Getting started with modern AI frameworks and scaling them on supercomputing cluster

Get access to a JupyterHub instance with access to an A40 GPU on Alex:

• Go to https://hub.nhr.fau.de/jupyter-training-nhr-grad-school-access.php
• Enter your e-mail address and submit
• Click on the link in the e-mail you received
• Accept terms and conditions
• Choose profile "Local on jupyterhub (systemd) - 2 cores, 4GB, unlimited)"
• Click on "Start my server"
• Using the Launcher, choose Other -> Terminal, and then perform experiments
• After the experiments: Stop the server:
  • Go to "File -> Hub Control Panel"
  • Click on "Stop my server"
  • Wait
  • If you don't stop the server, resources will be blocked until the cluster job runs out (up to eight hours)

⚠️🚨 IMPORTANT🚨 ⚠️
===================

1. Please ensure that you can access the JupyterHub provided by FAU. We will primarily being using the included shell for interactive experiments. 

2. Please know your cluster username.

3. While you are not responsible for knowing extensive shell-fu, It helps to know at least how to execute basic file editing/exploration commands in BASH (e.g., `cd`, `cp`, `source`, `vim/nano/emacs`, `ls`, etc) If you need to (re)-familiarize yourself with the terminal/BASH/shell-scripting, please have a look here.

All code/scripts/data will be provided by the course instructors, which can be found and downloaded here .