安裝docker
參考這篇文章：Ubuntu22.04安裝docker - 掘金
安裝nvidia-docker
參考這篇文章：Ubuntu 22.04 LTS : NVIDIA Container Toolkit : Install : Server World
流程：
curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | apt-key add - curl -s -L https://nvidia.github.io/nvidia-docker/ubuntu22.04/nvidia-docker.list > /etc/apt/sources.list.d/nvidia-docker.list apt update apt -y install nvidia-container-toolkit systemctl restart docker 進(jìn)行測(cè)試（拉取nvidia cuda11.5鏡像并運(yùn)行nvidia-smi)
docker run --gpus all nvidia/cuda:11.5.2-base-ubuntu20.04 nvidia-smi # pull Cuda 10.2 image and connect to the interactive session, then run [nvidia-smi]
root@dlp:~# docker run -it --gpus all nvidia/cuda:10.2-base-ubuntu18.04 bash
root@08ae46c44932:/# nvidia-smi
Mon Aug 29 06:04:46 2022
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 510.85.02 Driver Version: 510.85.02 CUDA Version: 11.6 |
|-------------------------------+----------------------+----------------------+
| 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 NVIDIA GeForce ... Off | 00000000:05:00.0 Off | N/A |
| 0% 50C P5 10W / 120W | 0MiB / 6144MiB | 1% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| No running processes found |
+-----------------------------------------------------------------------------+參考文章：
Ubuntu22.04安裝docker - 掘金文章來(lái)源：http://www.zghlxwxcb.cn/news/detail-785070.html
Ubuntu 22.04 LTS : NVIDIA Container Toolkit : Install : Server World文章來(lái)源地址http://www.zghlxwxcb.cn/news/detail-785070.html
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