logo
docker.io/lmsysorg/sglang:v0.3.0-cu124
linux/amd64 docker.io
sglang 是一个基于 LMSYS 的 Shell Grammar Language 环境容器镜像。
861
浏览次数
16.12GB
镜像大小
国内镜像
swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.3.0-cu124
源镜像
docker.io/lmsysorg/sglang:v0.3.0-cu124
镜像ID
sha256:c17b48f712252cbe110ffabbc20d055727f7b8022b3f4fab9add49c2a5b50c5e
镜像 TAG
v0.3.0-cu124
镜像大小
16.12GB
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
2024-09-03T20:43:40.881616183Z
同步时间
2024-09-13 01:38
浏览量
861 次
贡献者
⚙️ 环境变量 39
KeyValue
PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 0
NVARCH=x86_64 1
NVIDIA_REQUIRE_CUDA=cuda>=12.4 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526 brand=tesla,driver>=535,driver<536 brand=unknown,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=geforce,driver>=535,driver<536 brand=geforcertx,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=titan,driver>=535,driver<536 brand=titanrtx,driver>=535,driver<536 2
NV_CUDA_CUDART_VERSION=12.4.127-1 3
NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-4 4
CUDA_VERSION=12.4.1 5
LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 6
NVIDIA_VISIBLE_DEVICES=all 7
NVIDIA_DRIVER_CAPABILITIES=compute,utility 8
NV_CUDA_LIB_VERSION=12.4.1-1 9
NV_NVTX_VERSION=12.4.127-1 10
NV_LIBNPP_VERSION=12.2.5.30-1 11
NV_LIBNPP_PACKAGE=libnpp-12-4=12.2.5.30-1 12
NV_LIBCUSPARSE_VERSION=12.3.1.170-1 13
NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-4 14
NV_LIBCUBLAS_VERSION=12.4.5.8-1 15
NV_LIBCUBLAS_PACKAGE=libcublas-12-4=12.4.5.8-1 16
NV_LIBNCCL_PACKAGE_NAME=libnccl2 17
NV_LIBNCCL_PACKAGE_VERSION=2.21.5-1 18
NCCL_VERSION=2.21.5-1 19
NV_LIBNCCL_PACKAGE=libnccl2=2.21.5-1+cuda12.4 20
NVIDIA_PRODUCT_NAME=CUDA 21
NV_CUDA_CUDART_DEV_VERSION=12.4.127-1 22
NV_NVML_DEV_VERSION=12.4.127-1 23
NV_LIBCUSPARSE_DEV_VERSION=12.3.1.170-1 24
NV_LIBNPP_DEV_VERSION=12.2.5.30-1 25
NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-4=12.2.5.30-1 26
NV_LIBCUBLAS_DEV_VERSION=12.4.5.8-1 27
NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-4 28
NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-4=12.4.5.8-1 29
NV_CUDA_NSIGHT_COMPUTE_VERSION=12.4.1-1 30
NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-4=12.4.1-1 31
NV_NVPROF_VERSION=12.4.127-1 32
NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-4=12.4.127-1 33
NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev 34
NV_LIBNCCL_DEV_PACKAGE_VERSION=2.21.5-1 35
NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.21.5-1+cuda12.4 36
LIBRARY_PATH=/usr/local/cuda/lib64/stubs 37
DEBIAN_FRONTEND=interactive 38
🏷️ 镜像标签 3
KeyValue
NVIDIA CORPORATION <cudatools@nvidia.com> maintainer
ubuntu org.opencontainers.image.ref.name
20.04 org.opencontainers.image.version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.3.0-cu124
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.3.0-cu124  docker.io/lmsysorg/sglang:v0.3.0-cu124

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.3.0-cu124
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.3.0-cu124  docker.io/lmsysorg/sglang:v0.3.0-cu124

Shell快速替换命令

sed -i 's#lmsysorg/sglang:v0.3.0-cu124#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.3.0-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:v0.3.0-cu124 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.3.0-cu124  docker.io/lmsysorg/sglang:v0.3.0-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:v0.3.0-cu124 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.3.0-cu124  docker.io/lmsysorg/sglang:v0.3.0-cu124'

镜像构建历史


# 2024-09-04 04:43:40  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=interactive
                        
# 2024-09-04 04:43:40  0.00B 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 cache purge # buildkit
                        
# 2024-09-04 04:43:40  1.85GB 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 if [ "$CUDA_VERSION" = "12.1.1" ]; then         export CUDA_IDENTIFIER=cu121 &&         python3 -m pip --no-cache-dir install flashinfer -i https://flashinfer.ai/whl/cu121/torch2.4/;     elif [ "$CUDA_VERSION" = "12.4.1" ]; then         export CUDA_IDENTIFIER=cu124 &&         python3 -m pip --no-cache-dir install flashinfer -i https://flashinfer.ai/whl/cu124/torch2.4/;     elif [ "$CUDA_VERSION" = "11.8.0" ]; then         export CUDA_IDENTIFIER=cu118 &&         python3 -m pip install torch==2.4.0 --index-url https://download.pytorch.org/whl/cu118 &&         python3 -m pip --no-cache-dir install flashinfer -i https://flashinfer.ai/whl/cu118/torch2.4/;     else         echo "Unsupported CUDA version: $CUDA_VERSION" && exit 1;     fi # buildkit
                        
# 2024-09-04 04:43:14  0.00B 定义构建参数
ARG CUDA_VERSION
                        
# 2024-09-04 04:43:14  6.77GB 执行命令并创建新的镜像层
RUN |1 BUILD_TYPE=all /bin/sh -c python3 -m pip install --upgrade pip setuptools wheel html5lib six     && git clone --depth=1 https://github.com/sgl-project/sglang.git     && cd sglang     && if [ "$BUILD_TYPE" = "srt" ]; then          python3 -m pip --no-cache-dir install -e "python[srt]";        else          python3 -m pip --no-cache-dir install -e "python[all]";        fi # buildkit
                        
# 2024-09-04 04:34:26  0.00B 设置工作目录为/sgl-workspace
WORKDIR /sgl-workspace
                        
# 2024-09-04 04:34:26  242.33MB 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     && add-apt-repository ppa:deadsnakes/ppa -y && apt update     && apt install python3.10 python3.10-dev -y     && update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.8 1 && update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.10 2     && update-alternatives --set python3 /usr/bin/python3.10 && apt install python3.10-distutils -y     && apt install curl git sudo -y     && curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py && python3 get-pip.py     && python3 --version     && python3 -m pip --version     && rm -rf /var/lib/apt/lists/*     && apt clean # buildkit
                        
# 2024-09-04 04:34:26  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2024-09-04 04:34:26  0.00B 定义构建参数
ARG BUILD_TYPE=all
                        
# 2024-04-23 07:55:35  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2024-04-23 07:55:35  383.63KB 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
                        
# 2024-04-23 07:55:34  4.96GB 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     libtinfo5 libncursesw5     cuda-cudart-dev-12-4=${NV_CUDA_CUDART_DEV_VERSION}     cuda-command-line-tools-12-4=${NV_CUDA_LIB_VERSION}     cuda-minimal-build-12-4=${NV_CUDA_LIB_VERSION}     cuda-libraries-dev-12-4=${NV_CUDA_LIB_VERSION}     cuda-nvml-dev-12-4=${NV_NVML_DEV_VERSION}     ${NV_NVPROF_DEV_PACKAGE}     ${NV_LIBNPP_DEV_PACKAGE}     libcusparse-dev-12-4=${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
                        
# 2024-04-23 07:55:34  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-04-23 07:55:34  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-04-23 07:55:34  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.21.5-1+cuda12.4
                        
# 2024-04-23 07:55:34  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.21.5-1
                        
# 2024-04-23 07:55:34  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.21.5-1
                        
# 2024-04-23 07:55:34  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
                        
# 2024-04-23 07:55:34  0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-4=12.4.127-1
                        
# 2024-04-23 07:55:34  0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=12.4.127-1
                        
# 2024-04-23 07:55:34  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-4=12.4.1-1
                        
# 2024-04-23 07:55:34  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.4.1-1
                        
# 2024-04-23 07:55:34  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-4=12.4.5.8-1
                        
# 2024-04-23 07:55:34  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-4
                        
# 2024-04-23 07:55:34  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=12.4.5.8-1
                        
# 2024-04-23 07:55:34  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-4=12.2.5.30-1
                        
# 2024-04-23 07:55:34  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=12.2.5.30-1
                        
# 2024-04-23 07:55:34  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.3.1.170-1
                        
# 2024-04-23 07:55:34  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=12.4.127-1
                        
# 2024-04-23 07:55:34  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=12.4.127-1
                        
# 2024-04-23 07:55:34  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.4.1-1
                        
# 2024-04-23 07:47:16  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2024-04-23 07:47:16  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2024-04-23 07:47:16  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2024-04-23 07:47:16  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2024-04-23 07:47:16  261.10KB 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
                        
# 2024-04-23 07:47:15  2.05GB 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-12-4=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-12-4=${NV_NVTX_VERSION}     libcusparse-12-4=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-04-23 07:47:15  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-04-23 07:47:15  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-04-23 07:47:15  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.21.5-1+cuda12.4
                        
# 2024-04-23 07:47:15  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.21.5-1
                        
# 2024-04-23 07:47:15  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.21.5-1
                        
# 2024-04-23 07:47:15  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2024-04-23 07:47:15  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-4=12.4.5.8-1
                        
# 2024-04-23 07:47:15  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.4.5.8-1
                        
# 2024-04-23 07:47:15  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-4
                        
# 2024-04-23 07:47:15  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.3.1.170-1
                        
# 2024-04-23 07:47:15  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-4=12.2.5.30-1
                        
# 2024-04-23 07:47:15  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.2.5.30-1
                        
# 2024-04-23 07:47:15  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.4.127-1
                        
# 2024-04-23 07:47:15  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.4.1-1
                        
# 2024-04-23 07:42:36  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2024-04-23 07:42:36  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2024-04-23 07:42:36  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2024-04-23 07:42:36  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2024-04-23 07:42:36  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
                        
# 2024-04-23 07:42:36  46.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /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
                        
# 2024-04-23 07:42:36  155.93MB 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-12-4=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-04-23 07:42:24  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.4.1
                        
# 2024-04-23 07:42:24  18.32MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     gnupg2 curl ca-certificates &&     curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${NVARCH}/3bf863cc.pub | apt-key add - &&     echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-04-23 07:42:24  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-04-23 07:42:24  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-04-23 07:42:24  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-4
                        
# 2024-04-23 07:42:24  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.4.127-1
                        
# 2024-04-23 07:42:24  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.4 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526 brand=tesla,driver>=535,driver<536 brand=unknown,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=geforce,driver>=535,driver<536 brand=geforcertx,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=titan,driver>=535,driver<536 brand=titanrtx,driver>=535,driver<536
                        
# 2024-04-23 07:42:24  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2024-04-11 02:50:37  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2024-04-11 02:50:37  72.81MB 
/bin/sh -c #(nop) ADD file:ea2128e23dce0162557abadd80656bd5ae047d573095d1d4323eb4154490dfdc in / 
                        
# 2024-04-11 02:50:35  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=20.04
                        
# 2024-04-11 02:50:35  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2024-04-11 02:50:35  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2024-04-11 02:50:35  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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}

更多版本

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linux/amd64 docker.io16.10GB2024-07-26 19:20
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linux/amd64 docker.io18.94GB2025-02-10 00:38
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linux/amd64 docker.io18.37GB2025-02-12 01:31
1512

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

linux/amd64 docker.io18.36GB2025-02-23 18:37
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docker.io/lmsysorg/sglang:v0.4.3.post2-cu125

linux/amd64 docker.io18.36GB2025-03-06 01:02
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linux/amd64 docker.io14.38GB2025-04-01 00:21
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docker.io/lmsysorg/sglang:v0.4.4.post4-cu125

linux/amd64 docker.io14.75GB2025-05-22 02:29
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docker.io/lmsysorg/sglang:v0.4.5-cu118

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

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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-cu124

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

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

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

linux/amd64 docker.io14.98GB2025-05-14 03:19
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docker.io/lmsysorg/sglang:v0.4.6.post4-cu124

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

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379

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

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linux/amd64 docker.io33.58GB2026-05-24 00:50
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308

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

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393

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1644

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

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429

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

linux/amd64 docker.io28.04GB2026-06-18 01:14
1035

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

linux/amd64 docker.io37.04GB2026-06-26 01:50
576

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

linux/amd64 docker.io29.19GB2026-07-01 01:50
549

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

linux/amd64 docker.io3.95GB2026-06-29 16:03
383

docker.io/lmsysorg/sglang:v0.5.15

linux/amd64 docker.io29.61GB2026-07-15 01:19
494

docker.io/lmsysorg/sglang:v0.5.15-cu130-runtime

linux/amd64 docker.io25.92GB2026-07-17 00:58
349

docker.io/lmsysorg/sglang:v0.5.15.post1

linux/amd64 docker.io29.62GB2026-07-19 01:18
559

docker.io/lmsysorg/sglang:v0.5.15.post1-cann9.0.0-910b

linux/arm64 docker.io16.01GB2026-07-22 02:05
223

docker.io/lmsysorg/sglang:v0.5.15.post1-cu130-runtime

linux/arm64 docker.io22.06GB2026-07-19 01:50
290

docker.io/lmsysorg/sglang:v0.5.16-runtime

linux/amd64 docker.io26.13GB2026-10-14 00:40
83

docker.io/lmsysorg/sglang:v0.5.17-cu130-runtime

linux/amd64 docker.io27.68GB2026-08-14 00:22
395

docker.io/lmsysorg/sglang:v0.5.17-runtime

linux/amd64 docker.io27.68GB2026-08-25 01:04
223

docker.io/lmsysorg/sglang:v0.5.18-runtime

linux/amd64 docker.io28.49GB2026-08-28 04:15
390

docker.io/lmsysorg/sglang:v0.5.20

linux/amd64 docker.io36.20GB2026-10-29 02:19
15

docker.io/lmsysorg/sglang:v0.5.20-cu130

linux/amd64 docker.io36.20GB2026-10-23 01:09
62

docker.io/lmsysorg/sglang:v0.5.22

linux/amd64 docker.io38.11GB2026-10-23 00:30
98

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

linux/amd64 docker.io27.88GB2026-01-23 03:32
1329

docker.io/lmsysorg/sglang:v0.5.9

linux/amd64 docker.io38.69GB2026-06-03 02:01
1676

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

linux/arm64 docker.io13.38GB2026-03-02 00:25
2704
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