scriptdragon/smh_h9 repository overview

⁠需要做的准备工作

⁠一. 主机安装支持nvidia的docker

参考: NVIDIA Docker安装指南⁠

1. 添加NVIDIA Docker源：

   distribution=$(. /etc/os-release;echo $ID$VERSION_ID) \
   && curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg \
   && curl -s -L https://nvidia.github.io/libnvidia-container/$distribution/libnvidia-container.list | \
   sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' | \
   sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
   

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2. 安装NVIDIA Container Toolkit：

   sudo apt-get update \
   && sudo apt-get install -y nvidia-container-toolkit-base
   

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3. 安装nvidia-docker2：

   apt-get install -y nvidia-docker2 && nvidia-ctk runtime configure --runtime=docker
   

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4. 重启Docker服务：

   systemctl restart docker
   

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⁠二. 运行容器

启动容器，映射配置文件和硬盘挂载路径

docker run -dit --restart=always --name=h9 --gpus all -v /mnt:/mnt -v $(pwd)/config.yaml:/opt/sp/linux/config.yaml --privileged scriptdragon/smh_h9