Github repo：GitHub - NVIDIA/nvidia-docker: Build and run Docker containers leveraging NVIDIA GPUs
开始之前请确保NVIDIA Drivers和Docker已经安装好
个人理解能确保这两行正确输出就好
nvcc --version
docker
复制代码- 设置
stable存储库和密钥
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/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list
复制代码这里如果要使用一些试验阶段的新特性还需要添加特殊的分支
curl -s -L https://nvidia.github.io/nvidia-container-runtime/experimental/$distribution/nvidia-container-runtime.list | sudo tee /etc/apt/sources.list.d/nvidia-container-runtime.list 复制代码
- 安装
nvidia-docker2安装包
sudo apt-get update
sudo apt-get install -y nvidia-docker2
复制代码- 重启docker
sudo systemctl restart docker
复制代码- 用官方container测试是否安装成功
sudo docker run --rm --gpus all nvidia/cuda:11.0-base nvidia-smi
复制代码正确输出结果如下
Thu Apr 1 02:46:41 2021
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 460.39 Driver Version: 460.39 CUDA Version: 11.2 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 GeForce RTX 2060 Off | 00000000:01:00.0 On | N/A |
| N/A 37C P8 7W / N/A | 272MiB / 5926MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
+-----------------------------------------------------------------------------+
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