ℹ️
注意:这是一个 latest 标签镜像

latest 并不代表最新版本,本站同步时间存在延迟,无法保证此镜像与上游最新版本一致。
生产环境建议使用明确的版本号(如 v1.2.3),避免因版本不一致导致问题。 了解更多 →

logo
docker.io/lmsysorg/sglang:latest-cu130
linux/amd64 docker.io 尘 贡献
sglang 是一个基于 LMSYS 的 Shell Grammar Language 环境容器镜像。
21
浏览次数
38.11GB
镜像大小
国内镜像
swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:latest-cu130
源镜像
docker.io/lmsysorg/sglang:latest-cu130
镜像ID
sha256:81726dc9e63a9c6778396c8176a7203716a527f28b2bbb6b0eac661a0b050afb
镜像 TAG
latest-cu130
镜像大小
38.11GB
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/sglang
OS/平台
linux/amd64
镜像创建
2026-10-16T00:28:17.028718025Z
同步时间
2026-10-30 02:06
浏览量
21 次
贡献者
avatar 尘
⚙️ 环境变量 55
KeyValue
PATH=/root/.cargo/bin:/opt/sglang/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/nvidia/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
FLASHINFER_VERSION=0.7.1 43
UV_PYTHON_INSTALL_DIR=/opt/python 44
UV_PYTHON_PREFERENCE=only-managed 45
UV_LINK_MODE=copy 46
VIRTUAL_ENV=/opt/sglang 47
LANG=en_US.UTF-8 48
LANGUAGE=en_US:en 49
LC_ALL=en_US.UTF-8 50
SGLANG_RUST_BUILD_MODE=never 51
SGLANG_BUILD_COMMIT=baa9befa381511cd4d56f83980951e5a45fffc6d 52
SGLANG_BUILD_URL=https://github.com/sgl-project/sglang/actions/runs/38824883379 53
SGLANG_IMAGE_TAG=lmsysorg/sglang:v0.5.22 54
🏷️ 镜像标签 9
KeyValue
baa9befa381511cd4d56f83980951e5a45fffc6d ai.sglang.build.commit
https://github.com/sgl-project/sglang/actions/runs/38824883379 ai.sglang.build.url
lmsysorg/sglang:v0.5.22 ai.sglang.image.tag
9.14.0.64-1 com.nvidia.cudnn.version
NVIDIA CORPORATION <cudatools@nvidia.com> maintainer
baa9befa381511cd4d56f83980951e5a45fffc6d org.opencontainers.image.revision
https://github.com/sgl-project/sglang org.opencontainers.image.source
https://github.com/sgl-project/sglang/actions/runs/38824883379 org.opencontainers.image.url
lmsysorg/sglang:v0.5.22 org.opencontainers.image.version

Docker拉取命令

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

Containerd拉取命令

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

Shell快速替换命令

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

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:latest-cu130 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:latest-cu130  docker.io/lmsysorg/sglang:latest-cu130'

镜像构建历史


# 2026-10-16 08:28:17  0.00B 添加元数据标签
LABEL org.opencontainers.image.source=https://github.com/sgl-project/sglang org.opencontainers.image.revision=baa9befa381511cd4d56f83980951e5a45fffc6d org.opencontainers.image.version=lmsysorg/sglang:v0.5.22 org.opencontainers.image.url=https://github.com/sgl-project/sglang/actions/runs/38824883379 ai.sglang.build.commit=baa9befa381511cd4d56f83980951e5a45fffc6d ai.sglang.build.url=https://github.com/sgl-project/sglang/actions/runs/38824883379 ai.sglang.image.tag=lmsysorg/sglang:v0.5.22
                        
# 2026-10-16 08:28:17  0.00B 设置环境变量 SGLANG_BUILD_COMMIT SGLANG_BUILD_URL SGLANG_IMAGE_TAG
ENV SGLANG_BUILD_COMMIT=baa9befa381511cd4d56f83980951e5a45fffc6d SGLANG_BUILD_URL=https://github.com/sgl-project/sglang/actions/runs/38824883379 SGLANG_IMAGE_TAG=lmsysorg/sglang:v0.5.22
                        
# 2026-10-16 08:28:17  0.00B 定义构建参数
ARG SGLANG_IMAGE_TAG=lmsysorg/sglang:v0.5.22
                        
# 2026-10-16 08:28:17  0.00B 定义构建参数
ARG SGLANG_BUILD_URL=https://github.com/sgl-project/sglang/actions/runs/38824883379
                        
# 2026-10-16 08:28:17  0.00B 定义构建参数
ARG SGLANG_BUILD_COMMIT=baa9befa381511cd4d56f83980951e5a45fffc6d
                        
# 2026-10-16 08:28:17  0.00B 设置工作目录为/sgl-workspace/sglang
WORKDIR /sgl-workspace/sglang
                        
# 2026-10-16 08:28:16  65.65MB 执行命令并创建新的镜像层
RUN |17 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.9 SGL_VERSION=0.5.22 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.7.1 MOONCAKE_VERSION=0.3.13.post1 MSCCLPP_VERSION=sglang-v0.10.1 PYTHON_VERSION=3.12 CUDA_VERSION=13.0.3 /bin/sh -c uv pip install --reinstall /tmp/gateway_wheels/*.whl     && rm -rf /tmp/gateway_wheels # buildkit
                        
# 2026-10-16 08:28:16  17.89MB 复制新文件或目录到容器中
COPY /build/gateway_wheels /tmp/gateway_wheels # buildkit
                        
# 2026-10-16 08:28:16  42.64MB 复制新文件或目录到容器中
COPY /build/sgl-model-gateway-bin /opt/sglang/bin/sgl-model-gateway # buildkit
                        
# 2026-10-16 08:28:15  0.00B 设置环境变量 SGLANG_RUST_BUILD_MODE
ENV SGLANG_RUST_BUILD_MODE=never
                        
# 2026-10-16 08:28:15  3.39GB 执行命令并创建新的镜像层
RUN |17 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.9 SGL_VERSION=0.5.22 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.7.1 MOONCAKE_VERSION=0.3.13.post1 MSCCLPP_VERSION=sglang-v0.10.1 PYTHON_VERSION=3.12 CUDA_VERSION=13.0.3 /bin/sh -c cd /sgl-workspace/sglang     && uv pip install --no-deps -e "python[${BUILD_TYPE}]"     && kernels lock python     && ( success=0;          if [ "$(uname -m)" = "aarch64" ]; then              echo "Skipping kernels-community/sgl-flash-attn3 cubin download on aarch64 (no variants published upstream); kernels will be JIT-compiled at runtime";              success=1;          else              for i in 1 2 3; do                  echo "Attempt $i/3: downloading sgl-kernel cubins..." &&                  kernels download python &&                  success=1 && break;                  echo "sgl-kernel cubin download failed, retrying in 30s..." && sleep 30;              done;              if [ "$success" != "1" ]; then                  echo "WARNING: no matching sgl-flash-attn3 cubin variant for this torch+CUDA; kernels will be JIT-compiled at runtime";                  success=1;              fi;          fi;          [ "$success" = "1" ] )     && mkdir -p /root/.cache/huggingface /root/.cache/sglang     && ( if [ -f python/kernels.lock ]; then mv python/kernels.lock /root/.cache/sglang/; fi )     && ( find /opt/sglang/lib/python3.12/site-packages -type d -name "__pycache__" -exec rm -rf {} + 2>/dev/null || true ) # buildkit
                        
# 2026-10-16 08:18:48  181.99MB 执行命令并创建新的镜像层
RUN |17 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.9 SGL_VERSION=0.5.22 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.7.1 MOONCAKE_VERSION=0.3.13.post1 MSCCLPP_VERSION=sglang-v0.10.1 PYTHON_VERSION=3.12 CUDA_VERSION=13.0.3 /bin/sh -c if [ "$BRANCH_TYPE" = "local" ]; then         cp -r /tmp/local_src /sgl-workspace/sglang;     elif [ "$USE_LATEST_SGLANG" = "1" ]; then         git clone --depth=1 https://github.com/sgl-project/sglang.git /sgl-workspace/sglang;     elif [ -z "$SGL_VERSION" ]; then         echo "ERROR: SGL_VERSION must be set when USE_LATEST_SGLANG=0 and BRANCH_TYPE!=local" && exit 1;     else         git clone --depth=1 --branch v${SGL_VERSION} https://github.com/sgl-project/sglang.git /sgl-workspace/sglang;     fi     && rm -rf /tmp/local_src # buildkit
                        
# 2026-10-16 08:18:40  591.30MB 复制新文件或目录到容器中
COPY /src /tmp/local_src # buildkit
                        
# 2026-10-16 08:18:38  0.00B 设置工作目录为/sgl-workspace
WORKDIR /sgl-workspace
                        
# 2026-10-16 08:18:38  0.00B 定义构建参数
ARG USE_LATEST_SGLANG
                        
# 2026-10-16 08:18:38  0.00B 定义构建参数
ARG SGL_VERSION=0.5.22
                        
# 2026-10-16 08:18:38  0.00B 定义构建参数
ARG CUDA_VERSION=13.0.3
                        
# 2026-10-16 08:18:38  0.00B 定义构建参数
ARG BUILD_TYPE=all
                        
# 2026-10-16 08:18:38  0.00B 定义构建参数
ARG BRANCH_TYPE
                        
# 2026-10-16 08:18:38  11.99MB 执行命令并创建新的镜像层
RUN |17 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.9 SGL_VERSION=0.5.22 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.7.1 MOONCAKE_VERSION=0.3.13.post1 MSCCLPP_VERSION=sglang-v0.10.1 PYTHON_VERSION=3.12 CUDA_VERSION=13.0.3 /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
                        
# 2026-10-16 08:18:32  19.67MB 执行命令并创建新的镜像层
RUN |17 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.9 SGL_VERSION=0.5.22 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.7.1 MOONCAKE_VERSION=0.3.13.post1 MSCCLPP_VERSION=sglang-v0.10.1 PYTHON_VERSION=3.12 CUDA_VERSION=13.0.3 /bin/sh -c uv pip install --upgrade "urllib3>=2.6.3" "pillow>=12.1.1" # buildkit
                        
# 2026-10-16 08:18:32  387.00B 复制新文件或目录到容器中
COPY docker/configs/.zshrc /root/.zshrc # buildkit
                        
# 2026-10-16 08:18:32  607.00B 复制新文件或目录到容器中
COPY docker/configs/opt/.gitconfig /opt/sglang/.gitconfig # buildkit
                        
# 2026-10-16 08:18:32  682.00B 复制新文件或目录到容器中
COPY docker/configs/opt/.tmux.conf /opt/sglang/.tmux.conf # buildkit
                        
# 2026-10-16 08:18:32  914.00B 复制新文件或目录到容器中
COPY docker/configs/opt/.vimrc /opt/sglang/.vimrc # buildkit
                        
# 2026-10-16 08:18:32  409.00B 复制新文件或目录到容器中
COPY --chown=root:root --chmod=755 docker/configs/yank /usr/local/bin/yank # buildkit
                        
# 2026-10-16 08:18:32  1.02GB 执行命令并创建新的镜像层
RUN |17 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.9 SGL_VERSION=0.5.22 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.7.1 MOONCAKE_VERSION=0.3.13.post1 MSCCLPP_VERSION=sglang-v0.10.1 PYTHON_VERSION=3.12 CUDA_VERSION=13.0.3 /bin/sh -c uv pip install --prerelease=allow --index-strategy unsafe-best-match         --extra-index-url https://pypi.nvidia.com/ ai-dynamo # buildkit
                        
# 2026-10-16 08:18:24  237.82MB 执行命令并创建新的镜像层
RUN |17 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.9 SGL_VERSION=0.5.22 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.7.1 MOONCAKE_VERSION=0.3.13.post1 MSCCLPP_VERSION=sglang-v0.10.1 PYTHON_VERSION=3.12 CUDA_VERSION=13.0.3 /bin/sh -c uv pip install nixl nixl-cu13 --no-deps     && uv pip install "cuda-python>=13,<14" # buildkit
                        
# 2026-10-16 08:18:22  253.34MB 执行命令并创建新的镜像层
RUN |17 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.9 SGL_VERSION=0.5.22 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.7.1 MOONCAKE_VERSION=0.3.13.post1 MSCCLPP_VERSION=sglang-v0.10.1 PYTHON_VERSION=3.12 CUDA_VERSION=13.0.3 /bin/sh -c uv pip install --reinstall --no-deps         "nvidia-nccl-cu13==${SGL_NCCL_VERSION}" # buildkit
                        
# 2026-10-16 08:18:20  179.63MB 执行命令并创建新的镜像层
RUN |17 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.9 SGL_VERSION=0.5.22 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.7.1 MOONCAKE_VERSION=0.3.13.post1 MSCCLPP_VERSION=sglang-v0.10.1 PYTHON_VERSION=3.12 CUDA_VERSION=13.0.3 /bin/sh -c uv pip install -c /sgl-workspace/constraints.txt     datamodel_code_generator     pre-commit     pytest     black     isort     icdiff     wheel     scikit-build-core     py-spy     cubloaty     google-cloud-storage     pandas     matplotlib     tabulate     termplotlib     "runai-model-streamer[s3,gcs,azure]>=0.15.7" # buildkit
                        
# 2026-10-16 08:18:19  514.98MB 执行命令并创建新的镜像层
RUN |17 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.9 SGL_VERSION=0.5.22 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.7.1 MOONCAKE_VERSION=0.3.13.post1 MSCCLPP_VERSION=sglang-v0.10.1 PYTHON_VERSION=3.12 CUDA_VERSION=13.0.3 /bin/sh -c git clone --depth=1 --branch ${MSCCLPP_VERSION} https://${GITHUB_ARTIFACTORY}/microsoft/mscclpp.git /tmp/mscclpp     && case "${CUDA_VERSION}" in            13.*)                CMAKE_ARGS="-DMSCCLPP_BYPASS_GPU_CHECK=ON -DMSCCLPP_USE_CUDA=ON -DMSCCLPP_GPU_ARCHS=80,90,100,100a,103,103a"                uv pip install "/tmp/mscclpp[cuda13]";                ;;            *)                echo "Unsupported CUDA version for MSCCL++: ${CUDA_VERSION}" && exit 1;                ;;        esac     && rm -rf /tmp/mscclpp # buildkit
                        
# 2026-10-16 08:13:52  340.55MB 执行命令并创建新的镜像层
RUN |17 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.9 SGL_VERSION=0.5.22 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.7.1 MOONCAKE_VERSION=0.3.13.post1 MSCCLPP_VERSION=sglang-v0.10.1 PYTHON_VERSION=3.12 CUDA_VERSION=13.0.3 /bin/sh -c uv pip install mooncake-transfer-engine-cuda13==${MOONCAKE_VERSION} # buildkit
                        
# 2026-10-16 08:13:50  635.77MB 执行命令并创建新的镜像层
RUN |17 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.9 SGL_VERSION=0.5.22 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.7.1 MOONCAKE_VERSION=0.3.13.post1 MSCCLPP_VERSION=sglang-v0.10.1 PYTHON_VERSION=3.12 CUDA_VERSION=13.0.3 /bin/sh -c apt update -y     && apt install -y --no-install-recommends gnupg     && echo "deb http://developer.download.nvidia.com/devtools/repos/ubuntu2004/$(if [ "$(uname -m)" = "aarch64" ]; then echo "arm64"; else echo "amd64"; fi) /" | tee /etc/apt/sources.list.d/nvidia-devtools.list     && apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/$(if [ "$(uname -m)" = "aarch64" ]; then echo "arm64"; else echo "x86_64"; fi)/7fa2af80.pub     && apt update -y     && apt install -y --no-install-recommends nsight-systems-cli     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-10-16 08:13:34  232.91MB 执行命令并创建新的镜像层
RUN |17 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.9 SGL_VERSION=0.5.22 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.7.1 MOONCAKE_VERSION=0.3.13.post1 MSCCLPP_VERSION=sglang-v0.10.1 PYTHON_VERSION=3.12 CUDA_VERSION=13.0.3 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     gdb     ninja-build     vim     tmux     htop     zsh     tree     silversearcher-ag     cloc     pkg-config     bear     less     rdma-core     openssh-server     gnuplot     infiniband-diags     perftest     ibverbs-providers     libibumad3     libibverbs1     libnl-3-200     libnl-route-3-200     librdmacm1     && rm -rf /var/lib/apt/lists/*     && apt-get clean # buildkit
                        
# 2026-10-16 08:13:18  13.09MB 复制新文件或目录到容器中
COPY /root/.oh-my-zsh /root/.oh-my-zsh # buildkit
                        
# 2026-10-16 08:13:18  4.91MB 复制新文件或目录到容器中
COPY /tools/just /usr/local/bin/ # buildkit
                        
# 2026-10-16 08:13:18  8.65MB 复制新文件或目录到容器中
COPY /tools/share/cmake-3.31 /usr/local/share/cmake-3.31 # buildkit
                        
# 2026-10-16 08:13:18  17.73MB 复制新文件或目录到容器中
COPY /tools/cpack /usr/local/bin/ # buildkit
                        
# 2026-10-16 08:13:18  18.76MB 复制新文件或目录到容器中
COPY /tools/ctest /usr/local/bin/ # buildkit
                        
# 2026-10-16 08:13:18  17.24MB 复制新文件或目录到容器中
COPY /tools/cmake /usr/local/bin/ # buildkit
                        
# 2026-10-16 08:13:18  13.39MB 复制新文件或目录到容器中
COPY /tools/lib /usr/local/lib/ # buildkit
                        
# 2026-10-16 08:13:18  129.15MB 复制新文件或目录到容器中
COPY /tools/clangd /usr/local/bin/ # buildkit
                        
# 2026-10-16 08:13:17  4.02MB 复制新文件或目录到容器中
COPY /tools/clang-format /usr/local/bin/ # buildkit
                        
# 2026-10-16 08:13:17  40.93KB 复制新文件或目录到容器中
COPY /tools/diff-so-fancy /usr/local/bin/ # buildkit
                        
# 2026-10-16 08:13:17  9.19GB 复制新文件或目录到容器中
COPY /flashinfer_jit_output/ /opt/sglang/lib/python3.12/site-packages/ # buildkit
                        
# 2026-10-16 08:12:56  121.55MB 执行命令并创建新的镜像层
RUN |17 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.9 SGL_VERSION=0.5.22 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.7.1 MOONCAKE_VERSION=0.3.13.post1 MSCCLPP_VERSION=sglang-v0.10.1 PYTHON_VERSION=3.12 CUDA_VERSION=13.0.3 /bin/sh -c if ls /tmp/wheels/hpc-ops/*.whl >/dev/null 2>&1; then         uv pip install --no-deps /tmp/wheels/hpc-ops/*.whl;     fi && rm -rf /tmp/wheels/hpc-ops # buildkit
                        
# 2026-10-16 08:12:56  32.73MB 复制新文件或目录到容器中
COPY /wheels /tmp/wheels/hpc-ops # buildkit
                        
# 2026-10-16 08:10:00  0.00B 设置工作目录为/sgl-workspace
WORKDIR /sgl-workspace
                        
# 2026-10-16 08:10:00  0.00B 定义构建参数
ARG SGL_NCCL_VERSION
                        
# 2026-10-16 08:10:00  0.00B 定义构建参数
ARG MSCCLPP_VERSION
                        
# 2026-10-16 08:10:00  0.00B 定义构建参数
ARG MOONCAKE_VERSION
                        
# 2026-10-16 08:10:00  0.00B 定义构建参数
ARG GITHUB_ARTIFACTORY
                        
# 2026-10-16 08:10:00  0.00B 定义构建参数
ARG USE_LATEST_SGLANG
                        
# 2026-10-16 08:10:00  0.00B 定义构建参数
ARG SGL_VERSION=0.5.22
                        
# 2026-10-16 08:10:00  0.00B 定义构建参数
ARG CUDA_VERSION=13.0.3
                        
# 2026-10-16 08:10:00  0.00B 定义构建参数
ARG BUILD_TYPE=all
                        
# 2026-10-16 08:10:00  0.00B 定义构建参数
ARG BRANCH_TYPE
                        
# 2026-10-16 08:10:00  10.49MB 执行命令并创建新的镜像层
RUN |17 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.9 SGL_VERSION=0.5.22 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.7.1 MOONCAKE_VERSION=0.3.13.post1 MSCCLPP_VERSION=sglang-v0.10.1 PYTHON_VERSION=3.12 CUDA_VERSION=13.0.3 /bin/sh -c uv pip install --no-deps         cosmos-guardrail==0.3.1         retinaface-py==0.0.2     && uv pip install         "better-profanity==0.7.0"         "nltk==3.9.1"         "peft==0.18.1"     && python3 -c "import importlib.util as u; missing = [m for m in ('cosmos_guardrail', 'retinaface', 'better_profanity', 'nltk', 'cv2', 'peft', 'sentencepiece') if u.find_spec(m) is None]; assert not missing, f'guardrail deps missing: {missing}'" # buildkit
                        
# 2026-10-16 08:09:59  9.31GB 执行命令并创建新的镜像层
RUN |17 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.9 SGL_VERSION=0.5.22 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.7.1 MOONCAKE_VERSION=0.3.13.post1 MSCCLPP_VERSION=sglang-v0.10.1 PYTHON_VERSION=3.12 CUDA_VERSION=13.0.3 /bin/sh -c case "$CUDA_VERSION" in         13.0.3) CUINDEX=130 ;;         *) echo "Unsupported CUDA version: $CUDA_VERSION" && exit 1 ;;     esac     && cd /tmp/sglang_deps/python     && mkdir -p sglang     && touch sglang/__init__.py     && echo '__version__ = "0.0.0"' > sglang/version.py     && touch README.md     && touch LICENSE     && uv pip install --extra-index-url https://download.pytorch.org/whl/cu${CUINDEX}         --index-strategy unsafe-best-match ".[${BUILD_TYPE}]"     && cd /sgl-workspace     && rm -rf /tmp/sglang_deps     && uv pip freeze | grep -vE "^sglang( |==|@)" > /sgl-workspace/constraints.txt # buildkit
                        
# 2026-10-16 08:09:11  346.38KB 复制新文件或目录到容器中
COPY rust/sglang-api-types /tmp/sglang_deps/rust/sglang-api-types # buildkit
                        
# 2026-10-16 08:09:11  147.27KB 复制新文件或目录到容器中
COPY rust/sglang-mm /tmp/sglang_deps/rust/sglang-mm # buildkit
                        
# 2026-10-16 08:09:11  120.38KB 复制新文件或目录到容器中
COPY rust/sglang-grpc /tmp/sglang_deps/rust/sglang-grpc # buildkit
                        
# 2026-10-16 08:09:11  6.97KB 复制新文件或目录到容器中
COPY python/pyproject.toml /tmp/sglang_deps/python/pyproject.toml # buildkit
                        
# 2026-10-16 08:09:11  1.20GB 执行命令并创建新的镜像层
RUN |17 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.9 SGL_VERSION=0.5.22 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.7.1 MOONCAKE_VERSION=0.3.13.post1 MSCCLPP_VERSION=sglang-v0.10.1 PYTHON_VERSION=3.12 CUDA_VERSION=13.0.3 /bin/sh -c uv pip install --upgrade pip setuptools wheel html5lib six     && case "$CUDA_VERSION" in         13.0.3) ;;         *) echo "Unsupported CUDA version: $CUDA_VERSION" && exit 1 ;;     esac     && uv pip install sglang-kernel==${SGL_KERNEL_VERSION} --reinstall --no-deps # buildkit
                        
# 2026-10-16 08:09:03  642.22MB 执行命令并创建新的镜像层
RUN |17 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.9 SGL_VERSION=0.5.22 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.7.1 MOONCAKE_VERSION=0.3.13.post1 MSCCLPP_VERSION=sglang-v0.10.1 PYTHON_VERSION=3.12 CUDA_VERSION=13.0.3 /bin/sh -c curl --proto '=https' --tlsv1.2 --retry 3 --retry-delay 2 -sSf https://sh.rustup.rs         | sh -s -- -y --no-modify-path --profile minimal     && rustc --version && cargo --version # buildkit
                        
# 2026-10-16 08:08:54  0.00B 设置环境变量 PATH
ENV PATH=/root/.cargo/bin:/opt/sglang/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/nvidia/bin
                        
# 2026-10-16 08:08:54  0.00B 设置工作目录为/sgl-workspace
WORKDIR /sgl-workspace
                        
# 2026-10-16 08:08:54  0.00B 定义构建参数
ARG GITHUB_ARTIFACTORY
                        
# 2026-10-16 08:08:54  0.00B 定义构建参数
ARG SGL_KERNEL_VERSION
                        
# 2026-10-16 08:08:54  0.00B 定义构建参数
ARG BUILD_TYPE=all
                        
# 2026-10-16 08:08:54  0.00B 定义构建参数
ARG CUDA_VERSION=13.0.3
                        
# 2026-10-16 08:08:54  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
                        
# 2026-10-16 08:08:54  3.07MB 执行命令并创建新的镜像层
RUN |16 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.9 SGL_VERSION=0.5.22 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.7.1 MOONCAKE_VERSION=0.3.13.post1 MSCCLPP_VERSION=sglang-v0.10.1 PYTHON_VERSION=3.12 /bin/sh -c locale-gen en_US.UTF-8 # buildkit
                        
# 2026-10-16 08:08:53  38.00B 执行命令并创建新的镜像层
RUN |16 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.9 SGL_VERSION=0.5.22 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.7.1 MOONCAKE_VERSION=0.3.13.post1 MSCCLPP_VERSION=sglang-v0.10.1 PYTHON_VERSION=3.12 /bin/sh -c ln -sf /usr/lib/$(uname -m)-linux-gnu/libmlx5.so.1 /usr/lib/$(uname -m)-linux-gnu/libmlx5.so # buildkit
                        
# 2026-10-16 08:08:52  4.58MB 执行命令并创建新的镜像层
RUN |16 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.9 SGL_VERSION=0.5.22 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.7.1 MOONCAKE_VERSION=0.3.13.post1 MSCCLPP_VERSION=sglang-v0.10.1 PYTHON_VERSION=3.12 /bin/sh -c mkdir -p /tmp/gdrcopy && cd /tmp     && curl --retry 3 --retry-delay 2 -fsSL -o v${GDRCOPY_VERSION}.tar.gz         https://${GITHUB_ARTIFACTORY}/NVIDIA/gdrcopy/archive/refs/tags/v${GDRCOPY_VERSION}.tar.gz     && tar -xzf v${GDRCOPY_VERSION}.tar.gz && rm v${GDRCOPY_VERSION}.tar.gz     && cd gdrcopy-${GDRCOPY_VERSION}/packages     && CUDA=/usr/local/cuda ./build-deb-packages.sh     && dpkg -i gdrdrv-dkms_*.deb libgdrapi_*.deb gdrcopy-tests_*.deb gdrcopy_*.deb     && cd / && rm -rf /tmp/gdrcopy # buildkit
                        
# 2026-10-16 08:08:18  0.00B 执行命令并创建新的镜像层
RUN |16 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.9 SGL_VERSION=0.5.22 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.7.1 MOONCAKE_VERSION=0.3.13.post1 MSCCLPP_VERSION=sglang-v0.10.1 PYTHON_VERSION=3.12 /bin/sh -c if [ -n "${PIP_DEFAULT_INDEX}" ]; then     python3 -m pip config set global.index-url ${PIP_DEFAULT_INDEX}; fi # buildkit
                        
# 2026-10-16 08:08:18  1.61GB 执行命令并创建新的镜像层
RUN |16 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.9 SGL_VERSION=0.5.22 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.7.1 MOONCAKE_VERSION=0.3.13.post1 MSCCLPP_VERSION=sglang-v0.10.1 PYTHON_VERSION=3.12 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     ca-certificates     netcat-openbsd     kmod     unzip     openssh-server     curl     wget     lsof     locales     build-essential     cmake     perl     patchelf     ccache     git-lfs     libopenmpi-dev     libnuma1     libnuma-dev     numactl     ffmpeg     libibverbs-dev     libibverbs1     libibumad3     librdmacm1     libnl-3-200     libnl-route-3-200     libnl-route-3-dev     libnl-3-dev     ibverbs-providers     infiniband-diags     perftest     libgoogle-glog-dev     libgtest-dev     libjsoncpp-dev     libunwind-dev     libboost-all-dev     libssl-dev     libgrpc-dev     libgrpc++-dev     libprotobuf-dev     protobuf-compiler     protobuf-compiler-grpc     pybind11-dev     libhiredis-dev     libcurl4-openssl-dev     libczmq4     libczmq-dev     libfabric-dev     linux-libc-dev     devscripts     debhelper     fakeroot     dkms     check     libsubunit0     libsubunit-dev     && rm -f /usr/bin/python     && printf '#!/bin/sh\nexec /opt/sglang/bin/python "$@"\n' > /usr/bin/python     && chmod +x /usr/bin/python     && rm -rf /var/lib/apt/lists/*     && apt-get clean # buildkit
                        
# 2026-10-16 08:07:13  0.00B 设置环境变量 PATH
ENV PATH=/opt/sglang/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/nvidia/bin
                        
# 2026-10-16 08:07:13  104.21MB 执行命令并创建新的镜像层
RUN |16 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.9 SGL_VERSION=0.5.22 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.7.1 MOONCAKE_VERSION=0.3.13.post1 MSCCLPP_VERSION=sglang-v0.10.1 PYTHON_VERSION=3.12 /bin/sh -c if [ -n "${PIP_DEFAULT_INDEX}" ]; then         mkdir -p /etc/uv         && printf '[[index]]\nurl = "%s"\ndefault = true\n' "${PIP_DEFAULT_INDEX}" > /etc/uv/uv.toml;     fi     && if [ "${GITHUB_ARTIFACTORY}" != "github.com" ]; then         export UV_PYTHON_INSTALL_MIRROR="https://${GITHUB_ARTIFACTORY}/astral-sh/python-build-standalone/releases/download";     fi     && uv --version     && uv python install ${PYTHON_VERSION}     && uv venv --seed --python ${PYTHON_VERSION} /opt/sglang     && uv pip install --upgrade pip     && /opt/sglang/bin/python -VV # buildkit
                        
# 2026-10-16 08:07:11  0.00B 设置环境变量 UV_PYTHON_INSTALL_DIR UV_PYTHON_PREFERENCE UV_LINK_MODE VIRTUAL_ENV
ENV UV_PYTHON_INSTALL_DIR=/opt/python UV_PYTHON_PREFERENCE=only-managed UV_LINK_MODE=copy VIRTUAL_ENV=/opt/sglang
                        
# 2026-10-16 08:07:11  43.52MB 复制新文件或目录到容器中
COPY /uv /uvx /usr/local/bin/ # buildkit
                        
# 2026-10-16 08:07:10  0.00B 定义构建参数
ARG PYTHON_VERSION=3.12
                        
# 2026-10-16 08:07:10  0.00B 执行命令并创建新的镜像层
RUN |15 TARGETARCH=amd64 BUILD_TYPE=all BRANCH_TYPE=remote SGL_KERNEL_VERSION=0.4.9 SGL_VERSION=0.5.22 USE_LATEST_SGLANG=0 GDRCOPY_VERSION=2.5.1 SGL_NCCL_VERSION=2.30.7 PIP_DEFAULT_INDEX= UBUNTU_MIRROR= GITHUB_ARTIFACTORY=github.com INSTALL_FLASHINFER_JIT_CACHE=1 FLASHINFER_VERSION=0.7.1 MOONCAKE_VERSION=0.3.13.post1 MSCCLPP_VERSION=sglang-v0.10.1 /bin/sh -c if [ -n "$UBUNTU_MIRROR" ]; then     sed -i "s|http://.*archive.ubuntu.com|$UBUNTU_MIRROR|g" /etc/apt/sources.list &&     sed -i "s|http://.*security.ubuntu.com|$UBUNTU_MIRROR|g" /etc/apt/sources.list; fi # buildkit
                        
# 2026-10-16 08:07:10  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 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2026-10-16 08:07:10  0.00B 设置环境变量 DEBIAN_FRONTEND CUDA_HOME GDRCOPY_HOME FLASHINFER_VERSION
ENV DEBIAN_FRONTEND=noninteractive CUDA_HOME=/usr/local/cuda GDRCOPY_HOME=/usr/src/gdrdrv-2.5.1/ FLASHINFER_VERSION=0.7.1
                        
# 2026-10-16 08:07:10  0.00B 定义构建参数
ARG MSCCLPP_VERSION=sglang-v0.10.1
                        
# 2026-10-16 08:07:10  0.00B 定义构建参数
ARG MOONCAKE_VERSION=0.3.13.post1
                        
# 2026-10-16 08:07:10  0.00B 定义构建参数
ARG FLASHINFER_VERSION=0.7.1
                        
# 2026-10-16 08:07:10  0.00B 定义构建参数
ARG INSTALL_FLASHINFER_JIT_CACHE=1
                        
# 2026-10-16 08:07:10  0.00B 定义构建参数
ARG GITHUB_ARTIFACTORY=github.com
                        
# 2026-10-16 08:07:10  0.00B 定义构建参数
ARG UBUNTU_MIRROR
                        
# 2026-10-16 08:07:10  0.00B 定义构建参数
ARG PIP_DEFAULT_INDEX
                        
# 2026-10-16 08:07:10  0.00B 定义构建参数
ARG SGL_NCCL_VERSION=2.30.7
                        
# 2026-10-16 08:07:10  0.00B 定义构建参数
ARG GDRCOPY_VERSION=2.5.1
                        
# 2026-10-16 08:07:10  0.00B 定义构建参数
ARG USE_LATEST_SGLANG=0
                        
# 2026-10-16 08:07:10  0.00B 定义构建参数
ARG SGL_VERSION=0.5.22
                        
# 2026-10-16 08:07:10  0.00B 定义构建参数
ARG SGL_KERNEL_VERSION=0.4.9
                        
# 2026-10-16 08:07:10  0.00B 定义构建参数
ARG BRANCH_TYPE=remote
                        
# 2026-10-16 08:07:10  0.00B 定义构建参数
ARG BUILD_TYPE=all
                        
# 2026-10-16 08:07:10  0.00B 定义构建参数
ARG TARGETARCH=amd64
                        
# 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

{
    "Id": "sha256:81726dc9e63a9c6778396c8176a7203716a527f28b2bbb6b0eac661a0b050afb",
    "RepoTags": [
        "lmsysorg/sglang:latest-cu130",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:latest-cu130"
    ],
    "RepoDigests": [
        "lmsysorg/sglang@sha256:e3a4f06001a29542fc4a8638536d9ffc5eb9c9942b08603c09b19a56eae4a1ae",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang@sha256:f371731511646a88df3a8e9a347a3be3dd01120778c949ce1d125ef9f766ace3"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2026-10-16T00:28:17.028718025Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/root/.cargo/bin:/opt/sglang/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/nvidia/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/",
            "FLASHINFER_VERSION=0.7.1",
            "UV_PYTHON_INSTALL_DIR=/opt/python",
            "UV_PYTHON_PREFERENCE=only-managed",
            "UV_LINK_MODE=copy",
            "VIRTUAL_ENV=/opt/sglang",
            "LANG=en_US.UTF-8",
            "LANGUAGE=en_US:en",
            "LC_ALL=en_US.UTF-8",
            "SGLANG_RUST_BUILD_MODE=never",
            "SGLANG_BUILD_COMMIT=baa9befa381511cd4d56f83980951e5a45fffc6d",
            "SGLANG_BUILD_URL=https://github.com/sgl-project/sglang/actions/runs/38824883379",
            "SGLANG_IMAGE_TAG=lmsysorg/sglang:v0.5.22"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/sgl-workspace/sglang",
        "Entrypoint": [
            "/opt/nvidia/nvidia_entrypoint.sh"
        ],
        "OnBuild": null,
        "Labels": {
            "ai.sglang.build.commit": "baa9befa381511cd4d56f83980951e5a45fffc6d",
            "ai.sglang.build.url": "https://github.com/sgl-project/sglang/actions/runs/38824883379",
            "ai.sglang.image.tag": "lmsysorg/sglang:v0.5.22",
            "com.nvidia.cudnn.version": "9.14.0.64-1",
            "maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
            "org.opencontainers.image.revision": "baa9befa381511cd4d56f83980951e5a45fffc6d",
            "org.opencontainers.image.source": "https://github.com/sgl-project/sglang",
            "org.opencontainers.image.url": "https://github.com/sgl-project/sglang/actions/runs/38824883379",
            "org.opencontainers.image.version": "lmsysorg/sglang:v0.5.22"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 38109925578,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/344a97c5da43d0b88a837da8f333f7d15d8274c2c49937052a96f27eb3e46871/diff:/var/lib/docker/overlay2/aa04b43a6758dfffbf8b06e0958aa99e5f58a49de03bb0ab8a0bbaf9de58e3bd/diff:/var/lib/docker/overlay2/8beb856cf9c39241588b2f7f8d352632e8bf54511de3a7ca540ac763864e077d/diff:/var/lib/docker/overlay2/31ef695b47d439990b4f4cc69f1635ad6cc66b0648bc953aaa3b5646e2ba4715/diff:/var/lib/docker/overlay2/0cd832f3ffc7d6818e407fe4757162f79f99b3fd7be50a72c9d526b70cb2dab8/diff:/var/lib/docker/overlay2/f126b5ba496659576c84c5ddd087c79f0f4688a82de4cf7a02b41875abca9f85/diff:/var/lib/docker/overlay2/7eeb1f882fc60a79fb98aa84c4119e24d0672609b999dfb09a81ee5640b2b685/diff:/var/lib/docker/overlay2/5b1e7dd8720a683378ff438937a9ae5bf6fd042efaf5765df121687c0afe69e1/diff:/var/lib/docker/overlay2/07783524dfff898bfe6c6b2dd1a123f1a4be1481c1946856a8c4ca8d097c7c75/diff:/var/lib/docker/overlay2/f1fd087720d2e10ab0dd86ebd1d36f844d851aaff34542c45f4d2d6a8f7caa6c/diff:/var/lib/docker/overlay2/e31583addfd56151e67fdc9eb2f016c256ae228cd27501e10756ca3ed2a639fa/diff:/var/lib/docker/overlay2/5c9a9eb48dc638d31ff3a6356ca83fc7027761e3051d397e9c2251d0bab65870/diff:/var/lib/docker/overlay2/1c7b27a574d79b1f68d3b6e684fddb01be216d62d937cf9f4550118f215351bd/diff:/var/lib/docker/overlay2/5acaee92bbbae220f41e5671bbd3c014a6ab0631c2969f052cc37dab9c294cdb/diff:/var/lib/docker/overlay2/3ebdab5f57a9a362c84021b567c6c043341eeae3732a0707b7f3c79019575d1f/diff:/var/lib/docker/overlay2/bb3e1fe81ecf8fab6cdb724efc91d76b74135489f2361de20e5160d2276d35d2/diff:/var/lib/docker/overlay2/6bbea5b51a797a5d0b40cccd1af030e3ecba7f292f33df22c9498795c4756aed/diff:/var/lib/docker/overlay2/2bf7803e2877e85a96bb6ffe3bc80c8f7311c578b45049411a19cd6c46a14a3e/diff:/var/lib/docker/overlay2/712fe9d7cc6d851df3762a2b313d949e6b92786033ced2219d4f483a7330ea58/diff:/var/lib/docker/overlay2/c16d98b4e889f7ec026190d4163744064bcd6230b2fb94bec8ae3c29050b5836/diff:/var/lib/docker/overlay2/19c1628d315e2040ac8aa1cbae9acc0e8b9206c5b9af10b0e26f09dcc8df5103/diff:/var/lib/docker/overlay2/4c2ca3fbe72ee5380b4557f905650e2846f95e6a6d5e4a4659dd551eab297dcb/diff:/var/lib/docker/overlay2/0970397f4583b0d0c7e8468fcd1064b09ae9bdc9802b946ffde9345bc609fc8c/diff:/var/lib/docker/overlay2/96c274f59900099cd8fb8e49a9af862627763667597ddf1d2b5d2b43ef6f3b89/diff:/var/lib/docker/overlay2/b8b2eae5581bcea17dc025fd5385c27b025fa60be028a3e09655c8dc9d935893/diff:/var/lib/docker/overlay2/7b2d5bb560fb9f292b69a908c0a11e80e648b3aa96938d6f05e116a66ac3fc03/diff:/var/lib/docker/overlay2/823dc081c00c853d55993d01bd8fb9921ae14e5ba2ea17bed19642736b8c80dd/diff:/var/lib/docker/overlay2/71c0cdfbd22978a9ba0080b999c08de4fc1ae8a96636173e79a02d413f885f9a/diff:/var/lib/docker/overlay2/25467290da8cd19f4db888238f4b890be90a248cab7c53c3104b2c4c5d7a4e1f/diff:/var/lib/docker/overlay2/01b67096a410cbd94671476e66cb67d4e897d362461bebb35033156e0c71650a/diff:/var/lib/docker/overlay2/a720bb17af8cbeaad52f73d17bb22d03a1944af82fc638371f7146353a2b25da/diff:/var/lib/docker/overlay2/94f164b5b3dd1aa7f7818352237d571fa4911d9059f433dd1524475941adab0f/diff:/var/lib/docker/overlay2/86f466dabb903dcbd99fbf32f2379b84672cdd920121dd5dd8dda7b73895b1ac/diff:/var/lib/docker/overlay2/989f68156b9cf57e004c37c6b6f9ff6a7c68253740d01c759be5a2233c774bc0/diff:/var/lib/docker/overlay2/4ab71056557500920b85bd4dcf1e9217fbcd8012ccd66e58f6d684b3b8e9734b/diff:/var/lib/docker/overlay2/7b03912606df6878763d9e148ff5a2442de646cadc33c36c496358d37a856d3d/diff:/var/lib/docker/overlay2/38eb3fd0d27dbfd35dee5ed322f78a50a47cf92a8b77a4ccca6a512b8600d043/diff:/var/lib/docker/overlay2/36b805fd42018fb2809c350555530667cdd45a6939b7b2bbd5fef1cd322f64ad/diff:/var/lib/docker/overlay2/12f0177f642e7a6bfcdf9967a7a2b19d403ddf8b9916f5fd10a9c1b19b90a5ad/diff:/var/lib/docker/overlay2/ced22436a896ccb057c7856464608a5a74a2219a1966c9baf9900f9e219c61e7/diff:/var/lib/docker/overlay2/fa0a27a5d1f7972b74dca6d6f1d46c16b03fc7ab1f19685d0dac51836bb84db1/diff:/var/lib/docker/overlay2/9b656985793da148d249215b511aabfaabfc8bd527f06df8d3c4da0d7256f2a7/diff:/var/lib/docker/overlay2/b6fa0fd55896ef9e1b9be156920743b391a502cbaae22faadf15342e258c31c5/diff:/var/lib/docker/overlay2/d027da58f5ac0d4fbd1206f4a43f0f3392ab0bd9e90ad927578b021adcb02d48/diff:/var/lib/docker/overlay2/17d3a87e6c3673555db3e1a6ba2423d62cf3207940e0bb4c3ecd54243787f6d9/diff:/var/lib/docker/overlay2/e8525d93c5973919d10aea47c7b78524e57a8ee181918b4395f483b11337c295/diff:/var/lib/docker/overlay2/6bf7600c60442fa76abc6600638d24c7d90bce0da47d4a72ac42e25d72ddebfb/diff:/var/lib/docker/overlay2/bfaa65924f8566fb149bbde22ed59d8537ced4187de7a6d6866f51822c076e72/diff:/var/lib/docker/overlay2/95a666a1fce2f01fde6a7bb1ab409dc1c07caad0fe81c6cf94d6b8b204e4ddbf/diff:/var/lib/docker/overlay2/0015e23756d00add2191b0acb9ce7df1c6035e5fed7500c87b3268cfb9f913cc/diff:/var/lib/docker/overlay2/bd98f2b16840836f6c55d4a397cf23d5f005101905843e5b540384997b07f519/diff:/var/lib/docker/overlay2/7d3b88dbe76124033aee39d5c1c85007395e5df5aaca96ba6cd725acd74227a7/diff:/var/lib/docker/overlay2/ba5b4117bf12cacbd69a856e0b5c11bbdc9f96862c4e25d04c7e322a346ff2d7/diff:/var/lib/docker/overlay2/03f0f5105f3f47724380ed73437a066539ac6b9be4f5ed13338cc3d445a0c2b4/diff:/var/lib/docker/overlay2/d56fc2e29a6a001d2bd3f0a6a094dac667c067d88d1f8f916b7a2b47c5cf2aee/diff:/var/lib/docker/overlay2/db41d260c731cd275fd8a5050ceb7bc8a556450ee5136a9f05109eab98005052/diff:/var/lib/docker/overlay2/7cbb48e574906729c4ea39a353f61230e71915c2d37af42d621b1251058873b5/diff:/var/lib/docker/overlay2/9a1c1d4b5b3645cec1c9bae789d39fdae737186626b183265345590b9095279d/diff:/var/lib/docker/overlay2/19eeab9a52421f99f5064154530ec03b6c9d6e70c5115065571a1d9f10f353f3/diff:/var/lib/docker/overlay2/54261dc6d6b92dd026ca9e6e68a4a79d2e263a100620f6b0d8b635587409ab13/diff:/var/lib/docker/overlay2/d714295434d991b309f8974bf5cd83613804e4128908789c020ee29e63014478/diff:/var/lib/docker/overlay2/4aea61878d8928b956c659d83483fb3cc7f8222810d507e64237d9655f0051af/diff:/var/lib/docker/overlay2/ba76c5411a38e5ce040f84336f12e22a92703f628bc4641098868b47b8da5ebe/diff:/var/lib/docker/overlay2/922f11a629fe90d81ca0a870c7350a85ad6596fa8fb53f44404f17067b9a7834/diff:/var/lib/docker/overlay2/49e240abd220ac4923860cb96b7181a83cbc61c024840c6b64da2240b8c31f88/diff:/var/lib/docker/overlay2/24c92ba203d4553844d5bbd324c13573449131e4c330c42de321c606dd000d99/diff:/var/lib/docker/overlay2/7ecc5695d1a17683c597a5ae433478f3275ed605c5841ee648c4c1ec52c140c5/diff:/var/lib/docker/overlay2/6ce56342d4e9e4cd89c5c721821071d2f2310e41a8e7cdd308ac6ff52d96ebf3/diff",
            "MergedDir": "/var/lib/docker/overlay2/f574729fecee445a83bccd7aec79c1a9e78569b83cdba134e135e2172ea1831f/merged",
            "UpperDir": "/var/lib/docker/overlay2/f574729fecee445a83bccd7aec79c1a9e78569b83cdba134e135e2172ea1831f/diff",
            "WorkDir": "/var/lib/docker/overlay2/f574729fecee445a83bccd7aec79c1a9e78569b83cdba134e135e2172ea1831f/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:5e732af9e7c568c9b41ecabc76ac93a58471934d5155070dfd64a9567667fd9d",
            "sha256:f5b49b5386a3c18aca8dccc85784c57d64b182f621a632374c44daeb7822e9ca",
            "sha256:2950e5ad5b560d8a4561ea596a8589f9be34eb485ad04ae521438c978d98a212",
            "sha256:f56f6d7fecabd59c6ae0104489b7e42e0b1c538ba1246f0019b099a12cca8cd6",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:6756a6579040c1541966a48c3e4d3bac9500de08ee027795439141ee0ba0eecd",
            "sha256:fdb5c9bcf16b58539209a7e6a469bea3a5b5434d2c4e9d4719968e22fe0ef1d7",
            "sha256:c6340b3836ce7fea1a99cadff25d755971a2091ecc7815f7761cce83624961ca",
            "sha256:6d6b5c3ac20f833a318cc28f64194bc3d50371b023199e420c641dd5d3264d5e",
            "sha256:2dfea3ee7ecb9bf9eaf210231c0d8fc84706edea83c584300f86aef7eb0dfe1d",
            "sha256:988d8769daf31ed246461f52c452d8b11248ba47e5b06fe8210915025327d393",
            "sha256:cd905001042d6fb31a08ed1272f4b36b9bf1814c0e111355cc8725277cd4bfb7",
            "sha256:ae8a69caad45e0cf5977673d59e9b3d444943e89e8eb503a7798f093c65162e8",
            "sha256:3f83440160ca573ae240f1525e4e9d6c7ee9d055dfc7be61ac7af84ee1642313",
            "sha256:72f31487cece23c9c9f79d1336cf0887726864ba145d967da1fb5d775e533d93",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:74004f41b400c1ca959dc07406dc04b4e1318a2c915cebceca616cd688a11e31",
            "sha256:60a9ee3bf57ccbc550b1b0dd29e8ef92c876b7bc99f86d1718126270eaf919f2",
            "sha256:c3310f1df26fa8975888e02480ece9d4a8ffcd52a4a9faad249d30fa5cd94743",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:6d40347c101cc5ec71a5fce025ed3ab2d33ef97215e6ddc3195430cbbc44b5ad",
            "sha256:c94c1ac8ea94f8be5e49dea063eaa3c063e30e455ba1a7f09622876cc1fef8fe",
            "sha256:65ed16ad1364e655fbbd802b2a28ca7372ff74d47dcd8ea25a86b5aad9ae2179",
            "sha256:f1e28b950ee045f79b63c527fc2365127c136a6ce44e33297ecd0d4bc9bdc21d",
            "sha256:017e7d49d1458439dd98f0e34f5f0a661b512b7b20586c46cd7f568bf1f506c3",
            "sha256:0a7359af6507a1187838e23dc87c0fe2970fca562cd00927f9667e9f9853ad82",
            "sha256:8d5cd30796aa9d51f1da5ce5e2d16a4172ab2fc634ec5ce45bd05aa033c429f1",
            "sha256:9b95249019cd10238886a25c821abf712de3119e68ce362ba08fc41df97d0e5b",
            "sha256:bda492ae77884d1697017de9cfb070c1f4b71a2679c24740b7670d26646d51dc",
            "sha256:ed622e6edcdfe7bd21e1cc8e2ab1fcb14e2bb59abafced4ada7d2a9fc2f57218",
            "sha256:8d7db2ef396b1e5564689b68df07ef7c3fd8d5a7871e736abf4c781b9bbffa83",
            "sha256:87ea4e9f2a991769e86a4ef1b40975e63e699ceb3955603dfc2a8ac8c89ec7af",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:5044eefb37b74b8b9c11ef2057446e159f1b7ad4bccb275e87844cec53d6764f",
            "sha256:5e52a1d6d28e95eebba9f9b93f54a8df64660319d00b928947997d938bb8b218",
            "sha256:e46ad34823aa86b720a3906dfaf45092d6277793aa3e1a3c64fc5f12a6ed49b4",
            "sha256:7131579f4227d9c9eca4236677882c50e2e02d966b9efb3b5263a11af72f16a3",
            "sha256:cf08cb58ba9c8b6a449902979c962b661bf3839311485c13677b51fbe9231e0c",
            "sha256:201e73b0a0d6a91fe779c3c72fdb0bd2e3a915376d03e23c1f0af0425052c00a",
            "sha256:97aa9166304a8528eaf49e5281a582bdf34750c941298b95a037791460de5bfc",
            "sha256:a9fd6e6877575839376cddf6f589f46406c39fcfccc49236ebdd0bc2f6a1e494",
            "sha256:d0603ae391a2ed36d44ca527eb4ee48f4fca954d36c8238a918a99ca96114b40",
            "sha256:f373cae1be483cbc0447dc1a0042c11e073d3aa63c00a8de549616347a985f9a",
            "sha256:366f28f9046031890ff6d8a7c5833f14aadc1dd7b4ee2eda3fabeeedceb71f38",
            "sha256:425cda79d0729a52259a6bca554857e8b975d9d89b42a2cae2e15537ef01e2f1",
            "sha256:25030a4b48fc1bdc9bc349ef783bd02474e0768d54c94ef7289c9b47ce9c601c",
            "sha256:fa4c4241214423c8398f356e3304b5044324046f1bde70ce9335687e5e813f61",
            "sha256:b548ecdce25e0717b4eb1e9783495d783dc9ae7283d5ae97bfa4159eb1acbc33",
            "sha256:fe698b045de8374f8fd65693551263c56d52c9b1fa3bb8f5bfa5811a35c064b5",
            "sha256:a34b84c7dda0b44dd898e36e40715c91be94eef6abcd789d0a0111ffc5637763",
            "sha256:defe97d7e2fad20f4043c34096aac358198213a840236c088027b5ad82ee0fda",
            "sha256:47e9671a03dbcda76eec5473cba22bea81885adced5176bd70ea074fbb0cbfb6",
            "sha256:e3b6d2ea7ed4711e29ca567792d89c8a17b4be06e71f9a4304ff18d97d3fcbb4",
            "sha256:ffad43af43d2363427d1abd4eed8c8f0c370656157655d5d78da6c5b4d9c947c",
            "sha256:7238e68289cb6aa8b22e12283a55db37b43b28c3f8f79c7e479298767144bee5",
            "sha256:f50b18648d5b52300e0ffa31966d5d576ca8a475b22b03ecd4f009e775a02f7b",
            "sha256:2ee11974330aca6369bb62ecaee2bb5f64076f6b73c31bf841ee805412c053ca",
            "sha256:0b773370db2002e8f8fd44070caa8ae822598c1a4b89858e55e23381f0a7a744",
            "sha256:5a3cbbf4f8c292174dd3587feaeaa9c780a7077c136d5f521bcb7aed8e85cda9",
            "sha256:aff9c5b06242099e7a9647e73b09f92441ea37fe0155e43ec83cf40847f9978e",
            "sha256:5b447166a7fcea2efaae984d166dce1d93045700d2177a53e453d0363a66b2c4",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:0b487b89e94daa3976a378ef38c668815f8079d48745d3a25285ea2737986f97",
            "sha256:3a48d86be2531d6776d7351c15519a5cb03a2a0260d43edf3be36cafce69922d",
            "sha256:f0c69c1372020b283d389df472fab3d5f4ab6a8a9740a33c39b0993921bbd229",
            "sha256:dd0a6d1be554c13e41692d16300d64d115240de1539ea86e7968ffb0e68cd6aa",
            "sha256:b4471bd3603d1df4ae9d05fb44ba2f4416bd379229f3477535986f8897b788a4",
            "sha256:411edd3866dc1347f08c1907a0e21c60c66172371c4e14cd65c27eca8515c955",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef"
        ]
    },
    "Metadata": {
        "LastTagTime": "2026-10-30T02:06:55.345718669+08:00"
    }
}

更多版本

docker.io/lmsysorg/sglang:blackwell

linux/amd64 docker.io28.29GB2025-06-12 03:24
1900

docker.io/lmsysorg/sglang:deepep

linux/amd64 docker.io16.69GB2025-05-27 06:52
1708

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

linux/amd64 docker.io58.37GB2026-07-21 05:18
288

docker.io/lmsysorg/sglang:dev

linux/amd64 docker.io19.61GB2025-03-11 17:56
3230

docker.io/lmsysorg/sglang:dev-cu13

linux/amd64 docker.io29.45GB2026-07-08 02:02
590

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

linux/amd64 docker.io29.44GB2026-07-20 00:00
291

docker.io/lmsysorg/sglang:dsv32-a3

linux/arm64 docker.io19.05GB2026-03-02 01:07
573

docker.io/lmsysorg/sglang:inkling-cu12

linux/amd64 docker.io33.79GB2026-07-21 04:01
263

docker.io/lmsysorg/sglang:latest

linux/amd64 docker.io15.95GB2024-10-29 01:12
9020

docker.io/lmsysorg/sglang:latest-cu130

linux/amd64 docker.io38.11GB2026-10-30 02:06
20

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

linux/arm64 docker.io13.52GB2026-02-28 01:49
658

docker.io/lmsysorg/sglang:spark

linux/arm64 docker.io25.52GB2026-06-03 03:47
322

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

linux/amd64 docker.io16.10GB2024-07-26 19:20
2599

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

linux/amd64 docker.io15.88GB2024-09-12 00:53
1377

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

linux/amd64 docker.io16.12GB2024-09-13 01:38
862

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

linux/amd64 docker.io16.59GB2024-12-22 06:13
780

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

linux/amd64 docker.io19.63GB2025-01-01 00:55
1093

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

linux/amd64 docker.io19.60GB2025-01-01 00:27
1017

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

linux/amd64 docker.io19.62GB2025-01-25 01:15
1199

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

linux/amd64 docker.io18.94GB2025-02-08 01:46
997

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

linux/amd64 docker.io18.94GB2025-02-10 00:38
965

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

linux/amd64 docker.io18.37GB2025-02-12 01:31
1514

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

linux/amd64 docker.io18.36GB2025-02-23 18:37
1521

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

linux/amd64 docker.io18.36GB2025-03-06 01:02
869

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

linux/amd64 docker.io50.09GB2025-03-04 00:51
1303

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

linux/amd64 docker.io18.40GB2025-03-10 05:17
618

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

linux/amd64 docker.io18.61GB2025-03-12 03:08
735

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

linux/amd64 docker.io18.61GB2025-03-11 00:39
816

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

linux/amd64 docker.io15.66GB2025-03-22 00:52
670

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

linux/amd64 docker.io15.66GB2025-03-22 00:30
771

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

linux/amd64 docker.io14.39GB2025-04-02 01:05
843

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

linux/amd64 docker.io14.38GB2025-04-01 00:21
808

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

linux/amd64 docker.io14.75GB2025-05-22 02:29
585

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

linux/amd64 docker.io15.46GB2025-04-15 00:38
1050

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

linux/amd64 docker.io14.75GB2025-04-11 01:25
783

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

linux/amd64 docker.io14.75GB2025-04-10 01:09
892

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

linux/amd64 docker.io14.79GB2025-05-22 02:47
659

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

linux/amd64 docker.io14.80GB2025-05-22 03:41
553

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

linux/amd64 docker.io13.71GB2025-04-25 05:03
845

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

linux/amd64 docker.io14.20GB2025-04-26 01:11
707

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

linux/amd64 docker.io13.71GB2026-06-30 00:36
381

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

linux/amd64 docker.io14.20GB2025-05-22 03:19
595

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

linux/amd64 docker.io14.64GB2025-05-01 01:02
900

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

linux/amd64 docker.io14.20GB2025-05-22 03:33
690

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

linux/amd64 docker.io56.19GB2025-05-01 01:40
1323

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

linux/amd64 docker.io15.18GB2025-05-02 00:35
777

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

linux/amd64 docker.io14.98GB2025-05-14 03:19
847

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

linux/amd64 docker.io14.87GB2025-05-23 01:52
1110

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

linux/amd64 docker.io14.78GB2025-05-27 02:46
1364

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

linux/amd64 docker.io19.58GB2025-06-13 02:35
1782

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

linux/amd64 docker.io19.59GB2025-06-18 03:32
2183

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

linux/arm64 docker.io13.85GB2026-04-08 21:49
434

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

linux/arm64 docker.io13.85GB2026-04-12 01:20
617

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

linux/amd64 docker.io33.94GB2026-04-30 02:18
561

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

linux/arm64 docker.io13.69GB2026-04-02 03:10
698

docker.io/lmsysorg/sglang:v0.5.11

linux/amd64 docker.io33.35GB2026-05-12 00:42
875

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

linux/arm64 docker.io14.02GB2026-05-08 01:35
380

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

linux/amd64 docker.io33.35GB2026-05-21 13:33
546

docker.io/lmsysorg/sglang:v0.5.12

linux/amd64 docker.io33.58GB2026-05-24 00:50
956

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

linux/arm64 docker.io14.07GB2026-05-29 00:53
309

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

linux/amd64 docker.io30.06GB2026-06-13 02:38
393

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

linux/amd64 docker.io33.60GB2026-06-11 03:30
1645

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

linux/amd64 docker.io24.51GB2026-06-16 03:20
430

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

linux/amd64 docker.io28.04GB2026-06-18 01:14
1038

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

linux/amd64 docker.io37.04GB2026-06-26 01:50
577

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

linux/amd64 docker.io29.19GB2026-07-01 01:50
551

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

linux/amd64 docker.io3.95GB2026-06-29 16:03
387

docker.io/lmsysorg/sglang:v0.5.15

linux/amd64 docker.io29.61GB2026-07-15 01:19
498

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

linux/amd64 docker.io25.92GB2026-07-17 00:58
353

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

linux/amd64 docker.io29.62GB2026-07-19 01:18
564

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

linux/arm64 docker.io16.01GB2026-07-22 02:05
227

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

linux/arm64 docker.io22.06GB2026-07-19 01:50
292

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

linux/amd64 docker.io26.13GB2026-10-14 00:40
88

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

linux/amd64 docker.io27.68GB2026-08-14 00:22
401

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

linux/amd64 docker.io27.68GB2026-08-25 01:04
225

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

linux/amd64 docker.io28.49GB2026-08-28 04:15
393

docker.io/lmsysorg/sglang:v0.5.20

linux/amd64 docker.io36.20GB2026-10-29 02:19
40

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

linux/amd64 docker.io36.20GB2026-10-23 01:09
68

docker.io/lmsysorg/sglang:v0.5.22

linux/amd64 docker.io38.11GB2026-10-23 00:30
125

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

linux/amd64 docker.io27.88GB2026-01-23 03:32
1332

docker.io/lmsysorg/sglang:v0.5.9

linux/amd64 docker.io38.69GB2026-06-03 02:01
1685

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

linux/arm64 docker.io13.38GB2026-03-02 00:25
2712
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 ×