docker.io/zhuzilin/slime:latest - 镜像下载

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 →

docker.io/zhuzilin/slime:latest

linux/amd64 docker.io 小罗贡献

该镜像对应Slime相关镜像，Slime是基于Istio的云原生流量管理增强平台，致力于解决Istio在大规模部署场景下的性能瓶颈与易用性问题，提供智能流量控制、动态配置管理、可观测性优化等功能，助力用户高效管理微服务流量。

771

浏览次数

29.37GB

镜像大小

源镜像

docker.io/zhuzilin/slime:latest

国内镜像

swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/zhuzilin/slime:latest

镜像ID

sha256:478cde1de0144e1a915c9f41321fde28cc097c699496bc2e59c3a23a4ac23ea3

镜像 TAG

latest

镜像大小

29.37GB

平台架构

linux/amd64

镜像源

docker.io

项目信息

Hub 主页所有 TAG

CMD

启动入口

/opt/nvidia/nvidia_entrypoint.sh

工作目录

/root/

OS/平台

linux/amd64

镜像创建

2025-09-03T12:29:36.108445243+08:00

同步时间

2025-09-09 00:48

浏览量

771 次

贡献者

小罗

⚙️ 环境变量 48

Key	Value
`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`	`0`
`NVARCH=x86_64`	`1`
NVIDIA_REQUIRE_CUDA=cuda>=12.6 brand=unknown,driver>=470,driver<471 brand=grid,driver>=470,driver<471 brand=tesla,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=vapps,driver>=470,driver<471 brand=vpc,driver>=470,driver<471 brand=vcs,driver>=470,driver<471 brand=vws,driver>=470,driver<471 brand=cloudgaming,driver>=470,driver<471 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	`2`
`NV_CUDA_CUDART_VERSION=12.6.68-1`	`3`
`CUDA_VERSION=12.6.1`	`4`
`LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/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=12.6.1-1`	`8`
`NV_NVTX_VERSION=12.6.68-1`	`9`
`NV_LIBNPP_VERSION=12.3.1.54-1`	`10`
`NV_LIBNPP_PACKAGE=libnpp-12-6=12.3.1.54-1`	`11`
`NV_LIBCUSPARSE_VERSION=12.5.3.3-1`	`12`
`NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-6`	`13`
`NV_LIBCUBLAS_VERSION=12.6.1.4-1`	`14`
`NV_LIBCUBLAS_PACKAGE=libcublas-12-6=12.6.1.4-1`	`15`
`NV_LIBNCCL_PACKAGE_NAME=libnccl2`	`16`
`NV_LIBNCCL_PACKAGE_VERSION=2.22.3-1`	`17`
`NCCL_VERSION=2.22.3-1`	`18`
`NV_LIBNCCL_PACKAGE=libnccl2=2.22.3-1+cuda12.6`	`19`
`NVIDIA_PRODUCT_NAME=CUDA`	`20`
`NV_CUDA_CUDART_DEV_VERSION=12.6.68-1`	`21`
`NV_NVML_DEV_VERSION=12.6.68-1`	`22`
`NV_LIBCUSPARSE_DEV_VERSION=12.5.3.3-1`	`23`
`NV_LIBNPP_DEV_VERSION=12.3.1.54-1`	`24`
`NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-6=12.3.1.54-1`	`25`
`NV_LIBCUBLAS_DEV_VERSION=12.6.1.4-1`	`26`
`NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-6`	`27`
`NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-6=12.6.1.4-1`	`28`
`NV_CUDA_NSIGHT_COMPUTE_VERSION=12.6.1-1`	`29`
`NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-6=12.6.1-1`	`30`
`NV_NVPROF_VERSION=12.6.68-1`	`31`
`NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-6=12.6.68-1`	`32`
`NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev`	`33`
`NV_LIBNCCL_DEV_PACKAGE_VERSION=2.22.3-1`	`34`
`NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.22.3-1+cuda12.6`	`35`
`LIBRARY_PATH=/usr/local/cuda/lib64/stubs`	`36`
`NV_CUDNN_VERSION=9.3.0.75-1`	`37`
`NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-12`	`38`
`NV_CUDNN_PACKAGE=libcudnn9-cuda-12=9.3.0.75-1`	`39`
`NV_CUDNN_PACKAGE_DEV=libcudnn9-dev-cuda-12=9.3.0.75-1`	`40`
`DEBIAN_FRONTEND=noninteractive`	`41`
`CUDA_HOME=/usr/local/cuda`	`42`
`GDRCOPY_HOME=/usr/src/gdrdrv-2.4.4/`	`43`
`NVSHMEM_DIR=/sgl-workspace/nvshmem/install`	`44`
`LANG=en_US.UTF-8`	`45`
`LANGUAGE=en_US:en`	`46`
`LC_ALL=en_US.UTF-8`	`47`

🏷️ 镜像标签 4

Key	Value
`9.3.0.75-1`	`com.nvidia.cudnn.version`
`NVIDIA CORPORATION <cudatools@nvidia.com>`	`maintainer`
`ubuntu`	`org.opencontainers.image.ref.name`
`22.04`	`org.opencontainers.image.version`

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无权限下载？点我修复生成 Docker Run 命令生成 Kubernetes YAML

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/zhuzilin/slime:latest
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/zhuzilin/slime:latest  docker.io/zhuzilin/slime:latest

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/zhuzilin/slime:latest
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/zhuzilin/slime:latest  docker.io/zhuzilin/slime:latest

Shell快速替换命令

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

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/zhuzilin/slime:latest && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/zhuzilin/slime:latest  docker.io/zhuzilin/slime:latest'

镜像构建历史


# 2025-09-03 12:29:36  0.00B 执行命令并创建新的镜像层
RUN |2 SGLANG_VERSION=dev MEGATRON_COMMIT=main /bin/sh -c rm /root/.tmux.conf # buildkit
                        
# 2025-09-03 12:29:35  454.80KB 执行命令并创建新的镜像层
RUN |2 SGLANG_VERSION=dev MEGATRON_COMMIT=main /bin/sh -c cd /sgl-workspace/sglang &&   git apply sglang.patch.1 &&   if grep -R -n '^<<<<<<< ' .; then     echo "Patch failed to apply cleanly. Please resolve conflicts." &&     exit 1;   fi &&   rm sglang.patch.1 # buildkit
                        
# 2025-09-03 12:29:14  9.26KB 复制新文件或目录到容器中
COPY patch/dev/sglang.patch /sgl-workspace/sglang/sglang.patch.1 # buildkit
                        
# 2025-08-26 14:59:53  817.79KB 执行命令并创建新的镜像层
RUN |2 SGLANG_VERSION=dev MEGATRON_COMMIT=main /bin/sh -c cd Megatron-LM &&     git checkout ${MEGATRON_COMMIT} &&     git apply megatron.patch &&     if grep -R -n '^<<<<<<< ' .; then       echo "Patch failed to apply cleanly. Please resolve conflicts." &&       exit 1;     fi &&     rm megatron.patch # buildkit
                        
# 2025-08-26 14:59:52  19.39KB 复制新文件或目录到容器中
COPY patch/dev/megatron.patch /root/Megatron-LM/ # buildkit
                        
# 2025-08-25 19:50:53  169.54MB 执行命令并创建新的镜像层
RUN |2 SGLANG_VERSION=dev MEGATRON_COMMIT=main /bin/sh -c git clone https://github.com/NVIDIA/Megatron-LM.git --recursive &&     cd Megatron-LM &&     pip install -e . # buildkit
                        
# 2025-08-25 19:50:26  0.00B 设置工作目录为/root/
WORKDIR /root/
                        
# 2025-08-25 19:50:26  28.04KB 执行命令并创建新的镜像层
RUN |2 SGLANG_VERSION=dev MEGATRON_COMMIT=main /bin/sh -c python_path=`python -c "import site; print(site.getsitepackages()[0])"` &&   mkdir -p $python_path/flash_attn_3 &&   wget -P $python_path/flash_attn_3 https://raw.githubusercontent.com/Dao-AILab/flash-attention/27f501dbe011f4371bff938fe7e09311ab3002fa/hopper/flash_attn_interface.py # buildkit
                        
# 2025-08-25 19:50:24  3.28GB 执行命令并创建新的镜像层
RUN |2 SGLANG_VERSION=dev MEGATRON_COMMIT=main /bin/sh -c git clone https://github.com/Dao-AILab/flash-attention.git && cd flash-attention/ && git checkout 27f501d && cd hopper/ && python setup.py install # buildkit
                        
# 2025-08-25 19:40:21  788.86MB 执行命令并创建新的镜像层
RUN |2 SGLANG_VERSION=dev MEGATRON_COMMIT=main /bin/sh -c MAX_JOBS=64 pip -v install flash-attn==2.7.4.post1 # buildkit
                        
# 2025-08-25 19:28:59  416.85MB 执行命令并创建新的镜像层
RUN |2 SGLANG_VERSION=dev MEGATRON_COMMIT=main /bin/sh -c pip -v install --no-build-isolation git+https://github.com/NVIDIA/TransformerEngine.git@stable # buildkit
                        
# 2025-08-25 19:20:53  1.43MB 执行命令并创建新的镜像层
RUN |2 SGLANG_VERSION=dev MEGATRON_COMMIT=main /bin/sh -c pip install pybind11 # buildkit
                        
# 2025-08-25 19:20:49  200.75MB 执行命令并创建新的镜像层
RUN |2 SGLANG_VERSION=dev MEGATRON_COMMIT=main /bin/sh -c NVCC_APPEND_FLAGS="--threads 4"   pip -v install --disable-pip-version-check --no-cache-dir   --no-build-isolation   --config-settings "--build-option=--cpp_ext --cuda_ext --parallel 8" git+https://github.com/NVIDIA/apex.git # buildkit
                        
# 2025-08-25 19:18:24  7.95MB 执行命令并创建新的镜像层
RUN |2 SGLANG_VERSION=dev MEGATRON_COMMIT=main /bin/sh -c TORCH_CUDA_ARCH_LIST="8.0;8.9;9.0;9.0a" pip install git+https://github.com/fanshiqing/grouped_gemm@v1.1.4 # buildkit
                        
# 2025-08-25 19:16:17  633.33KB 执行命令并创建新的镜像层
RUN |2 SGLANG_VERSION=dev MEGATRON_COMMIT=main /bin/sh -c pip install git+https://github.com/ISEEKYAN/mbridge.git --no-deps # buildkit
                        
# 2025-08-25 19:16:09  133.30KB 执行命令并创建新的镜像层
RUN |2 SGLANG_VERSION=dev MEGATRON_COMMIT=main /bin/sh -c pip install git+https://github.com/zhuzilin/cumem_allocator.git # buildkit
                        
# 2025-08-25 19:15:55  121.53MB 执行命令并创建新的镜像层
RUN |2 SGLANG_VERSION=dev MEGATRON_COMMIT=main /bin/sh -c pip install httpx[http2] wandb pylatexenc blobfile accelerate "mcp[cli]" # buildkit
                        
# 2025-08-25 19:15:11  319.07MB 执行命令并创建新的镜像层
RUN |2 SGLANG_VERSION=dev MEGATRON_COMMIT=main /bin/sh -c pip install ray[default] # buildkit
                        
# 2025-08-25 19:13:54  922.60KB 执行命令并创建新的镜像层
RUN |2 SGLANG_VERSION=dev MEGATRON_COMMIT=main /bin/sh -c pip install git+https://github.com/fzyzcjy/torch_memory_saver.git --no-cache-dir --force-reinstall # buildkit
                        
# 2025-08-25 19:13:43  35.68MB 执行命令并创建新的镜像层
RUN |2 SGLANG_VERSION=dev MEGATRON_COMMIT=main /bin/sh -c pip install sglang-router --force-reinstall # buildkit
                        
# 2025-08-25 19:13:36  3.40MB 执行命令并创建新的镜像层
RUN |2 SGLANG_VERSION=dev MEGATRON_COMMIT=main /bin/sh -c apt install -y nvtop # buildkit
                        
# 2025-08-25 19:13:33  38.00MB 执行命令并创建新的镜像层
RUN |2 SGLANG_VERSION=dev MEGATRON_COMMIT=main /bin/sh -c apt update # buildkit
                        
# 2025-08-25 19:13:33  0.00B 定义构建参数
ARG MEGATRON_COMMIT=main
                        
# 2025-08-25 19:13:33  0.00B 定义构建参数
ARG SGLANG_VERSION
                        
# 2025-08-11 08:36:39  0.00B 设置工作目录为/sgl-workspace/sglang
WORKDIR /sgl-workspace/sglang
                        
# 2025-08-11 08:36:39  4.91MB 执行命令并创建新的镜像层
RUN |3 BUILD_TYPE=all DEEPEP_COMMIT=b6ce310bb0b75079682d09bc2ebc063a074fbd58 CMAKE_BUILD_PARALLEL_LEVEL=4 /bin/sh -c set -euxo ;     curl --proto '=https' --tlsv1.2 -sSf https://just.systems/install.sh | bash -s -- --to /usr/local/bin # buildkit
                        
# 2025-08-11 08:36:37  387.00B 复制新文件或目录到容器中
COPY --chown=root:root <<EOF /root/.zshrc # buildkit
                        
# 2025-08-11 08:36:37  601.00B 执行命令并创建新的镜像层
RUN |3 BUILD_TYPE=all DEEPEP_COMMIT=b6ce310bb0b75079682d09bc2ebc063a074fbd58 CMAKE_BUILD_PARALLEL_LEVEL=4 /bin/sh -c git config --global core.editor "vim"     && git config --global core.whitespace "fix,-indent-with-non-tab,trailing-space,cr-at-eol"     && git config --global core.pager "diff-so-fancy | less --tabs=4 -RFX"     && git config --global color.ui true     && git config --global color."diff-highlight".oldNormal "red bold"     && git config --global color."diff-highlight".oldHighlight "red bold 52"     && git config --global color."diff-highlight".newNormal "green bold"     && git config --global color."diff-highlight".newHighlight "green bold 22"     && git config --global color.diff.meta "11"     && git config --global color.diff.frag "magenta bold"     && git config --global color.diff.commit "yellow bold"     && git config --global color.diff.old "red bold"     && git config --global color.diff.new "green bold"     && git config --global color.diff.whitespace "red reverse"     && git config --global alias.lg "log --color --graph --pretty=format:'%Cred%h%Creset - %s %Cgreen(%cr) %C(bold blue)<%an>%Creset%C(auto)%d%Creset' --abbrev-commit --"     && git config --global http.sslVerify false     && git config --global pull.rebase true # buildkit
                        
# 2025-08-11 08:36:37  654.00B 复制新文件或目录到容器中
COPY --chown=root:root <<EOF /root/.tmux.conf # buildkit
                        
# 2025-08-11 08:36:37  914.00B 复制新文件或目录到容器中
COPY --chown=root:root <<EOF /root/.vimrc # buildkit
                        
# 2025-08-11 08:36:37  14.21MB 执行命令并创建新的镜像层
RUN |3 BUILD_TYPE=all DEEPEP_COMMIT=b6ce310bb0b75079682d09bc2ebc063a074fbd58 CMAKE_BUILD_PARALLEL_LEVEL=4 /bin/sh -c sh -c "$(curl -fsSL https://raw.githubusercontent.com/ohmyzsh/ohmyzsh/master/tools/install.sh)" "" --unattended     && git clone https://github.com/zsh-users/zsh-autosuggestions ${ZSH_CUSTOM:-~/.oh-my-zsh/custom}/plugins/zsh-autosuggestions     && git clone https://github.com/zsh-users/zsh-syntax-highlighting.git ${ZSH_CUSTOM:-~/.oh-my-zsh/custom}/plugins/zsh-syntax-highlighting # buildkit
                        
# 2025-08-11 08:36:34  409.00B 执行命令并创建新的镜像层
RUN |3 BUILD_TYPE=all DEEPEP_COMMIT=b6ce310bb0b75079682d09bc2ebc063a074fbd58 CMAKE_BUILD_PARALLEL_LEVEL=4 /bin/sh -c chmod +x /usr/local/bin/yank # buildkit
                        
# 2025-08-11 08:36:34  409.00B 复制新文件或目录到容器中
COPY --chown=root:root <<EOF /usr/local/bin/yank # buildkit
                        
# 2025-08-11 08:36:34  112.57MB 执行命令并创建新的镜像层
RUN |3 BUILD_TYPE=all DEEPEP_COMMIT=b6ce310bb0b75079682d09bc2ebc063a074fbd58 CMAKE_BUILD_PARALLEL_LEVEL=4 /bin/sh -c wget https://github.com/Kitware/CMake/releases/download/v3.31.1/cmake-3.31.1-linux-x86_64.tar.gz     && tar -xzf cmake-3.31.1-linux-x86_64.tar.gz     && cp -r cmake-3.31.1-linux-x86_64/bin/* /usr/local/bin/     && cp -r cmake-3.31.1-linux-x86_64/share/* /usr/local/share/     && rm -rf cmake-3.31.1-linux-x86_64 cmake-3.31.1-linux-x86_64.tar.gz # buildkit
                        
# 2025-08-11 08:36:31  142.54MB 执行命令并创建新的镜像层
RUN |3 BUILD_TYPE=all DEEPEP_COMMIT=b6ce310bb0b75079682d09bc2ebc063a074fbd58 CMAKE_BUILD_PARALLEL_LEVEL=4 /bin/sh -c curl -L https://github.com/clangd/clangd/releases/download/18.1.3/clangd-linux-18.1.3.zip -o clangd.zip     && unzip clangd.zip     && cp -r clangd_18.1.3/bin/* /usr/local/bin/     && cp -r clangd_18.1.3/lib/* /usr/local/lib/     && rm -rf clangd_18.1.3 clangd.zip # buildkit
                        
# 2025-08-11 08:36:28  4.02MB 执行命令并创建新的镜像层
RUN |3 BUILD_TYPE=all DEEPEP_COMMIT=b6ce310bb0b75079682d09bc2ebc063a074fbd58 CMAKE_BUILD_PARALLEL_LEVEL=4 /bin/sh -c curl -LSso /usr/local/bin/clang-format https://github.com/muttleyxd/clang-tools-static-binaries/releases/download/master-32d3ac78/clang-format-16_linux-amd64     && chmod +x /usr/local/bin/clang-format # buildkit
                        
# 2025-08-11 08:36:28  40.93KB 执行命令并创建新的镜像层
RUN |3 BUILD_TYPE=all DEEPEP_COMMIT=b6ce310bb0b75079682d09bc2ebc063a074fbd58 CMAKE_BUILD_PARALLEL_LEVEL=4 /bin/sh -c curl -LSso /usr/local/bin/diff-so-fancy https://github.com/so-fancy/diff-so-fancy/releases/download/v1.4.4/diff-so-fancy     && chmod +x /usr/local/bin/diff-so-fancy # buildkit
                        
# 2025-08-11 08:36:27  64.87MB 执行命令并创建新的镜像层
RUN |3 BUILD_TYPE=all DEEPEP_COMMIT=b6ce310bb0b75079682d09bc2ebc063a074fbd58 CMAKE_BUILD_PARALLEL_LEVEL=4 /bin/sh -c python3 -m pip install --no-cache-dir --break-system-packages     pytest     black     isort     icdiff     scikit_build_core     uv     pre-commit     pandas     matplotlib     tabulate # buildkit
                        
# 2025-08-11 08:36:23  0.00B 设置环境变量 LC_ALL
ENV LC_ALL=en_US.UTF-8
                        
# 2025-08-11 08:36:23  0.00B 设置环境变量 LANGUAGE
ENV LANGUAGE=en_US:en
                        
# 2025-08-11 08:36:23  0.00B 设置环境变量 LANG
ENV LANG=en_US.UTF-8
                        
# 2025-08-11 08:36:23  3.06MB 执行命令并创建新的镜像层
RUN |3 BUILD_TYPE=all DEEPEP_COMMIT=b6ce310bb0b75079682d09bc2ebc063a074fbd58 CMAKE_BUILD_PARALLEL_LEVEL=4 /bin/sh -c locale-gen en_US.UTF-8 # buildkit
                        
# 2025-08-11 08:36:22  595.52MB 执行命令并创建新的镜像层
RUN |3 BUILD_TYPE=all DEEPEP_COMMIT=b6ce310bb0b75079682d09bc2ebc063a074fbd58 CMAKE_BUILD_PARALLEL_LEVEL=4 /bin/sh -c apt update -y     && apt install -y --no-install-recommends gnupg     && echo "deb http://developer.download.nvidia.com/devtools/repos/ubuntu2004/amd64 /" | tee /etc/apt/sources.list.d/nvidia-devtools.list     && apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub     && apt update -y     && apt install nsight-systems-cli -y # buildkit
                        
# 2025-08-11 08:36:01  142.13MB 执行命令并创建新的镜像层
RUN |3 BUILD_TYPE=all DEEPEP_COMMIT=b6ce310bb0b75079682d09bc2ebc063a074fbd58 CMAKE_BUILD_PARALLEL_LEVEL=4 /bin/sh -c apt-get update && apt-get install -y     gdb     ninja-build     vim     tmux     htop     wget     curl     locales     lsof     git     git-lfs     zsh     tree     silversearcher-ag     cloc     unzip     pkg-config     libssl-dev     bear     ccache     less     && apt install -y rdma-core infiniband-diags openssh-server perftest ibverbs-providers libibumad3 libibverbs1 libnl-3-200 libnl-route-3-200 librdmacm1     && rm -rf /var/lib/apt/lists/*     && apt-get clean # buildkit
                        
# 2025-08-11 08:35:42  666.81MB 执行命令并创建新的镜像层
RUN |3 BUILD_TYPE=all DEEPEP_COMMIT=b6ce310bb0b75079682d09bc2ebc063a074fbd58 CMAKE_BUILD_PARALLEL_LEVEL=4 /bin/sh -c python3 -m pip install --no-cache-dir     datamodel_code_generator     mooncake-transfer-engine==0.3.5     pre-commit     pytest     black     isort     icdiff     uv     wheel     scikit-build-core     nixl # buildkit
                        
# 2025-08-11 08:35:29  71.27MB 执行命令并创建新的镜像层
RUN |3 BUILD_TYPE=all DEEPEP_COMMIT=b6ce310bb0b75079682d09bc2ebc063a074fbd58 CMAKE_BUILD_PARALLEL_LEVEL=4 /bin/sh -c cd /sgl-workspace/DeepEP &&     NVSHMEM_DIR=${NVSHMEM_DIR} pip install . # buildkit
                        
# 2025-08-11 08:34:38  1.35GB 执行命令并创建新的镜像层
RUN |3 BUILD_TYPE=all DEEPEP_COMMIT=b6ce310bb0b75079682d09bc2ebc063a074fbd58 CMAKE_BUILD_PARALLEL_LEVEL=4 /bin/sh -c cd /sgl-workspace/nvshmem &&     NVSHMEM_SHMEM_SUPPORT=0     NVSHMEM_UCX_SUPPORT=0     NVSHMEM_USE_NCCL=0     NVSHMEM_MPI_SUPPORT=0     NVSHMEM_IBGDA_SUPPORT=1     NVSHMEM_PMIX_SUPPORT=0     NVSHMEM_TIMEOUT_DEVICE_POLLING=0     NVSHMEM_USE_GDRCOPY=1     cmake -S . -B build/ -DCMAKE_INSTALL_PREFIX=${NVSHMEM_DIR} -DCMAKE_CUDA_ARCHITECTURES="90" &&     cmake --build build --target install -j${CMAKE_BUILD_PARALLEL_LEVEL} # buildkit
                        
# 2025-08-11 08:19:37  8.81MB 执行命令并创建新的镜像层
RUN |3 BUILD_TYPE=all DEEPEP_COMMIT=b6ce310bb0b75079682d09bc2ebc063a074fbd58 CMAKE_BUILD_PARALLEL_LEVEL=4 /bin/sh -c wget https://developer.download.nvidia.com/compute/redist/nvshmem/3.3.9/source/nvshmem_src_cuda12-all-all-3.3.9.tar.gz &&     git clone https://github.com/deepseek-ai/DeepEP.git &&     cd DeepEP && git checkout ${DEEPEP_COMMIT} && cd .. &&     tar -xf nvshmem_src_cuda12-all-all-3.3.9.tar.gz &&     mv nvshmem_src nvshmem &&     rm -f /sgl-workspace/nvshmem_src_cuda12-all-all-3.3.9.tar.gz # buildkit
                        
# 2025-08-11 08:19:35  11.51GB 执行命令并创建新的镜像层
RUN |3 BUILD_TYPE=all DEEPEP_COMMIT=b6ce310bb0b75079682d09bc2ebc063a074fbd58 CMAKE_BUILD_PARALLEL_LEVEL=4 /bin/sh -c python3 -m pip install --no-cache-dir --upgrade pip setuptools wheel html5lib six  && git clone --depth=1 https://github.com/sgl-project/sglang.git  && cd sglang  && case "$CUDA_VERSION" in       12.6.1) CUINDEX=126 ;;       12.8.1) CUINDEX=128 ;;       12.9.1) CUINDEX=129 ;;       *) echo "Unsupported CUDA version: $CUDA_VERSION" && exit 1 ;;     esac  && python3 -m pip install --no-cache-dir -e "python[${BUILD_TYPE}]" --extra-index-url https://download.pytorch.org/whl/cu${CUINDEX}  && python3 -m pip install --no-cache-dir nvidia-nccl-cu12==2.27.6 --force-reinstall --no-deps  && python3 -m flashinfer --download-cubin  && if [ "$CUDA_VERSION" = "12.8.1" ]; then       python3 -m pip install --no-cache-dir https://github.com/sgl-project/whl/releases/download/v0.3.3/sgl_kernel-0.3.3+cu128-cp39-abi3-manylinux2014_x86_64.whl --force-reinstall --no-deps ;     fi  && if [ "$CUDA_VERSION" = "12.9.1" ]; then       python3 -m pip install --no-cache-dir https://github.com/sgl-project/whl/releases/download/v0.3.3/sgl_kernel-0.3.3-cp39-abi3-manylinux2014_x86_64.whl --force-reinstall --no-deps ;     fi # buildkit
                        
# 2025-08-11 08:11:52  0.00B 设置工作目录为/sgl-workspace
WORKDIR /sgl-workspace
                        
# 2025-08-11 08:11:52  38.00B 执行命令并创建新的镜像层
RUN |3 BUILD_TYPE=all DEEPEP_COMMIT=b6ce310bb0b75079682d09bc2ebc063a074fbd58 CMAKE_BUILD_PARALLEL_LEVEL=4 /bin/sh -c ln -sf /usr/lib/x86_64-linux-gnu/libmlx5.so.1 /usr/lib/x86_64-linux-gnu/libmlx5.so # buildkit
                        
# 2025-08-11 08:11:52  3.01MB 执行命令并创建新的镜像层
RUN |3 BUILD_TYPE=all DEEPEP_COMMIT=b6ce310bb0b75079682d09bc2ebc063a074fbd58 CMAKE_BUILD_PARALLEL_LEVEL=4 /bin/sh -c mkdir -p /tmp/gdrcopy && cd /tmp  && git clone https://github.com/NVIDIA/gdrcopy.git -b v2.4.4  && cd gdrcopy/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
                        
# 2025-08-11 08:11:31  817.37MB 执行命令并创建新的镜像层
RUN |3 BUILD_TYPE=all DEEPEP_COMMIT=b6ce310bb0b75079682d09bc2ebc063a074fbd58 CMAKE_BUILD_PARALLEL_LEVEL=4 /bin/sh -c echo 'tzdata tzdata/Areas select America' | debconf-set-selections  && echo 'tzdata tzdata/Zones/America select Los_Angeles' | debconf-set-selections  && apt-get update && apt-get install -y --no-install-recommends     tzdata     software-properties-common netcat-openbsd kmod unzip openssh-server     curl wget lsof zsh ccache tmux htop git-lfs tree     build-essential cmake     libopenmpi-dev libnuma1 libnuma-dev     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-grpc     pybind11-dev     libhiredis-dev libcurl4-openssl-dev     libczmq4 libczmq-dev     libfabric-dev     patchelf     nvidia-dkms-550     devscripts debhelper fakeroot dkms check libsubunit0 libsubunit-dev  && ln -sf /usr/bin/python3.12 /usr/bin/python  && rm -rf /var/lib/apt/lists/*  && apt-get clean # buildkit
                        
# 2025-08-11 08:10:50  420.25MB 执行命令并创建新的镜像层
RUN |3 BUILD_TYPE=all DEEPEP_COMMIT=b6ce310bb0b75079682d09bc2ebc063a074fbd58 CMAKE_BUILD_PARALLEL_LEVEL=4 /bin/sh -c apt update && apt install wget -y && apt install software-properties-common -y  && add-apt-repository ppa:deadsnakes/ppa -y   && apt install python3.12-full python3.12-dev python3.10-venv -y  && update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.10 1  && update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.12 2  && update-alternatives --set python3 /usr/bin/python3.12  && wget https://bootstrap.pypa.io/get-pip.py  && python3 get-pip.py # buildkit
                        
# 2025-08-11 08:10:50  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/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2025-08-11 08:10:50  0.00B 设置环境变量 DEBIAN_FRONTEND CUDA_HOME GDRCOPY_HOME NVSHMEM_DIR
ENV DEBIAN_FRONTEND=noninteractive CUDA_HOME=/usr/local/cuda GDRCOPY_HOME=/usr/src/gdrdrv-2.4.4/ NVSHMEM_DIR=/sgl-workspace/nvshmem/install
                        
# 2025-08-11 08:10:50  0.00B 定义构建参数
ARG CMAKE_BUILD_PARALLEL_LEVEL=4
                        
# 2025-08-11 08:10:50  0.00B 定义构建参数
ARG DEEPEP_COMMIT=b6ce310bb0b75079682d09bc2ebc063a074fbd58
                        
# 2025-08-11 08:10:50  0.00B 定义构建参数
ARG BUILD_TYPE=all
                        
# 2024-09-03 23:34:35  877.80MB 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}     && apt-mark hold ${NV_CUDNN_PACKAGE_NAME}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-09-03 23:34:35  0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=9.3.0.75-1
                        
# 2024-09-03 23:34:35  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-09-03 23:34:35  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-09-03 23:34:35  0.00B 设置环境变量 NV_CUDNN_PACKAGE_DEV
ENV NV_CUDNN_PACKAGE_DEV=libcudnn9-dev-cuda-12=9.3.0.75-1
                        
# 2024-09-03 23:34:35  0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn9-cuda-12=9.3.0.75-1
                        
# 2024-09-03 23:34:35  0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-12
                        
# 2024-09-03 23:34:35  0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=9.3.0.75-1
                        
# 2024-09-03 23:09:42  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2024-09-03 23:09:42  389.40KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
                        
# 2024-09-03 23:09:42  4.85GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-cudart-dev-12-6=${NV_CUDA_CUDART_DEV_VERSION}     cuda-command-line-tools-12-6=${NV_CUDA_LIB_VERSION}     cuda-minimal-build-12-6=${NV_CUDA_LIB_VERSION}     cuda-libraries-dev-12-6=${NV_CUDA_LIB_VERSION}     cuda-nvml-dev-12-6=${NV_NVML_DEV_VERSION}     ${NV_NVPROF_DEV_PACKAGE}     ${NV_LIBNPP_DEV_PACKAGE}     libcusparse-dev-12-6=${NV_LIBCUSPARSE_DEV_VERSION}     ${NV_LIBCUBLAS_DEV_PACKAGE}     ${NV_LIBNCCL_DEV_PACKAGE}     ${NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-09-03 23:09:42  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-09-03 23:09:42  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-09-03 23:09:42  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.22.3-1+cuda12.6
                        
# 2024-09-03 23:09:42  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.22.3-1
                        
# 2024-09-03 23:09:42  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.22.3-1
                        
# 2024-09-03 23:09:42  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
                        
# 2024-09-03 23:09:42  0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-6=12.6.68-1
                        
# 2024-09-03 23:09:42  0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=12.6.68-1
                        
# 2024-09-03 23:09:42  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-6=12.6.1-1
                        
# 2024-09-03 23:09:42  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.6.1-1
                        
# 2024-09-03 23:09:42  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-6=12.6.1.4-1
                        
# 2024-09-03 23:09:42  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-6
                        
# 2024-09-03 23:09:42  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=12.6.1.4-1
                        
# 2024-09-03 23:09:42  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-6=12.3.1.54-1
                        
# 2024-09-03 23:09:42  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=12.3.1.54-1
                        
# 2024-09-03 23:09:42  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.5.3.3-1
                        
# 2024-09-03 23:09:42  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=12.6.68-1
                        
# 2024-09-03 23:09:42  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=12.6.68-1
                        
# 2024-09-03 23:09:42  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.6.1-1
                        
# 2024-09-03 23:01:08  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2024-09-03 23:01:08  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2024-09-03 23:01:08  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2024-09-03 23:01:08  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2024-09-03 23:01:08  262.98KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
                        
# 2024-09-03 23:01:08  2.07GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-libraries-12-6=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-12-6=${NV_NVTX_VERSION}     libcusparse-12-6=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-09-03 23:01:08  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-09-03 23:01:08  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-09-03 23:01:08  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.22.3-1+cuda12.6
                        
# 2024-09-03 23:01:08  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.22.3-1
                        
# 2024-09-03 23:01:08  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.22.3-1
                        
# 2024-09-03 23:01:08  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2024-09-03 23:01:08  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-6=12.6.1.4-1
                        
# 2024-09-03 23:01:08  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.6.1.4-1
                        
# 2024-09-03 23:01:08  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-6
                        
# 2024-09-03 23:01:08  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.5.3.3-1
                        
# 2024-09-03 23:01:08  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-6=12.3.1.54-1
                        
# 2024-09-03 23:01:08  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.3.1.54-1
                        
# 2024-09-03 23:01:08  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.6.68-1
                        
# 2024-09-03 23:01:08  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.6.1-1
                        
# 2024-09-03 22:56:51  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2024-09-03 22:56:51  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2024-09-03 22:56:51  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2024-09-03 22:56:51  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2024-09-03 22:56:51  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2024-09-03 22:56:51  46.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf     && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
                        
# 2024-09-03 22:56:51  161.70MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-cudart-12-6=${NV_CUDA_CUDART_VERSION}     cuda-compat-12-6     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-09-03 22:56:41  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.6.1
                        
# 2024-09-03 22:56:41  10.57MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     gnupg2 curl ca-certificates &&     curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${NVARCH}/cuda-keyring_1.1-1_all.deb &&     dpkg -i cuda-keyring_1.1-1_all.deb &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-09-03 22:56:41  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-09-03 22:56:41  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-09-03 22:56:41  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.6.68-1
                        
# 2024-09-03 22:56:41  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
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.6 brand=unknown,driver>=470,driver<471 brand=grid,driver>=470,driver<471 brand=tesla,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=vapps,driver>=470,driver<471 brand=vpc,driver>=470,driver<471 brand=vcs,driver>=470,driver<471 brand=vws,driver>=470,driver<471 brand=cloudgaming,driver>=470,driver<471 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
                        
# 2024-09-03 22:56:41  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2024-08-13 17:27:24  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2024-08-13 17:27:24  77.86MB 
/bin/sh -c #(nop) ADD file:2f8a54a5efd080fb81efea702b4e3e07d946eec7563fb2281bd28950c10ec462 in / 
                        
# 2024-08-13 17:27:22  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2024-08-13 17:27:22  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2024-08-13 17:27:22  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2024-08-13 17:27:22  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息

{
    "Id": "sha256:478cde1de0144e1a915c9f41321fde28cc097c699496bc2e59c3a23a4ac23ea3",
    "RepoTags": [
        "zhuzilin/slime:latest",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/zhuzilin/slime:latest"
    ],
    "RepoDigests": [
        "zhuzilin/slime@sha256:f49dbff717111a5662131c41eaf8b6f95d75a76c47c4bfea6d597c44125c64e7",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/zhuzilin/slime@sha256:e7e13dff0f8c7dc4226e1bbe506c56e2bb8dce14ecf8a3efb1e63bda16f058ab"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-09-03T12:29:36.108445243+08:00",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/nvidia/bin",
            "NVARCH=x86_64",
            "NVIDIA_REQUIRE_CUDA=cuda\u003e=12.6 brand=unknown,driver\u003e=470,driver\u003c471 brand=grid,driver\u003e=470,driver\u003c471 brand=tesla,driver\u003e=470,driver\u003c471 brand=nvidia,driver\u003e=470,driver\u003c471 brand=quadro,driver\u003e=470,driver\u003c471 brand=quadrortx,driver\u003e=470,driver\u003c471 brand=nvidiartx,driver\u003e=470,driver\u003c471 brand=vapps,driver\u003e=470,driver\u003c471 brand=vpc,driver\u003e=470,driver\u003c471 brand=vcs,driver\u003e=470,driver\u003c471 brand=vws,driver\u003e=470,driver\u003c471 brand=cloudgaming,driver\u003e=470,driver\u003c471 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",
            "NV_CUDA_CUDART_VERSION=12.6.68-1",
            "CUDA_VERSION=12.6.1",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NV_CUDA_LIB_VERSION=12.6.1-1",
            "NV_NVTX_VERSION=12.6.68-1",
            "NV_LIBNPP_VERSION=12.3.1.54-1",
            "NV_LIBNPP_PACKAGE=libnpp-12-6=12.3.1.54-1",
            "NV_LIBCUSPARSE_VERSION=12.5.3.3-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-6",
            "NV_LIBCUBLAS_VERSION=12.6.1.4-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-12-6=12.6.1.4-1",
            "NV_LIBNCCL_PACKAGE_NAME=libnccl2",
            "NV_LIBNCCL_PACKAGE_VERSION=2.22.3-1",
            "NCCL_VERSION=2.22.3-1",
            "NV_LIBNCCL_PACKAGE=libnccl2=2.22.3-1+cuda12.6",
            "NVIDIA_PRODUCT_NAME=CUDA",
            "NV_CUDA_CUDART_DEV_VERSION=12.6.68-1",
            "NV_NVML_DEV_VERSION=12.6.68-1",
            "NV_LIBCUSPARSE_DEV_VERSION=12.5.3.3-1",
            "NV_LIBNPP_DEV_VERSION=12.3.1.54-1",
            "NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-6=12.3.1.54-1",
            "NV_LIBCUBLAS_DEV_VERSION=12.6.1.4-1",
            "NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-6",
            "NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-6=12.6.1.4-1",
            "NV_CUDA_NSIGHT_COMPUTE_VERSION=12.6.1-1",
            "NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-6=12.6.1-1",
            "NV_NVPROF_VERSION=12.6.68-1",
            "NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-6=12.6.68-1",
            "NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev",
            "NV_LIBNCCL_DEV_PACKAGE_VERSION=2.22.3-1",
            "NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.22.3-1+cuda12.6",
            "LIBRARY_PATH=/usr/local/cuda/lib64/stubs",
            "NV_CUDNN_VERSION=9.3.0.75-1",
            "NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-12",
            "NV_CUDNN_PACKAGE=libcudnn9-cuda-12=9.3.0.75-1",
            "NV_CUDNN_PACKAGE_DEV=libcudnn9-dev-cuda-12=9.3.0.75-1",
            "DEBIAN_FRONTEND=noninteractive",
            "CUDA_HOME=/usr/local/cuda",
            "GDRCOPY_HOME=/usr/src/gdrdrv-2.4.4/",
            "NVSHMEM_DIR=/sgl-workspace/nvshmem/install",
            "LANG=en_US.UTF-8",
            "LANGUAGE=en_US:en",
            "LC_ALL=en_US.UTF-8"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/root/",
        "Entrypoint": [
            "/opt/nvidia/nvidia_entrypoint.sh"
        ],
        "OnBuild": null,
        "Labels": {
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            "maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "22.04"
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    "Architecture": "amd64",
    "Os": "linux",
    "Size": 29368870812,
    "GraphDriver": {
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    },
    "Metadata": {
        "LastTagTime": "2025-09-09T00:22:50.787874945+08:00"
    }
}

更多版本

docker.io/zhuzilin/slime:latest

linux/amd64 docker.io29.37GB2025-09-09 00:48

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