docker.io/lmsysorg/sglang:v0.5.12-cu130-runtime linux/amd64

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.5.12-cu130-runtime
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.5.12-cu130-runtime  docker.io/lmsysorg/sglang:v0.5.12-cu130-runtime

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.5.12-cu130-runtime
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.5.12-cu130-runtime  docker.io/lmsysorg/sglang:v0.5.12-cu130-runtime

Shell快速替换命令

sed -i 's#lmsysorg/sglang:v0.5.12-cu130-runtime#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.5.12-cu130-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:v0.5.12-cu130-runtime && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.5.12-cu130-runtime  docker.io/lmsysorg/sglang:v0.5.12-cu130-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:v0.5.12-cu130-runtime && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.5.12-cu130-runtime  docker.io/lmsysorg/sglang:v0.5.12-cu130-runtime'

镜像构建历史

# 2026-05-17 03:21:04  0.00B 设置默认要执行的命令
CMD ["/bin/bash"]
                        
# 2026-05-17 03:21:04  0.00B 添加元数据标签
LABEL org.opencontainers.image.source=https://github.com/sgl-project/sglang org.opencontainers.image.revision=127b9e3283f7c2a43234b852ff5c9f1796d53624 org.opencontainers.image.version=lmsysorg/sglang:v0.5.12-runtime org.opencontainers.image.url=https://github.com/sgl-project/sglang/actions/runs/25968087996 ai.sglang.build.commit=127b9e3283f7c2a43234b852ff5c9f1796d53624 ai.sglang.build.url=https://github.com/sgl-project/sglang/actions/runs/25968087996 ai.sglang.image.tag=lmsysorg/sglang:v0.5.12-runtime
                        
# 2026-05-17 03:21:04  0.00B 设置环境变量 SGLANG_BUILD_COMMIT SGLANG_BUILD_URL SGLANG_IMAGE_TAG
ENV SGLANG_BUILD_COMMIT=127b9e3283f7c2a43234b852ff5c9f1796d53624 SGLANG_BUILD_URL=https://github.com/sgl-project/sglang/actions/runs/25968087996 SGLANG_IMAGE_TAG=lmsysorg/sglang:v0.5.12-runtime
                        
# 2026-05-17 03:21:04  0.00B 定义构建参数
ARG SGLANG_IMAGE_TAG=lmsysorg/sglang:v0.5.12-runtime
                        
# 2026-05-17 03:21:04  0.00B 定义构建参数
ARG SGLANG_BUILD_URL=https://github.com/sgl-project/sglang/actions/runs/25968087996
                        
# 2026-05-17 03:21:04  0.00B 定义构建参数
ARG SGLANG_BUILD_COMMIT=127b9e3283f7c2a43234b852ff5c9f1796d53624
                        
# 2026-05-17 03:21:04  0.00B 设置工作目录为/sgl-workspace/sglang
WORKDIR /sgl-workspace/sglang
                        
# 2026-05-17 03:21:04  38.00B 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=13.0.1 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
                        
# 2026-05-17 03:21:04  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
                        
# 2026-05-17 03:21:04  1.18MB 复制新文件或目录到容器中
COPY /usr/bin/gdrcopy_* /usr/bin/ # buildkit
                        
# 2026-05-17 03:21:04  0.00B 复制新文件或目录到容器中
COPY /usr/lib/libgdrapi.so* /usr/lib/ # buildkit
                        
# 2026-05-17 03:21:04  1.42KB 复制新文件或目录到容器中
COPY /root/.cache/sglang /root/.cache/sglang # buildkit
                        
# 2026-05-17 03:21:04  919.34MB 复制新文件或目录到容器中
COPY /root/.cache/huggingface /root/.cache/huggingface # buildkit
                        
# 2026-05-17 03:21:01  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
                        
# 2026-05-17 03:21:01  42.39MB 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
                        
# 2026-05-17 03:21:00  1.33GB 复制新文件或目录到容器中
COPY /sgl-workspace /sgl-workspace # buildkit
                        
# 2026-05-17 03:20:57  18.54GB 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
                        
# 2026-05-17 03:06:23  28.82MB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=13.0.1 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
                        
# 2026-05-17 03:06:15  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
                        
# 2026-05-17 03:06:15  50.41MB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=13.0.1 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
                        
# 2026-05-17 03:06:04  1.23GB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=13.0.1 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     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
                        
# 2026-05-17 03:06:04  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
                        
# 2026-05-17 03:06:04  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/
                        
# 2026-05-17 03:06:04  0.00B 定义构建参数
ARG GDRCOPY_VERSION=2.5.1
                        
# 2026-05-17 03:06:04  0.00B 定义构建参数
ARG TARGETARCH=amd64
                        
# 2026-05-17 03:06:04  0.00B 定义构建参数
ARG CUDA_VERSION=13.0.1
                        
# 2025-09-09 01:30:50  461.65MB 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
                        
# 2025-09-09 01:30:50  0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=9.13.0.50-1
                        
# 2025-09-09 01:30:50  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-09-09 01:30:50  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-09-09 01:30:50  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 01:30:50  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 01:30:50  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 01:30:50  0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-13
                        
# 2025-09-09 01:30:50  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  392.24KB 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
                        
# 2025-09-09 01:29:51  4.92GB 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
                        
# 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_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_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_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 00:36:59  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2025-09-09 00:36:59  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2025-09-09 00:36:59  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 00:36:59  240.06KB 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
                        
# 2025-09-09 00:36:59  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
                        
# 2025-09-09 00:36:59  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-09-09 00:36:59  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-09-09 00:36:59  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 00:36:59  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.28.3-1
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.28.3-1
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2025-09-09 00:36:59  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 00:36:59  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=13.0.2.14-1
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-13-0
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.6.3.3-1
                        
# 2025-09-09 00:36:59  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 00:36:59  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=13.0.1.2-1
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=13.0.85-1
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=13.0.1-1
                        
# 2025-09-09 00:25:14  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2025-09-09 00:25:14  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2025-09-09 00:25:14  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2025-09-09 00:25:14  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 00:25:14  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 00:25:14  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
                        
# 2025-09-09 00:25:14  322.86MB 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-compat-13-0     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-09-09 00:23:24  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=13.0.1
                        
# 2025-09-09 00:23:24  10.26MB 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/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 00:23:24  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-09-09 00:23:24  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-09-09 00:23:24  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=13.0.88-1
                        
# 2025-09-09 00:23:24  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 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 00:23:24  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2025-08-19 22:37:01  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-08-19 22:37:00  78.12MB 
/bin/sh -c #(nop) ADD file:e67907c77897d27192314f6c4fa0112b6f7dce3e127500516535cc50fe736c92 in / 
                        
# 2025-08-19 22:36:58  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=24.04
                        
# 2025-08-19 22:36:58  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2025-08-19 22:36:58  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2025-08-19 22:36:58  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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    "Comment": "buildkit.dockerfile.v0",
    "Created": "2026-05-16T19:21:04.634827161Z",
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    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
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