| ## Assumes you have docker installed with nvidia container container-toolkit | |
| # https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/1.13.5/install-guide.html | |
| # sudo apt-get install -y nvidia-container-toolkit-base || yay -Syu nvidia-container-toolkit || echo etc... | |
| ## Try to start an existing container otherwise create a new one | |
| docker start jupyter 2> /dev/null || \ | |
| docker run -it \ | |
| -d \ | |
| --gpus all \ | |
| -p 8888:8888 \ | |
| --name jupyter \ | |
| --user root \ | |
| -e NB_USER="$USER" \ | |
| -e CHOWN_HOME=yes \ | |
| -e GRANT_SUDO=yes \ | |
| -w "/home/${NB_USER}" \ | |
| -v "$PWD":"/home/$USER/work" \ | |
| jupyter/base-notebook | |
| ## `docker logs jupyter` to get the URL link and token e.g. | |
| ## http://127.0.0.1:8888/lab?token=blahblahblahblabhlaabhalbhalbhal | |