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docker.io/lmsysorg/sglang:v0.5.18-runtime
linux/amd64 docker.io
sglang 是一个基于 LMSYS 的 Shell Grammar Language 环境容器镜像。
26
浏览次数
28.49GB
镜像大小
国内镜像
swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.5.18-runtime
源镜像
docker.io/lmsysorg/sglang:v0.5.18-runtime
镜像ID
sha256:13ca204951b0d747df158d0048bdf89a90ec55b68674b7dd9f32b79ebe0f24e8
镜像 TAG
v0.5.18-runtime
镜像大小
28.49GB
平台架构
linux/amd64
镜像源
docker.io
CMD
/bin/bash
启动入口
/opt/nvidia/nvidia_entrypoint.sh
工作目录
/sgl-workspace/sglang
OS/平台
linux/amd64
镜像创建
2026-08-21T23:17:06.448425675Z
同步时间
2026-08-28 04:15
浏览量
26 次
贡献者
⚙️ 环境变量 49
KeyValue
PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/cuda/nvvm/bin 0
NVARCH=x86_64 1
NVIDIA_REQUIRE_CUDA=cuda>=13.0 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=550,driver<551 brand=grid,driver>=550,driver<551 brand=tesla,driver>=550,driver<551 brand=nvidia,driver>=550,driver<551 brand=quadro,driver>=550,driver<551 brand=quadrortx,driver>=550,driver<551 brand=nvidiartx,driver>=550,driver<551 brand=vapps,driver>=550,driver<551 brand=vpc,driver>=550,driver<551 brand=vcs,driver>=550,driver<551 brand=vws,driver>=550,driver<551 brand=cloudgaming,driver>=550,driver<551 brand=unknown,driver>=565,driver<566 brand=grid,driver>=565,driver<566 brand=tesla,driver>=565,driver<566 brand=nvidia,driver>=565,driver<566 brand=quadro,driver>=565,driver<566 brand=quadrortx,driver>=565,driver<566 brand=nvidiartx,driver>=565,driver<566 brand=vapps,driver>=565,driver<566 brand=vpc,driver>=565,driver<566 brand=vcs,driver>=565,driver<566 brand=vws,driver>=565,driver<566 brand=cloudgaming,driver>=565,driver<566 brand=unknown,driver>=570,driver<571 brand=grid,driver>=570,driver<571 brand=tesla,driver>=570,driver<571 brand=nvidia,driver>=570,driver<571 brand=quadro,driver>=570,driver<571 brand=quadrortx,driver>=570,driver<571 brand=nvidiartx,driver>=570,driver<571 brand=vapps,driver>=570,driver<571 brand=vpc,driver>=570,driver<571 brand=vcs,driver>=570,driver<571 brand=vws,driver>=570,driver<571 brand=cloudgaming,driver>=570,driver<571 brand=unknown,driver>=575,driver<576 brand=grid,driver>=575,driver<576 brand=tesla,driver>=575,driver<576 brand=nvidia,driver>=575,driver<576 brand=quadro,driver>=575,driver<576 brand=quadrortx,driver>=575,driver<576 brand=nvidiartx,driver>=575,driver<576 brand=vapps,driver>=575,driver<576 brand=vpc,driver>=575,driver<576 brand=vcs,driver>=575,driver<576 brand=vws,driver>=575,driver<576 brand=cloudgaming,driver>=575,driver<576 2
NV_CUDA_CUDART_VERSION=13.0.96-1 3
CUDA_VERSION=13.0.3 4
LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64 5
NVIDIA_VISIBLE_DEVICES=all 6
NVIDIA_DRIVER_CAPABILITIES=compute,utility 7
NV_CUDA_LIB_VERSION=13.0.3-1 8
NV_NVTX_VERSION=13.0.85-1 9
NV_LIBNPP_VERSION=13.0.1.2-1 10
NV_LIBNPP_PACKAGE=libnpp-13-0=13.0.1.2-1 11
NV_LIBCUSPARSE_VERSION=12.6.3.3-1 12
NV_LIBCUBLAS_PACKAGE_NAME=libcublas-13-0 13
NV_LIBCUBLAS_VERSION=13.1.1.3-1 14
NV_LIBCUBLAS_PACKAGE=libcublas-13-0=13.1.1.3-1 15
NV_LIBNCCL_PACKAGE_NAME=libnccl2 16
NV_LIBNCCL_PACKAGE_VERSION=2.28.3-1 17
NCCL_VERSION=2.28.3-1 18
NV_LIBNCCL_PACKAGE=libnccl2=2.28.3-1+cuda13.0 19
NVIDIA_PRODUCT_NAME=CUDA 20
NV_CUDA_CUDART_DEV_VERSION=13.0.96-1 21
NV_NVML_DEV_VERSION=13.0.87-1 22
NV_LIBCUSPARSE_DEV_VERSION=12.6.3.3-1 23
NV_LIBNPP_DEV_VERSION=13.0.1.2-1 24
NV_LIBNPP_DEV_PACKAGE=libnpp-dev-13-0=13.0.1.2-1 25
NV_LIBCUBLAS_DEV_VERSION=13.1.1.3-1 26
NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-13-0 27
NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-13-0=13.1.1.3-1 28
NV_CUDA_NSIGHT_COMPUTE_VERSION=13.0.3-1 29
NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-13-0=13.0.3-1 30
NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev 31
NV_LIBNCCL_DEV_PACKAGE_VERSION=2.28.3-1 32
NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.28.3-1+cuda13.0 33
LIBRARY_PATH=/usr/local/cuda/lib64/stubs 34
NV_CUDNN_VERSION=9.14.0.64-1 35
NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-13 36
NV_CUDNN_PACKAGE=libcudnn9-cuda-13=9.14.0.64-1 37
NV_CUDNN_PACKAGE_DEV=libcudnn9-dev-cuda-13=9.14.0.64-1 38
NV_CUDNN_PACKAGE_DEV_HEADERS=libcudnn9-headers-cuda-13=9.14.0.64-1 39
DEBIAN_FRONTEND=noninteractive 40
CUDA_HOME=/usr/local/cuda 41
GDRCOPY_HOME=/usr/src/gdrdrv-2.5.1/ 42
LANG=en_US.UTF-8 43
LANGUAGE=en_US:en 44
LC_ALL=en_US.UTF-8 45
SGLANG_BUILD_COMMIT=71de97b264b04dcd514cf904003028aefe9775c8 46
SGLANG_BUILD_URL=https://github.com/sgl-project/sglang/actions/runs/32520522498 47
SGLANG_IMAGE_TAG=lmsysorg/sglang:v0.5.18-runtime 48
🏷️ 镜像标签 9
KeyValue
71de97b264b04dcd514cf904003028aefe9775c8 ai.sglang.build.commit
https://github.com/sgl-project/sglang/actions/runs/32520522498 ai.sglang.build.url
lmsysorg/sglang:v0.5.18-runtime ai.sglang.image.tag
9.14.0.64-1 com.nvidia.cudnn.version
NVIDIA CORPORATION <cudatools@nvidia.com> maintainer
71de97b264b04dcd514cf904003028aefe9775c8 org.opencontainers.image.revision
https://github.com/sgl-project/sglang org.opencontainers.image.source
https://github.com/sgl-project/sglang/actions/runs/32520522498 org.opencontainers.image.url
lmsysorg/sglang:v0.5.18-runtime org.opencontainers.image.version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.5.18-runtime
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.5.18-runtime  docker.io/lmsysorg/sglang:v0.5.18-runtime

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.5.18-runtime
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.5.18-runtime  docker.io/lmsysorg/sglang:v0.5.18-runtime

Shell快速替换命令

sed -i 's#lmsysorg/sglang:v0.5.18-runtime#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.5.18-runtime#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.5.18-runtime && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.5.18-runtime  docker.io/lmsysorg/sglang:v0.5.18-runtime'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.5.18-runtime && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.5.18-runtime  docker.io/lmsysorg/sglang:v0.5.18-runtime'

镜像构建历史


# 2026-08-22 07:17:06  0.00B 设置默认要执行的命令
CMD ["/bin/bash"]
                        
# 2026-08-22 07:17:06  0.00B 添加元数据标签
LABEL org.opencontainers.image.source=https://github.com/sgl-project/sglang org.opencontainers.image.revision=71de97b264b04dcd514cf904003028aefe9775c8 org.opencontainers.image.version=lmsysorg/sglang:v0.5.18-runtime org.opencontainers.image.url=https://github.com/sgl-project/sglang/actions/runs/32520522498 ai.sglang.build.commit=71de97b264b04dcd514cf904003028aefe9775c8 ai.sglang.build.url=https://github.com/sgl-project/sglang/actions/runs/32520522498 ai.sglang.image.tag=lmsysorg/sglang:v0.5.18-runtime
                        
# 2026-08-22 07:17:06  0.00B 设置环境变量 SGLANG_BUILD_COMMIT SGLANG_BUILD_URL SGLANG_IMAGE_TAG
ENV SGLANG_BUILD_COMMIT=71de97b264b04dcd514cf904003028aefe9775c8 SGLANG_BUILD_URL=https://github.com/sgl-project/sglang/actions/runs/32520522498 SGLANG_IMAGE_TAG=lmsysorg/sglang:v0.5.18-runtime
                        
# 2026-08-22 07:17:06  0.00B 定义构建参数
ARG SGLANG_IMAGE_TAG=lmsysorg/sglang:v0.5.18-runtime
                        
# 2026-08-22 07:17:06  0.00B 定义构建参数
ARG SGLANG_BUILD_URL=https://github.com/sgl-project/sglang/actions/runs/32520522498
                        
# 2026-08-22 07:17:06  0.00B 定义构建参数
ARG SGLANG_BUILD_COMMIT=71de97b264b04dcd514cf904003028aefe9775c8
                        
# 2026-08-22 07:17:06  0.00B 设置工作目录为/sgl-workspace/sglang
WORKDIR /sgl-workspace/sglang
                        
# 2026-08-22 07:17:06  38.00B 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=13.0.3 TARGETARCH=amd64 GDRCOPY_VERSION=2.5.1 /bin/sh -c ln -sf /usr/lib/$(uname -m)-linux-gnu/libmlx5.so.1 /usr/lib/$(uname -m)-linux-gnu/libmlx5.so # buildkit
                        
# 2026-08-22 07:17:06  79.61KB 复制新文件或目录到容器中
COPY /usr/src/gdrdrv-2.5.1 /usr/src/gdrdrv-2.5.1 # buildkit
                        
# 2026-08-22 07:17:06  1.18MB 复制新文件或目录到容器中
COPY /usr/bin/gdrcopy_* /usr/bin/ # buildkit
                        
# 2026-08-22 07:17:06  0.00B 复制新文件或目录到容器中
COPY /usr/lib/libgdrapi.so* /usr/lib/ # buildkit
                        
# 2026-08-22 07:17:06  873.00B 复制新文件或目录到容器中
COPY /root/.cache/sglang /root/.cache/sglang # buildkit
                        
# 2026-08-22 07:17:06  5.74KB 复制新文件或目录到容器中
COPY /root/.cache/huggingface /root/.cache/huggingface # buildkit
                        
# 2026-08-22 07:17:06  8.08MB 复制新文件或目录到容器中
COPY /usr/local/bin/py-spy /usr/local/bin/py-spy # buildkit
                        
# 2026-08-22 07:17:06  162.00B 复制新文件或目录到容器中
COPY /usr/local/bin/sglang /usr/local/bin/sglang # buildkit
                        
# 2026-08-22 07:17:05  42.51MB 复制新文件或目录到容器中
COPY /usr/local/bin/sgl-model-gateway /usr/local/bin/sgl-model-gateway # buildkit
                        
# 2026-08-22 07:17:05  2.01GB 复制新文件或目录到容器中
COPY /sgl-workspace /sgl-workspace # buildkit
                        
# 2026-08-22 07:17:00  17.11GB 复制新文件或目录到容器中
COPY /usr/local/lib/python3.12/dist-packages /usr/local/lib/python3.12/dist-packages # buildkit
                        
# 2026-08-22 06:53:26  10.10MB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=13.0.3 TARGETARCH=amd64 GDRCOPY_VERSION=2.5.1 /bin/sh -c apt-get update && apt-get install -y --only-upgrade     binutils binutils-common binutils-x86-64-linux-gnu libbinutils     libctf0 libctf-nobfd0 libgprofng0 libsframe1     libgnutls30t64     libpam-modules libpam-modules-bin libpam-runtime libpam0g     libsqlite3-0 libtasn1-6     dpkg dpkg-dev libdpkg-perl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-08-22 06:53:21  0.00B 设置环境变量 LANG LANGUAGE LC_ALL
ENV LANG=en_US.UTF-8 LANGUAGE=en_US:en LC_ALL=en_US.UTF-8
                        
# 2026-08-22 06:53:21  50.39MB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=13.0.3 TARGETARCH=amd64 GDRCOPY_VERSION=2.5.1 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends locales     && locale-gen en_US.UTF-8     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-08-22 06:53:11  1.39GB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=13.0.3 TARGETARCH=amd64 GDRCOPY_VERSION=2.5.1 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends --allow-change-held-packages     python3.12-full     python3.12-dev     wget     ca-certificates     netcat-openbsd     curl     git     libopenmpi3     libnuma1     libibverbs1     libibumad3     librdmacm1     libnl-3-200     libnl-route-3-200     ibverbs-providers     libgoogle-glog0v6t64     libunwind8     libboost-system1.83.0     libboost-thread1.83.0     libboost-filesystem1.83.0     libgrpc++1.51t64     libprotobuf32t64     libhiredis1.1.0     libcurl4     libczmq4     libfabric1     libssl-dev     rdma-core     infiniband-diags     perftest     ninja-build     libnccl2     libnccl-dev     gnupg2     linux-libc-dev     && update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.12 2     && update-alternatives --set python3 /usr/bin/python3.12     && ln -sf /usr/bin/python3.12 /usr/bin/python     && wget -q https://bootstrap.pypa.io/get-pip.py     && python3 get-pip.py --break-system-packages     && rm get-pip.py     && python3 -m pip config set global.break-system-packages true     && rm -rf /var/lib/apt/lists/*     && apt-get clean # buildkit
                        
# 2026-08-22 06:53:11  0.00B 设置环境变量 PATH LD_LIBRARY_PATH
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/cuda/nvvm/bin LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2026-08-22 06:53:11  0.00B 设置环境变量 DEBIAN_FRONTEND CUDA_HOME GDRCOPY_HOME
ENV DEBIAN_FRONTEND=noninteractive CUDA_HOME=/usr/local/cuda GDRCOPY_HOME=/usr/src/gdrdrv-2.5.1/
                        
# 2026-08-22 06:53:11  0.00B 定义构建参数
ARG GDRCOPY_VERSION=2.5.1
                        
# 2026-08-22 06:53:11  0.00B 定义构建参数
ARG TARGETARCH=amd64
                        
# 2026-08-22 06:53:11  0.00B 定义构建参数
ARG CUDA_VERSION=13.0.3
                        
# 2026-04-15 01:37:55  463.98MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     ${NV_CUDNN_PACKAGE}     ${NV_CUDNN_PACKAGE_DEV}     ${NV_CUDNN_PACKAGE_DEV_HEADERS}     && apt-mark hold ${NV_CUDNN_PACKAGE_NAME}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-04-15 01:37:55  0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=9.14.0.64-1
                        
# 2026-04-15 01:37:55  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2026-04-15 01:37:55  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2026-04-15 01:37:55  0.00B 设置环境变量 NV_CUDNN_PACKAGE_DEV_HEADERS
ENV NV_CUDNN_PACKAGE_DEV_HEADERS=libcudnn9-headers-cuda-13=9.14.0.64-1
                        
# 2026-04-15 01:37:55  0.00B 设置环境变量 NV_CUDNN_PACKAGE_DEV
ENV NV_CUDNN_PACKAGE_DEV=libcudnn9-dev-cuda-13=9.14.0.64-1
                        
# 2026-04-15 01:37:55  0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn9-cuda-13=9.14.0.64-1
                        
# 2026-04-15 01:37:55  0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-13
                        
# 2026-04-15 01:37:55  0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=9.14.0.64-1
                        
# 2026-04-15 01:00:26  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2026-04-15 01:00:26  393.53KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
                        
# 2026-04-15 01:00:26  62.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c NSYS_PATH=$(find /opt/nvidia/nsight-compute -type f -name "nsys" 2>/dev/null | head -n 1);     if [ -n "$NSYS_PATH" ] && [ ! -f /usr/local/bin/nsys ]; then         ln -s "$NSYS_PATH" /usr/local/bin/nsys;     fi # buildkit
                        
# 2026-04-15 01:00:26  4.86GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-cudart-dev-13-0=${NV_CUDA_CUDART_DEV_VERSION}     cuda-command-line-tools-13-0=${NV_CUDA_LIB_VERSION}     cuda-minimal-build-13-0=${NV_CUDA_LIB_VERSION}     cuda-libraries-dev-13-0=${NV_CUDA_LIB_VERSION}     cuda-nvml-dev-13-0=${NV_NVML_DEV_VERSION}     ${NV_LIBNPP_DEV_PACKAGE}     libcusparse-dev-13-0=${NV_LIBCUSPARSE_DEV_VERSION}     ${NV_LIBCUBLAS_DEV_PACKAGE}     ${NV_LIBNCCL_DEV_PACKAGE}     ${NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-04-15 01:00:26  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2026-04-15 01:00:26  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2026-04-15 01:00:26  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.28.3-1+cuda13.0
                        
# 2026-04-15 01:00:26  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.28.3-1
                        
# 2026-04-15 01:00:26  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.28.3-1
                        
# 2026-04-15 01:00:26  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
                        
# 2026-04-15 01:00:26  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-13-0=13.0.3-1
                        
# 2026-04-15 01:00:26  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=13.0.3-1
                        
# 2026-04-15 01:00:26  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-13-0=13.1.1.3-1
                        
# 2026-04-15 01:00:26  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-13-0
                        
# 2026-04-15 01:00:26  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=13.1.1.3-1
                        
# 2026-04-15 01:00:26  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-13-0=13.0.1.2-1
                        
# 2026-04-15 01:00:26  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=13.0.1.2-1
                        
# 2026-04-15 01:00:26  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.6.3.3-1
                        
# 2026-04-15 01:00:26  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=13.0.87-1
                        
# 2026-04-15 01:00:26  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=13.0.96-1
                        
# 2026-04-15 01:00:26  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=13.0.3-1
                        
# 2026-04-15 00:50:19  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2026-04-15 00:50:19  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2026-04-15 00:50:19  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2026-04-15 00:50:19  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2026-04-15 00:50:19  241.08KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
                        
# 2026-04-15 00:50:19  2.12GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-libraries-13-0=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-13-0=${NV_NVTX_VERSION}     libcusparse-13-0=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-04-15 00:50:19  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2026-04-15 00:50:19  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2026-04-15 00:50:19  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.28.3-1+cuda13.0
                        
# 2026-04-15 00:50:19  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.28.3-1
                        
# 2026-04-15 00:50:19  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.28.3-1
                        
# 2026-04-15 00:50:19  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2026-04-15 00:50:19  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-13-0=13.1.1.3-1
                        
# 2026-04-15 00:50:19  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=13.1.1.3-1
                        
# 2026-04-15 00:50:19  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-13-0
                        
# 2026-04-15 00:50:19  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.6.3.3-1
                        
# 2026-04-15 00:50:19  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-13-0=13.0.1.2-1
                        
# 2026-04-15 00:50:19  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=13.0.1.2-1
                        
# 2026-04-15 00:50:19  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=13.0.85-1
                        
# 2026-04-15 00:50:19  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=13.0.3-1
                        
# 2026-04-15 00:31:25  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2026-04-15 00:31:25  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2026-04-15 00:31:25  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2026-04-15 00:31:25  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64
                        
# 2026-04-15 00:31:25  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2026-04-15 00:31:25  22.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/cuda/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
                        
# 2026-04-15 00:31:25  0.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update &&     if apt-cache policy cuda-compat-orin-13-0 2>/dev/null | grep -q "Candidate:"; then         apt-get install -y --no-install-recommends cuda-compat-orin-13-0;     fi &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-04-15 00:31:18  321.89MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update &&     if apt-cache policy cuda-compat-13-0 2>/dev/null | grep -q "Candidate:"; then         apt-get install -y --no-install-recommends cuda-compat-13-0;     fi &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-04-15 00:31:02  1.47MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-cudart-13-0=${NV_CUDA_CUDART_VERSION}     cuda-toolkit-13-0-config-common=${NV_CUDA_CUDART_VERSION}     cuda-toolkit-13-config-common=${NV_CUDA_CUDART_VERSION}     cuda-toolkit-config-common=${NV_CUDA_CUDART_VERSION}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-04-15 00:30:51  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=13.0.3
                        
# 2026-04-15 00:30:51  16.77MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     gnupg2 curl ca-certificates &&     curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/${NVARCH}/cuda-keyring_1.1-1_all.deb && dpkg -i cuda-keyring_1.1-1_all.deb &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-04-15 00:30:51  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2026-04-15 00:30:51  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2026-04-15 00:30:51  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=13.0.96-1
                        
# 2026-04-15 00:30:51  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=13.0 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=550,driver<551 brand=grid,driver>=550,driver<551 brand=tesla,driver>=550,driver<551 brand=nvidia,driver>=550,driver<551 brand=quadro,driver>=550,driver<551 brand=quadrortx,driver>=550,driver<551 brand=nvidiartx,driver>=550,driver<551 brand=vapps,driver>=550,driver<551 brand=vpc,driver>=550,driver<551 brand=vcs,driver>=550,driver<551 brand=vws,driver>=550,driver<551 brand=cloudgaming,driver>=550,driver<551 brand=unknown,driver>=565,driver<566 brand=grid,driver>=565,driver<566 brand=tesla,driver>=565,driver<566 brand=nvidia,driver>=565,driver<566 brand=quadro,driver>=565,driver<566 brand=quadrortx,driver>=565,driver<566 brand=nvidiartx,driver>=565,driver<566 brand=vapps,driver>=565,driver<566 brand=vpc,driver>=565,driver<566 brand=vcs,driver>=565,driver<566 brand=vws,driver>=565,driver<566 brand=cloudgaming,driver>=565,driver<566 brand=unknown,driver>=570,driver<571 brand=grid,driver>=570,driver<571 brand=tesla,driver>=570,driver<571 brand=nvidia,driver>=570,driver<571 brand=quadro,driver>=570,driver<571 brand=quadrortx,driver>=570,driver<571 brand=nvidiartx,driver>=570,driver<571 brand=vapps,driver>=570,driver<571 brand=vpc,driver>=570,driver<571 brand=vcs,driver>=570,driver<571 brand=vws,driver>=570,driver<571 brand=cloudgaming,driver>=570,driver<571 brand=unknown,driver>=575,driver<576 brand=grid,driver>=575,driver<576 brand=tesla,driver>=575,driver<576 brand=nvidia,driver>=575,driver<576 brand=quadro,driver>=575,driver<576 brand=quadrortx,driver>=575,driver<576 brand=nvidiartx,driver>=575,driver<576 brand=vapps,driver>=575,driver<576 brand=vpc,driver>=575,driver<576 brand=vcs,driver>=575,driver<576 brand=vws,driver>=575,driver<576 brand=cloudgaming,driver>=575,driver<576
                        
# 2026-04-15 00:30:51  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2026-04-03 23:16:43  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2026-04-03 23:16:42  78.14MB 
/bin/sh -c #(nop) ADD file:0f6466425c4f1800aae9224ddc3437b90c829cea58fb8edd5dde2f1eb0ee28da in / 
                        
# 2026-04-03 23:16:40  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=24.04
                        
# 2026-04-03 23:16:40  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2026-04-03 23:16:40  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.5.18-runtime"
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    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2026-08-21T23:17:06.448425675Z",
    "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/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/cuda/nvvm/bin",
            "NVARCH=x86_64",
            "NVIDIA_REQUIRE_CUDA=cuda\u003e=13.0 brand=unknown,driver\u003e=535,driver\u003c536 brand=grid,driver\u003e=535,driver\u003c536 brand=tesla,driver\u003e=535,driver\u003c536 brand=nvidia,driver\u003e=535,driver\u003c536 brand=quadro,driver\u003e=535,driver\u003c536 brand=quadrortx,driver\u003e=535,driver\u003c536 brand=nvidiartx,driver\u003e=535,driver\u003c536 brand=vapps,driver\u003e=535,driver\u003c536 brand=vpc,driver\u003e=535,driver\u003c536 brand=vcs,driver\u003e=535,driver\u003c536 brand=vws,driver\u003e=535,driver\u003c536 brand=cloudgaming,driver\u003e=535,driver\u003c536 brand=unknown,driver\u003e=550,driver\u003c551 brand=grid,driver\u003e=550,driver\u003c551 brand=tesla,driver\u003e=550,driver\u003c551 brand=nvidia,driver\u003e=550,driver\u003c551 brand=quadro,driver\u003e=550,driver\u003c551 brand=quadrortx,driver\u003e=550,driver\u003c551 brand=nvidiartx,driver\u003e=550,driver\u003c551 brand=vapps,driver\u003e=550,driver\u003c551 brand=vpc,driver\u003e=550,driver\u003c551 brand=vcs,driver\u003e=550,driver\u003c551 brand=vws,driver\u003e=550,driver\u003c551 brand=cloudgaming,driver\u003e=550,driver\u003c551 brand=unknown,driver\u003e=565,driver\u003c566 brand=grid,driver\u003e=565,driver\u003c566 brand=tesla,driver\u003e=565,driver\u003c566 brand=nvidia,driver\u003e=565,driver\u003c566 brand=quadro,driver\u003e=565,driver\u003c566 brand=quadrortx,driver\u003e=565,driver\u003c566 brand=nvidiartx,driver\u003e=565,driver\u003c566 brand=vapps,driver\u003e=565,driver\u003c566 brand=vpc,driver\u003e=565,driver\u003c566 brand=vcs,driver\u003e=565,driver\u003c566 brand=vws,driver\u003e=565,driver\u003c566 brand=cloudgaming,driver\u003e=565,driver\u003c566 brand=unknown,driver\u003e=570,driver\u003c571 brand=grid,driver\u003e=570,driver\u003c571 brand=tesla,driver\u003e=570,driver\u003c571 brand=nvidia,driver\u003e=570,driver\u003c571 brand=quadro,driver\u003e=570,driver\u003c571 brand=quadrortx,driver\u003e=570,driver\u003c571 brand=nvidiartx,driver\u003e=570,driver\u003c571 brand=vapps,driver\u003e=570,driver\u003c571 brand=vpc,driver\u003e=570,driver\u003c571 brand=vcs,driver\u003e=570,driver\u003c571 brand=vws,driver\u003e=570,driver\u003c571 brand=cloudgaming,driver\u003e=570,driver\u003c571 brand=unknown,driver\u003e=575,driver\u003c576 brand=grid,driver\u003e=575,driver\u003c576 brand=tesla,driver\u003e=575,driver\u003c576 brand=nvidia,driver\u003e=575,driver\u003c576 brand=quadro,driver\u003e=575,driver\u003c576 brand=quadrortx,driver\u003e=575,driver\u003c576 brand=nvidiartx,driver\u003e=575,driver\u003c576 brand=vapps,driver\u003e=575,driver\u003c576 brand=vpc,driver\u003e=575,driver\u003c576 brand=vcs,driver\u003e=575,driver\u003c576 brand=vws,driver\u003e=575,driver\u003c576 brand=cloudgaming,driver\u003e=575,driver\u003c576",
            "NV_CUDA_CUDART_VERSION=13.0.96-1",
            "CUDA_VERSION=13.0.3",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NV_CUDA_LIB_VERSION=13.0.3-1",
            "NV_NVTX_VERSION=13.0.85-1",
            "NV_LIBNPP_VERSION=13.0.1.2-1",
            "NV_LIBNPP_PACKAGE=libnpp-13-0=13.0.1.2-1",
            "NV_LIBCUSPARSE_VERSION=12.6.3.3-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-13-0",
            "NV_LIBCUBLAS_VERSION=13.1.1.3-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-13-0=13.1.1.3-1",
            "NV_LIBNCCL_PACKAGE_NAME=libnccl2",
            "NV_LIBNCCL_PACKAGE_VERSION=2.28.3-1",
            "NCCL_VERSION=2.28.3-1",
            "NV_LIBNCCL_PACKAGE=libnccl2=2.28.3-1+cuda13.0",
            "NVIDIA_PRODUCT_NAME=CUDA",
            "NV_CUDA_CUDART_DEV_VERSION=13.0.96-1",
            "NV_NVML_DEV_VERSION=13.0.87-1",
            "NV_LIBCUSPARSE_DEV_VERSION=12.6.3.3-1",
            "NV_LIBNPP_DEV_VERSION=13.0.1.2-1",
            "NV_LIBNPP_DEV_PACKAGE=libnpp-dev-13-0=13.0.1.2-1",
            "NV_LIBCUBLAS_DEV_VERSION=13.1.1.3-1",
            "NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-13-0",
            "NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-13-0=13.1.1.3-1",
            "NV_CUDA_NSIGHT_COMPUTE_VERSION=13.0.3-1",
            "NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-13-0=13.0.3-1",
            "NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev",
            "NV_LIBNCCL_DEV_PACKAGE_VERSION=2.28.3-1",
            "NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.28.3-1+cuda13.0",
            "LIBRARY_PATH=/usr/local/cuda/lib64/stubs",
            "NV_CUDNN_VERSION=9.14.0.64-1",
            "NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-13",
            "NV_CUDNN_PACKAGE=libcudnn9-cuda-13=9.14.0.64-1",
            "NV_CUDNN_PACKAGE_DEV=libcudnn9-dev-cuda-13=9.14.0.64-1",
            "NV_CUDNN_PACKAGE_DEV_HEADERS=libcudnn9-headers-cuda-13=9.14.0.64-1",
            "DEBIAN_FRONTEND=noninteractive",
            "CUDA_HOME=/usr/local/cuda",
            "GDRCOPY_HOME=/usr/src/gdrdrv-2.5.1/",
            "LANG=en_US.UTF-8",
            "LANGUAGE=en_US:en",
            "LC_ALL=en_US.UTF-8",
            "SGLANG_BUILD_COMMIT=71de97b264b04dcd514cf904003028aefe9775c8",
            "SGLANG_BUILD_URL=https://github.com/sgl-project/sglang/actions/runs/32520522498",
            "SGLANG_IMAGE_TAG=lmsysorg/sglang:v0.5.18-runtime"
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        "Cmd": [
            "/bin/bash"
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        "ArgsEscaped": true,
        "Image": "",
        "Volumes": null,
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        "Entrypoint": [
            "/opt/nvidia/nvidia_entrypoint.sh"
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            "ai.sglang.image.tag": "lmsysorg/sglang:v0.5.18-runtime",
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            "maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
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            "org.opencontainers.image.source": "https://github.com/sgl-project/sglang",
            "org.opencontainers.image.url": "https://github.com/sgl-project/sglang/actions/runs/32520522498",
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    "Architecture": "amd64",
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}

更多版本

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

linux/amd64 docker.io18.94GB2025-02-10 00:38
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docker.io/lmsysorg/sglang:v0.4.2.post4-cu125

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

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