首先需要保证docker engine已经安装成功，具体见：
https://www.cnblogs.com/devilmaycry812839668/p/17269122.html
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nvidia docker的安装参考官方资料：
Setting up NVIDIA Container Toolkit
Setup the package repository and the GPG key:
distribution=$(. /etc/os-release;echo $ID$VERSION_ID) \
&& 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/$distribution/libnvidia-container.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
Install the nvidia-container-toolkit package (and dependencies) after updating the package listing:
sudo apt-get update
sudo apt-get install -y nvidia-container-toolkit
Configure the Docker daemon to recognize the NVIDIA Container Runtime:
sudo nvidia-ctk runtime configure --runtime=docker
Restart the Docker daemon to complete the installation after setting the default runtime:
sudo systemctl restart docker
At this point, a working setup can be tested by running a base CUDA container:
sudo docker run --rm --runtime=nvidia --gpus all nvidia/cuda:11.6.2-base-ubuntu20.04 nvidia-smi
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This should result in a console output shown below:
安装成功。
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标签：container,ubuntu22.04,sudo,toolkit,https,nvidia,docker From： https://www.cnblogs.com/devilmaycry812839668/p/17269217.html