# 实践：快速搭建一个可运行的docker gpu环境



## 安装Docker和NVIDIA Docker

安装
```
sudo apt-get update
sudo apt-get install docker.io
```
验证
```
- docker info
```


## 检查GPU驱动程序

nvidia-smi

```
2.1. Verify You Have a CUDA-Capable GPU
lspci | grep -i nvidia
00:09.0 3D controller: NVIDIA Corporation GP104GL [Tesla P4] (rev a1)

2.2. Verify You Have a Supported Version of Linux
```
uname -m && cat /etc/*release
```

2.3. Verify the System Has gcc Installed
gcc --version
```



## 安装NVIDIA Container Toolkit

检查是否安装 nvidia-container-toolkit 软件包：
```
$ dpkg -l | grep nvidia-container-toolkit
ii  nvidia-container-toolkit               1.13.5-1                                amd64        NVIDIA Container toolkit
ii  nvidia-container-toolkit-base          1.13.5-1                                amd64        NVIDIA Container Toolkit Base
```

添加 NVIDIA Container Toolkit APT 仓库
```
distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add -
curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker-$distribution.list


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/stable/deb/nvidia-container-toolkit.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
```

### 备选安装

Configure the production repository:
```
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/stable/deb/nvidia-container-toolkit.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

Optionally, configure the repository to use experimental packages:
sed -i -e '/experimental/ s/^#//g' /etc/apt/sources.list.d/nvidia-container-toolkit.list
```

### 安装

更新 APT 软件包索引:

```
sudo apt-get update
```

安装 NVIDIA Container Toolkit 软件包
```
sudo apt-get install -y nvidia-container-toolkit
```

重新启动 Docker 服务：
```
sudo systemctl restart docker
```

验证安装：
```
sudo docker run --rm --gpus all nvidia/cuda:11.4-base nvidia-smi
```