logo
docker.io/lmsysorg/sglang:v0.2.0-cu124
linux/amd64 docker.io
sglang 是一个基于 LMSYS 的 Shell Grammar Language 环境容器镜像。
2504
浏览次数
16.10GB
镜像大小
国内镜像
swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.2.0-cu124
源镜像
docker.io/lmsysorg/sglang:v0.2.0-cu124
镜像ID
sha256:479ca97e783dc316c0a0ca67155f1878cb78e7e22a6080943b0162e7e45e883e
镜像 TAG
v0.2.0-cu124
镜像大小
16.10GB
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
2024-07-25T15:24:59.605397614Z
同步时间
2024-07-26 19:20
浏览量
2504 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
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:v0.2.0-cu124
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.2.0-cu124  docker.io/lmsysorg/sglang:v0.2.0-cu124

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.2.0-cu124
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.2.0-cu124  docker.io/lmsysorg/sglang:v0.2.0-cu124

Shell快速替换命令

sed -i 's#lmsysorg/sglang:v0.2.0-cu124#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.2.0-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:v0.2.0-cu124 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.2.0-cu124  docker.io/lmsysorg/sglang:v0.2.0-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:v0.2.0-cu124 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.2.0-cu124  docker.io/lmsysorg/sglang:v0.2.0-cu124'

镜像构建历史


# 2024-07-25 23:24:59  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=interactive
                        
# 2024-07-25 23:24:59  8.58GB 执行命令并创建新的镜像层
RUN |2 CUDA_VERSION=12.4.1 PYTHON_VERSION=3 /bin/sh -c pip3 --no-cache-dir install --upgrade pip     && pip3 --no-cache-dir install "sglang[all]"     && pip3 --no-cache-dir install flashinfer -i https://flashinfer.ai/whl/cu121/torch2.3/ # buildkit
                        
# 2024-07-25 23:21:59  0.00B 设置工作目录为/sgl-workspace
WORKDIR /sgl-workspace
                        
# 2024-07-25 23:21:55  80.83MB 执行命令并创建新的镜像层
RUN |2 CUDA_VERSION=12.4.1 PYTHON_VERSION=3 /bin/sh -c apt-get update -y     && apt-get install -y python3-pip git curl sudo # buildkit
                        
# 2024-07-25 23:21:47  170.92MB 执行命令并创建新的镜像层
RUN |2 CUDA_VERSION=12.4.1 PYTHON_VERSION=3 /bin/sh -c echo 'tzdata tzdata/Areas select America' | debconf-set-selections     && echo 'tzdata tzdata/Zones/America select Los_Angeles' | debconf-set-selections     && apt-get update -y     && apt-get install -y ccache software-properties-common     && add-apt-repository ppa:deadsnakes/ppa     && apt-get update -y     && apt-get install -y python${PYTHON_VERSION} python${PYTHON_VERSION}-dev python${PYTHON_VERSION}-venv python3-pip     && if [ "${PYTHON_VERSION}" != "3" ]; then update-alternatives --install /usr/bin/python3 python3 /usr/bin/python${PYTHON_VERSION} 1; fi     && python3 --version     && python3 -m pip --version     && rm -rf /var/lib/apt/lists/*     && apt-get clean # buildkit
                        
# 2024-07-25 23:21:47  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2024-07-25 23:21:47  0.00B 定义构建参数
ARG PYTHON_VERSION=3
                        
# 2024-07-25 23:21:47  0.00B 定义构建参数
ARG CUDA_VERSION=12.4.1
                        
# 2024-04-23 07:54:42  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2024-04-23 07:54:42  389.87KB 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 07:54:41  4.98GB 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-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 07:54:41  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-04-23 07:54:41  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-04-23 07:54:41  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 07:54:41  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.21.5-1
                        
# 2024-04-23 07:54:41  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 07:54:41  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
                        
# 2024-04-23 07:54:41  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 07:54:41  0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=12.4.127-1
                        
# 2024-04-23 07:54:41  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 07:54:41  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 07:54:41  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 07:54:41  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 07:54:41  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 07:54:41  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 07:54:41  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 07:54:41  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 07:54:41  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=12.4.127-1
                        
# 2024-04-23 07:54:41  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 07:54:41  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.4.1-1
                        
# 2024-04-23 07:46:26  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2024-04-23 07:46:26  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2024-04-23 07:46:26  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 07:46:26  263.02KB 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 07:46:26  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 07:46:26  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-04-23 07:46:26  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-04-23 07:46:26  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 07:46:26  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.21.5-1
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.21.5-1
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2024-04-23 07:46:26  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 07:46:26  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.4.5.8-1
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-4
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.3.1.170-1
                        
# 2024-04-23 07:46:26  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 07:46:26  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.2.5.30-1
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.4.127-1
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.4.1-1
                        
# 2024-04-23 07:42:28  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2024-04-23 07:42:28  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2024-04-23 07:42:28  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2024-04-23 07:42:28  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 07:42:28  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 07:42:28  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 07:42:28  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 07:42:16  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.4.1
                        
# 2024-04-23 07:42:16  10.57MB 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/ubuntu2204/${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
                        
# 2024-04-23 07:42:16  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-04-23 07:42:16  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-04-23 07:42:16  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-4
                        
# 2024-04-23 07:42:16  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.4.127-1
                        
# 2024-04-23 07:42:16  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 07:42:16  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2024-04-11 02:52:04  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2024-04-11 02:52:04  77.86MB 
/bin/sh -c #(nop) ADD file:3bd10da0673e2e72cb06a1f64a9df49a36341df39b0f762e3d1b38ee4de296fa in / 
                        
# 2024-04-11 02:52:02  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2024-04-11 02:52:02  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2024-04-11 02:52:02  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2024-04-11 02:52:02  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

{
    "Id": "sha256:479ca97e783dc316c0a0ca67155f1878cb78e7e22a6080943b0162e7e45e883e",
    "RepoTags": [
        "lmsysorg/sglang:v0.2.0-cu124",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.2.0-cu124"
    ],
    "RepoDigests": [
        "lmsysorg/sglang@sha256:dc052ffa517d95319cc8beb6eb7ef816f6ebf11f082f0693887a30790ca97dab",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang@sha256:70ff357d1d7de501a5f19110b8cb590d510ce2141c5fac60ecbfa06dbca846d6"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2024-07-25T15:24:59.605397614Z",
    "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",
            "NVARCH=x86_64",
            "NVIDIA_REQUIRE_CUDA=cuda\u003e=12.4 brand=tesla,driver\u003e=470,driver\u003c471 brand=unknown,driver\u003e=470,driver\u003c471 brand=nvidia,driver\u003e=470,driver\u003c471 brand=nvidiartx,driver\u003e=470,driver\u003c471 brand=geforce,driver\u003e=470,driver\u003c471 brand=geforcertx,driver\u003e=470,driver\u003c471 brand=quadro,driver\u003e=470,driver\u003c471 brand=quadrortx,driver\u003e=470,driver\u003c471 brand=titan,driver\u003e=470,driver\u003c471 brand=titanrtx,driver\u003e=470,driver\u003c471 brand=tesla,driver\u003e=525,driver\u003c526 brand=unknown,driver\u003e=525,driver\u003c526 brand=nvidia,driver\u003e=525,driver\u003c526 brand=nvidiartx,driver\u003e=525,driver\u003c526 brand=geforce,driver\u003e=525,driver\u003c526 brand=geforcertx,driver\u003e=525,driver\u003c526 brand=quadro,driver\u003e=525,driver\u003c526 brand=quadrortx,driver\u003e=525,driver\u003c526 brand=titan,driver\u003e=525,driver\u003c526 brand=titanrtx,driver\u003e=525,driver\u003c526 brand=tesla,driver\u003e=535,driver\u003c536 brand=unknown,driver\u003e=535,driver\u003c536 brand=nvidia,driver\u003e=535,driver\u003c536 brand=nvidiartx,driver\u003e=535,driver\u003c536 brand=geforce,driver\u003e=535,driver\u003c536 brand=geforcertx,driver\u003e=535,driver\u003c536 brand=quadro,driver\u003e=535,driver\u003c536 brand=quadrortx,driver\u003e=535,driver\u003c536 brand=titan,driver\u003e=535,driver\u003c536 brand=titanrtx,driver\u003e=535,driver\u003c536",
            "NV_CUDA_CUDART_VERSION=12.4.127-1",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-4",
            "CUDA_VERSION=12.4.1",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NV_CUDA_LIB_VERSION=12.4.1-1",
            "NV_NVTX_VERSION=12.4.127-1",
            "NV_LIBNPP_VERSION=12.2.5.30-1",
            "NV_LIBNPP_PACKAGE=libnpp-12-4=12.2.5.30-1",
            "NV_LIBCUSPARSE_VERSION=12.3.1.170-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-4",
            "NV_LIBCUBLAS_VERSION=12.4.5.8-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-12-4=12.4.5.8-1",
            "NV_LIBNCCL_PACKAGE_NAME=libnccl2",
            "NV_LIBNCCL_PACKAGE_VERSION=2.21.5-1",
            "NCCL_VERSION=2.21.5-1",
            "NV_LIBNCCL_PACKAGE=libnccl2=2.21.5-1+cuda12.4",
            "NVIDIA_PRODUCT_NAME=CUDA",
            "NV_CUDA_CUDART_DEV_VERSION=12.4.127-1",
            "NV_NVML_DEV_VERSION=12.4.127-1",
            "NV_LIBCUSPARSE_DEV_VERSION=12.3.1.170-1",
            "NV_LIBNPP_DEV_VERSION=12.2.5.30-1",
            "NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-4=12.2.5.30-1",
            "NV_LIBCUBLAS_DEV_VERSION=12.4.5.8-1",
            "NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-4",
            "NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-4=12.4.5.8-1",
            "NV_CUDA_NSIGHT_COMPUTE_VERSION=12.4.1-1",
            "NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-4=12.4.1-1",
            "NV_NVPROF_VERSION=12.4.127-1",
            "NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-4=12.4.127-1",
            "NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev",
            "NV_LIBNCCL_DEV_PACKAGE_VERSION=2.21.5-1",
            "NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.21.5-1+cuda12.4",
            "LIBRARY_PATH=/usr/local/cuda/lib64/stubs",
            "DEBIAN_FRONTEND=interactive"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/sgl-workspace",
        "Entrypoint": [
            "/opt/nvidia/nvidia_entrypoint.sh"
        ],
        "OnBuild": null,
        "Labels": {
            "maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "22.04"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 16103268809,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/fc69c2f75c86926833080ab31a7b95ebec2ec0a6c00aa78d030da104f8965899/diff:/var/lib/docker/overlay2/415903d08c2854c051a06f99b9d41324be119449c26e496ee3da2552c9dcfe9c/diff:/var/lib/docker/overlay2/ca06637affa7bc241e1366d04a21fa05dfaa94e6fc4b157e9438e6429c122744/diff:/var/lib/docker/overlay2/49dca7ba97fbf44875c505b570c9c549ab018f08735956131198e2985a56b612/diff:/var/lib/docker/overlay2/f3e51135d6ff89ccdf87b8f2bb43b5220becbf3629af15f3ffeff2b538417681/diff:/var/lib/docker/overlay2/d20832e756c090b2c15a95c9549f43a587bd1343a7b397d303c461b54dcf2458/diff:/var/lib/docker/overlay2/a4f8b8f60ba21a2877a8aab75a195c7ef82bce7892bdabb78c85f2d27dd40318/diff:/var/lib/docker/overlay2/68073e8b644997335ddc7eb26905edbc7fe8a4d5091b15c350b61ae76bbfc585/diff:/var/lib/docker/overlay2/eb5fd77b0e412a62dad1b1f86e96ddd24b2947dad09efa476df1963833079ca1/diff:/var/lib/docker/overlay2/64ac3bf1511363dbc19afd829a87c3b1714a1a3f3a36abbf35de3d218590a7f3/diff:/var/lib/docker/overlay2/e02b6fc48a88addf8c9cd352fad36d97e18c176a319dbf77442c91f256b2df6b/diff:/var/lib/docker/overlay2/4bdf870521eeb3790aaf5fe2615523a8ff12723a50af31c94d45666ab0364656/diff:/var/lib/docker/overlay2/1eb63d875f1d8558708eef8acd0393e13389760ffb24391bfaee39b5ad66b682/diff:/var/lib/docker/overlay2/fdd83ef62d2fc91a3b2d5010b42539f65a284ec591962d6aaf1408f69798857d/diff",
            "MergedDir": "/var/lib/docker/overlay2/ca33cb558779e50f65ee16d0cbc72f0ebb76d1d96d324698e5373243cd6ee767/merged",
            "UpperDir": "/var/lib/docker/overlay2/ca33cb558779e50f65ee16d0cbc72f0ebb76d1d96d324698e5373243cd6ee767/diff",
            "WorkDir": "/var/lib/docker/overlay2/ca33cb558779e50f65ee16d0cbc72f0ebb76d1d96d324698e5373243cd6ee767/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:e0a9f5911802534ba097660206feabeb0247a81e409029167b30e2e1f2803b57",
            "sha256:47654eeadbc543f1dd44ebb41c6ca0954b9f1813efabdcd46b0e7f17ac4e9fd1",
            "sha256:efe2b79b53de08e199a2ce107d83adc0cbdff94f605e03f5ef51f3df3ae31cfd",
            "sha256:46d54736d31f4bfeb749544e22e8611dba11128bdb2cebb820a3b452b50e7d52",
            "sha256:809d3bb9c80fb3d31d4c061ba0b38ba4e83b6329e33c2cb2bbf27251a8e527c6",
            "sha256:1ffbbe19418f9726ebb365371ef96637c68f9d25af3f76a4f01f760e87fb31be",
            "sha256:1b30dd39de2709bc00beebf392ea1f931d5f037d08e0f675a50855385cddad93",
            "sha256:89fd878224a017aead1d4c83d5c62749307aa6f1a9e22087144ef339c3df8c1e",
            "sha256:2b4acda8678c6f7ae0075eabb2c0c21078b80671800996ad2cf730f15fa0ef26",
            "sha256:5fb5b17c5835e3e44f7c48dfc15f29504febad945f26dcfa11470d0070b166e4",
            "sha256:b7fa3c6c5beea49f65d51f65f06a4a8af32b48f128c02bea3822e5afaf4ebf23",
            "sha256:88df44d85a916a95bea394dbd34a4ead15c4d983681524edfd74a1a053933392",
            "sha256:2bed0654c7c105d96a08c957ee357ad12baf30b080f067cb5d010b05a01b7b81",
            "sha256:a134260df6f09b8cc239143debbe6bbebd76ddf368af6d8b761bddb01d25f175",
            "sha256:88ed9e4aab29bbf0fae0e1256e4b097ae7d1474251e26fb355892eec17b18cfd"
        ]
    },
    "Metadata": {
        "LastTagTime": "2024-07-26T18:30:49.009948926+08:00"
    }
}

更多版本

docker.io/lmsysorg/sglang:v0.2.0-cu124

linux/amd64 docker.io16.10GB2024-07-26 19:20
2503

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

linux/amd64 docker.io15.88GB2024-09-12 00:53
1277

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

linux/amd64 docker.io16.12GB2024-09-13 01:38
768

docker.io/lmsysorg/sglang:latest

linux/amd64 docker.io15.95GB2024-10-29 01:12
8566

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

linux/amd64 docker.io16.59GB2024-12-22 06:13
699

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

linux/amd64 docker.io19.60GB2025-01-01 00:27
944

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

linux/amd64 docker.io19.63GB2025-01-01 00:55
997

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

linux/amd64 docker.io19.62GB2025-01-25 01:15
1105

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

linux/amd64 docker.io18.94GB2025-02-08 01:46
932

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

linux/amd64 docker.io18.94GB2025-02-10 00:38
866

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

linux/amd64 docker.io18.37GB2025-02-12 01:31
1394

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

linux/amd64 docker.io18.36GB2025-02-23 18:37
1423

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

linux/amd64 docker.io50.09GB2025-03-04 00:51
1173

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

linux/amd64 docker.io18.36GB2025-03-06 01:02
781

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

linux/amd64 docker.io18.40GB2025-03-10 05:17
535

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

linux/amd64 docker.io18.61GB2025-03-11 00:39
745

docker.io/lmsysorg/sglang:dev

linux/amd64 docker.io19.61GB2025-03-11 17:56
2936

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

linux/amd64 docker.io18.61GB2025-03-12 03:08
662

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

linux/amd64 docker.io15.66GB2025-03-22 00:30
696

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

linux/amd64 docker.io15.66GB2025-03-22 00:52
583

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

linux/amd64 docker.io14.38GB2025-04-01 00:21
734

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

linux/amd64 docker.io14.39GB2025-04-02 01:05
732

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

linux/amd64 docker.io14.75GB2025-04-10 01:09
808

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

linux/amd64 docker.io14.75GB2025-04-11 01:25
701

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

linux/amd64 docker.io15.46GB2025-04-15 00:38
964

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

linux/amd64 docker.io13.71GB2025-04-25 05:03
765

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

linux/amd64 docker.io14.20GB2025-04-26 01:11
623

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

linux/amd64 docker.io14.64GB2025-05-01 01:02
804

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

linux/amd64 docker.io56.19GB2025-05-01 01:40
1238

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

linux/amd64 docker.io15.18GB2025-05-02 00:35
670

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

linux/amd64 docker.io14.98GB2025-05-14 03:19
763

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

linux/amd64 docker.io14.75GB2025-05-22 02:29
505

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

linux/amd64 docker.io14.79GB2025-05-22 02:47
584

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

linux/amd64 docker.io14.20GB2025-05-22 03:19
524

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

linux/amd64 docker.io14.20GB2025-05-22 03:33
604

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

linux/amd64 docker.io14.80GB2025-05-22 03:41
474

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

linux/amd64 docker.io14.87GB2025-05-23 01:52
1023

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

linux/amd64 docker.io14.78GB2025-05-27 02:46
1262

docker.io/lmsysorg/sglang:deepep

linux/amd64 docker.io16.69GB2025-05-27 06:52
1583

docker.io/lmsysorg/sglang:blackwell

linux/amd64 docker.io28.29GB2025-06-12 03:24
1793

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

linux/amd64 docker.io19.58GB2025-06-13 02:35
1651

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

linux/amd64 docker.io19.59GB2025-06-18 03:32
2082

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

linux/amd64 docker.io27.88GB2026-01-23 03:32
1181

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

linux/arm64 docker.io13.52GB2026-02-28 01:49
573

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

linux/arm64 docker.io13.38GB2026-03-02 00:25
2418

docker.io/lmsysorg/sglang:dsv32-a3

linux/arm64 docker.io19.05GB2026-03-02 01:07
479

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

linux/arm64 docker.io13.69GB2026-04-02 03:10
577

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

linux/arm64 docker.io13.85GB2026-04-08 21:49
344

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

linux/arm64 docker.io13.85GB2026-04-12 01:20
530

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

linux/amd64 docker.io33.94GB2026-04-30 02:18
429

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

linux/arm64 docker.io14.02GB2026-05-08 01:35
301

docker.io/lmsysorg/sglang:v0.5.11

linux/amd64 docker.io33.35GB2026-05-12 00:42
727

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

linux/amd64 docker.io33.35GB2026-05-21 13:33
387

docker.io/lmsysorg/sglang:v0.5.12

linux/amd64 docker.io33.58GB2026-05-24 00:50
775

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

linux/arm64 docker.io14.07GB2026-05-29 00:53
238

docker.io/lmsysorg/sglang:v0.5.9

linux/amd64 docker.io38.69GB2026-06-03 02:01
1371

docker.io/lmsysorg/sglang:spark

linux/arm64 docker.io25.52GB2026-06-03 03:47
203

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

linux/amd64 docker.io33.60GB2026-06-11 03:30
1459

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

linux/amd64 docker.io30.06GB2026-06-13 02:38
258

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

linux/amd64 docker.io24.51GB2026-06-16 03:20
279

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

linux/amd64 docker.io28.04GB2026-06-18 01:14
843

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

linux/amd64 docker.io37.04GB2026-06-26 01:50
448

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

linux/amd64 docker.io3.95GB2026-06-29 16:03
226

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

linux/amd64 docker.io13.71GB2026-06-30 00:36
228

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

linux/amd64 docker.io29.19GB2026-07-01 01:50
397

docker.io/lmsysorg/sglang:dev-cu13

linux/amd64 docker.io29.45GB2026-07-08 02:02
314

docker.io/lmsysorg/sglang:v0.5.15

linux/amd64 docker.io29.61GB2026-07-15 01:19
297

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

linux/amd64 docker.io25.92GB2026-07-17 00:58
183

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

linux/amd64 docker.io29.62GB2026-07-19 01:18
309

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

linux/arm64 docker.io22.06GB2026-07-19 01:50
181

docker.io/lmsysorg/sglang:dev-cu13-glm52-nvfp4

linux/amd64 docker.io29.44GB2026-07-20 00:00
137

docker.io/lmsysorg/sglang:inkling-cu12

linux/amd64 docker.io33.79GB2026-07-21 04:01
128

docker.io/lmsysorg/sglang:deepseek-v4-hopper

linux/amd64 docker.io58.37GB2026-07-21 05:18
143

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

linux/arm64 docker.io16.01GB2026-07-22 02:05
118

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

linux/amd64 docker.io27.68GB2026-08-14 00:22
231

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

linux/amd64 docker.io27.68GB2026-08-25 01:04
75

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

linux/amd64 docker.io28.49GB2026-08-28 04:15
47
检测到您正在使用广告拦截插件,本站为公益站点,依赖广告维持运转 🙏 查看如何关闭 ×