cuda.version": "9.0",
            "com.nvidia.cudnn.version": "9.6.0.74",
            "com.nvidia.cufft.version": "11.3.0.4",
            "com.nvidia.curand.version": "10.3.7.77",
            "com.nvidia.cusolver.version": "11.7.1.2",
            "com.nvidia.cusparse.version": "12.5.4.2",
            "com.nvidia.cusparselt.version": "0.6.3.2",
            "com.nvidia.cutensor.version": "2.0.2.5",
            "com.nvidia.nccl.version": "2.23.4",
            "com.nvidia.npp.version": "12.3.1.54",
            "com.nvidia.nsightcompute.version": "2024.3.2.3",
            "com.nvidia.nsightsystems.version": "2024.7.1.84",
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            "com.nvidia.tensorrt.version": "10.7.0.23",
            "com.nvidia.tensorrtoss.version": "",
            "com.nvidia.volumes.needed": "nvidia_driver",
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    }
}

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

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600

docker.io/lmsysorg/sglang:v0.4.4.post1-cu125

linux/amd64 docker.io15.66GB2025-03-22 00:30
638

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

linux/amd64 docker.io15.66GB2025-03-22 00:52
536

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

linux/amd64 docker.io14.38GB2025-04-01 00:21
680

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

linux/amd64 docker.io14.39GB2025-04-02 01:05
670

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

linux/amd64 docker.io14.75GB2025-04-10 01:09
745

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

linux/amd64 docker.io14.75GB2025-04-11 01:25
648

docker.io/lmsysorg/sglang:v0.4.5-cu118

linux/amd64 docker.io15.46GB2025-04-15 00:38
906

docker.io/lmsysorg/sglang:v0.4.5.post3-cu121

linux/amd64 docker.io13.71GB2025-04-25 05:03
705

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

linux/amd64 docker.io14.20GB2025-04-26 01:11
567

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

linux/amd64 docker.io14.64GB2025-05-01 01:02
737

docker.io/lmsysorg/sglang:v0.4.6.post1-rocm630-srt

linux/amd64 docker.io56.19GB2025-05-01 01:40
1158

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

linux/amd64 docker.io15.18GB2025-05-02 00:35
616

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

linux/amd64 docker.io14.98GB2025-05-14 03:19
703

docker.io/lmsysorg/sglang:v0.4.4.post4-cu125

linux/amd64 docker.io14.75GB2025-05-22 02:29
447

docker.io/lmsysorg/sglang:v0.4.5.post1-cu125

linux/amd64 docker.io14.79GB2025-05-22 02:47
537

docker.io/lmsysorg/sglang:v0.4.6-cu125

linux/amd64 docker.io14.20GB2025-05-22 03:19
464

docker.io/lmsysorg/sglang:v0.4.6.post1-cu125

linux/amd64 docker.io14.20GB2025-05-22 03:33
551

docker.io/lmsysorg/sglang:v0.4.5.post2-cu125

linux/amd64 docker.io14.80GB2025-05-22 03:41
412

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

linux/amd64 docker.io14.87GB2025-05-23 01:52
932

docker.io/lmsysorg/sglang:v0.4.6.post5-cu124

linux/amd64 docker.io14.78GB2025-05-27 02:46
1176

docker.io/lmsysorg/sglang:deepep

linux/amd64 docker.io16.69GB2025-05-27 06:52
1466

docker.io/lmsysorg/sglang:blackwell

linux/amd64 docker.io28.29GB2025-06-12 03:24
1664

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

linux/amd64 docker.io19.58GB2025-06-13 02:35
1558

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

linux/amd64 docker.io19.59GB2025-06-18 03:32
1995

docker.io/lmsysorg/sglang:v0.5.7-cu130-runtime

linux/amd64 docker.io27.88GB2026-01-23 03:32
1043

docker.io/lmsysorg/sglang:main-cann8.5.0-910b

linux/arm64 docker.io13.52GB2026-02-28 01:49
460

docker.io/lmsysorg/sglang:v0.5.9-cann8.5.0-910b

linux/arm64 docker.io13.38GB2026-03-02 00:25
2042

docker.io/lmsysorg/sglang:dsv32-a3

linux/arm64 docker.io19.05GB2026-03-02 01:07
381

docker.io/lmsysorg/sglang:v0.5.10rc0-cann8.5.0-910b

linux/arm64 docker.io13.69GB2026-04-02 03:10
446

docker.io/lmsysorg/sglang:v0.5.10-cann8.5.0-910b

linux/arm64 docker.io13.85GB2026-04-08 21:49
277

docker.io/lmsysorg/sglang:v0.5.10.post1-cann8.5.0-910b

linux/arm64 docker.io13.85GB2026-04-12 01:20
409

docker.io/lmsysorg/sglang:v0.5.10.post1-cu130-runtime

linux/amd64 docker.io33.94GB2026-04-30 02:18
331

docker.io/lmsysorg/sglang:v0.5.11-cann8.5.0-910b

linux/arm64 docker.io14.02GB2026-05-08 01:35
237

docker.io/lmsysorg/sglang:v0.5.11

linux/amd64 docker.io33.35GB2026-05-12 00:42
597

docker.io/lmsysorg/sglang:v0.5.11-cu130

linux/amd64 docker.io33.35GB2026-05-21 13:33
236

docker.io/lmsysorg/sglang:v0.5.12

linux/amd64 docker.io33.58GB2026-05-24 00:50
519

docker.io/lmsysorg/sglang:v0.5.12-cann8.5.0-910b

linux/arm64 docker.io14.07GB2026-05-29 00:53
159

docker.io/lmsysorg/sglang:v0.5.9

linux/amd64 docker.io38.69GB2026-06-03 02:01
766

docker.io/lmsysorg/sglang:spark

linux/arm64 docker.io25.52GB2026-06-03 03:47
108

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

linux/amd64 docker.io33.60GB2026-06-11 03:30
1129

docker.io/lmsysorg/sglang:v0.5.12-cu130-runtime

linux/amd64 docker.io30.06GB2026-06-13 02:38
132

docker.io/lmsysorg/sglang:v0.5.13-cu130-runtime

linux/amd64 docker.io24.51GB2026-06-16 03:20
159

docker.io/lmsysorg/sglang:v0.5.13.post1

linux/amd64 docker.io28.04GB2026-06-18 01:14
472

docker.io/lmsysorg/sglang:v0.5.13.post1-cu129

linux/amd64 docker.io37.04GB2026-06-26 01:50
177

docker.io/lmsysorg/sglang:v0.5.14-xeon

linux/amd64 docker.io3.95GB2026-06-29 16:03
104

docker.io/lmsysorg/sglang:v0.4.6-cu121

linux/amd64 docker.io13.71GB2026-06-30 00:36
121

docker.io/lmsysorg/sglang:v0.5.14-cu130

linux/amd64 docker.io29.19GB2026-07-01 01:50
194

docker.io/lmsysorg/sglang:dev-cu13

linux/amd64 docker.io29.45GB2026-07-08 02:02
28
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