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
- 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/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list
这里如果要使用一些试验阶段的新特性还需要添加特殊的分支
curl -s -L https://nvidia.github.io/nvidia-container-runtime/experimental/$distribution/nvidia-container-runtime.list | sudo tee /etc/apt/sources.list.d/nvidia-container-runtime.list
- 安装
nvidia-docker2安装包
sudo apt-get update
sudo apt-get install -y nvidia-docker2
- 重启docker
sudo systemctl restart docker
- 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
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 |
|=============================================================================|
+-----------------------------------------------------------------------------+
Resources
- Installation Guide — NVIDIA Cloud Native Technologies documentation
