镜像构建历史
# 2026-07-14 12:59:00 0.00B 设置默认要执行的命令
CMD ["/bin/bash"]
# 2026-07-14 12:59:00 0.00B 添加元数据标签
LABEL org.opencontainers.image.source=https://github.com/sgl-project/sglang org.opencontainers.image.revision=0b3bb0cbe31873994c9f989fddfe2f87ca839fdd org.opencontainers.image.version=lmsysorg/sglang:v0.5.15.post1-runtime org.opencontainers.image.url=https://github.com/sgl-project/sglang/actions/runs/29305409662 ai.sglang.build.commit=0b3bb0cbe31873994c9f989fddfe2f87ca839fdd ai.sglang.build.url=https://github.com/sgl-project/sglang/actions/runs/29305409662 ai.sglang.image.tag=lmsysorg/sglang:v0.5.15.post1-runtime
# 2026-07-14 12:59:00 0.00B 设置环境变量 SGLANG_BUILD_COMMIT SGLANG_BUILD_URL SGLANG_IMAGE_TAG
ENV SGLANG_BUILD_COMMIT=0b3bb0cbe31873994c9f989fddfe2f87ca839fdd SGLANG_BUILD_URL=https://github.com/sgl-project/sglang/actions/runs/29305409662 SGLANG_IMAGE_TAG=lmsysorg/sglang:v0.5.15.post1-runtime
# 2026-07-14 12:59:00 0.00B 定义构建参数
ARG SGLANG_IMAGE_TAG=lmsysorg/sglang:v0.5.15.post1-runtime
# 2026-07-14 12:59:00 0.00B 定义构建参数
ARG SGLANG_BUILD_URL=https://github.com/sgl-project/sglang/actions/runs/29305409662
# 2026-07-14 12:59:00 0.00B 定义构建参数
ARG SGLANG_BUILD_COMMIT=0b3bb0cbe31873994c9f989fddfe2f87ca839fdd
# 2026-07-14 12:59:00 0.00B 设置工作目录为/sgl-workspace/sglang
WORKDIR /sgl-workspace/sglang
# 2026-07-14 12:59:00 39.00B 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=13.0.1 TARGETARCH=arm64 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
# 2026-07-14 12:59:00 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
# 2026-07-14 12:59:00 1.39MB 复制新文件或目录到容器中
COPY /usr/bin/gdrcopy_* /usr/bin/ # buildkit
# 2026-07-14 12:59:00 0.00B 复制新文件或目录到容器中
COPY /usr/lib/libgdrapi.so* /usr/lib/ # buildkit
# 2026-07-14 12:59:00 873.00B 复制新文件或目录到容器中
COPY /root/.cache/sglang /root/.cache/sglang # buildkit
# 2026-07-14 12:59:00 5.74KB 复制新文件或目录到容器中
COPY /root/.cache/huggingface /root/.cache/huggingface # buildkit
# 2026-07-14 12:59:00 7.54MB 复制新文件或目录到容器中
COPY /usr/local/bin/py-spy /usr/local/bin/py-spy # buildkit
# 2026-07-14 12:59:00 162.00B 复制新文件或目录到容器中
COPY /usr/local/bin/sglang /usr/local/bin/sglang # buildkit
# 2026-07-14 12:59:00 36.01MB 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
# 2026-07-14 12:59:00 1.26GB 复制新文件或目录到容器中
COPY /sgl-workspace /sgl-workspace # buildkit
# 2026-07-14 12:58:58 12.51GB 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
# 2026-07-14 12:45:56 36.74MB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=13.0.1 TARGETARCH=arm64 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
# 2026-07-14 12:45:48 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
# 2026-07-14 12:45:48 57.03MB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=13.0.1 TARGETARCH=arm64 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
# 2026-07-14 12:45:39 1.06GB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=13.0.1 TARGETARCH=arm64 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 libssl3 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
# 2026-07-14 12:45:39 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
# 2026-07-14 12:45:39 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/
# 2026-07-14 12:45:39 0.00B 定义构建参数
ARG GDRCOPY_VERSION=2.5.1
# 2026-07-14 12:45:39 0.00B 定义构建参数
ARG TARGETARCH=arm64
# 2026-07-14 12:45:39 0.00B 定义构建参数
ARG CUDA_VERSION=13.0.1
# 2025-09-09 01:35:26 507.02MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=arm64 /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
# 2025-09-09 01:35:26 0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=9.13.0.50-1
# 2025-09-09 01:35:26 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2025-09-09 01:35:26 0.00B 定义构建参数
ARG TARGETARCH
# 2025-09-09 01:35:26 0.00B 设置环境变量 NV_CUDNN_PACKAGE_DEV_HEADERS
ENV NV_CUDNN_PACKAGE_DEV_HEADERS=libcudnn9-headers-cuda-13=9.13.0.50-1
# 2025-09-09 01:35:26 0.00B 设置环境变量 NV_CUDNN_PACKAGE_DEV
ENV NV_CUDNN_PACKAGE_DEV=libcudnn9-dev-cuda-13=9.13.0.50-1
# 2025-09-09 01:35:26 0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn9-cuda-13=9.13.0.50-1
# 2025-09-09 01:35:26 0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-13
# 2025-09-09 01:35:26 0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=9.13.0.50-1
# 2025-09-09 01:29:51 0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
# 2025-09-09 01:29:51 390.70KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=arm64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
# 2025-09-09 01:29:51 4.04GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=arm64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-dev-13-0=${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
# 2025-09-09 01:29:51 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2025-09-09 01:29:51 0.00B 定义构建参数
ARG TARGETARCH
# 2025-09-09 01:29:51 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
# 2025-09-09 01:29:51 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.28.3-1
# 2025-09-09 01:29:51 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.28.3-1
# 2025-09-09 01:29:51 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
# 2025-09-09 01:29:51 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=13.0.1-1
# 2025-09-09 01:29:51 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=13.0.1-1
# 2025-09-09 01:29:51 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-13-0=13.0.2.14-1
# 2025-09-09 01:29:51 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=13.0.2.14-1
# 2025-09-09 01:29:51 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-13-0
# 2025-09-09 01:29:51 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
# 2025-09-09 01:29:51 0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=13.0.1.2-1
# 2025-09-09 01:29:51 0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.6.3.3-1
# 2025-09-09 01:29:51 0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=13.0.87-1
# 2025-09-09 01:29:51 0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=13.0.88-1
# 2025-09-09 01:29:51 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=13.0.1-1
# 2025-09-09 00:42:52 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
# 2025-09-09 00:42:52 0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
# 2025-09-09 00:42:52 2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
# 2025-09-09 00:42:52 3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
# 2025-09-09 00:42:51 239.43KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=arm64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
# 2025-09-09 00:42:50 2.13GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=arm64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-13-0=${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
# 2025-09-09 00:42:50 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2025-09-09 00:42:50 0.00B 定义构建参数
ARG TARGETARCH
# 2025-09-09 00:42:50 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.28.3-1+cuda13.0
# 2025-09-09 00:42:50 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.28.3-1
# 2025-09-09 00:42:50 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.28.3-1
# 2025-09-09 00:42:50 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
# 2025-09-09 00:42:50 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-13-0=13.0.2.14-1
# 2025-09-09 00:42:50 0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=13.0.2.14-1
# 2025-09-09 00:42:50 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-13-0
# 2025-09-09 00:42:50 0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.6.3.3-1
# 2025-09-09 00:42:50 0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-13-0=13.0.1.2-1
# 2025-09-09 00:42:50 0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=13.0.1.2-1
# 2025-09-09 00:42:50 0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=13.0.85-1
# 2025-09-09 00:42:50 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=13.0.1-1
# 2025-09-09 00:33:32 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2025-09-09 00:33:32 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2025-09-09 00:33:32 17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
# 2025-09-09 00:33:32 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
# 2025-09-09 00:33:32 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
# 2025-09-09 00:33:32 22.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=arm64 /bin/sh -c echo "/usr/local/cuda/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
# 2025-09-09 00:33:32 303.47MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=arm64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-13-0=${NV_CUDA_CUDART_VERSION} cuda-compat-13-0 && rm -rf /var/lib/apt/lists/* # buildkit
# 2025-09-09 00:29:43 0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=13.0.1
# 2025-09-09 00:29:43 11.01MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=arm64 /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/ubuntu2404/${NVARCH}/3bf863cc.pub | apt-key add - && echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit
# 2025-09-09 00:29:43 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2025-09-09 00:29:43 0.00B 定义构建参数
ARG TARGETARCH
# 2025-09-09 00:29:43 0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=13.0.88-1
# 2025-09-09 00:29:43 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
# 2025-09-09 00:29:43 0.00B 设置环境变量 NVARCH
ENV NVARCH=sbsa
# 2025-08-19 22:38:35 0.00B
/bin/sh -c #(nop) CMD ["/bin/bash"]
# 2025-08-19 22:38:35 100.71MB
/bin/sh -c #(nop) ADD file:b7517e9b93ca90114b86d36fa835651ac45b762e188edb92fc804391a8989e04 in /
# 2025-08-19 22:38:32 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.version=24.04
# 2025-08-19 22:38:32 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
# 2025-08-19 22:38:31 0.00B
/bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
# 2025-08-19 22:38:31 0.00B
/bin/sh -c #(nop) ARG RELEASE
镜像信息
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"RepoTags": [
"lmsysorg/sglang:v0.5.15.post1-cu130-runtime",
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