安裝好doker之后，繼續安裝 NVIDIA Container Toolkit
官方安裝介紹：https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html
設定Docker
curl https://get.docker.com | sh \
&& sudo systemctl start docker \
&& sudo systemctl enable docker
設定 NVIDIA Container Toolkit
官方代碼：
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/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list
可能出現兩個問題：
gpg: 找不到有效的 OpenPGP (源于指令：curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add -)
E: 無法定位軟體包 nvidia-docker2 (源于指令：curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list)
需要把ip地址寫入host檔案中！！
sudo vi /etc/hosts
復制以下ip到host中
185.199.108.153 nvidia.github.io
185.199.109.153 nvidia.github.io
185.199.110.153 nvidia.github.io
185.199.111.153 nvidia.github.io
重復官方代碼即可
安裝 nvidia docker2
sudo apt-get update
sudo apt-get install -y nvidia-docker2
重啟docker
sudo systemctl restart docker
測驗
sudo docker run --gpus all --rm nvidia/cuda nvidia-smi
讓 Docker 使用運行鏡像（如果沒有就下載），創建一個容器，并在容器中運行 nvidia-smi 命令，–rm: 運行結束后，洗掉容器
結果為：
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 450.51.06 Driver Version: 450.51.06 CUDA Version: 11.0 |
|-------------------------------+----------------------+----------------------+
| 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 Tesla T4 On | 00000000:00:1E.0 Off | 0 |
| N/A 34C P8 9W / 70W | 0MiB / 15109MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| No running processes found |
+-----------------------------------------------------------------------------+
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標籤：區塊鏈
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