Docs about RAM choices for instructors

[consideRatio]

• Instructors can suggest a memory profile for users to save compute resources depending on what kind of requirements they guess they will have for the tutorial
• What memory shortage will lead to
  • Always something like process termination by Linux inside our container
  • Note the case for us, but... if we had configured a memory limit higher than our memory request in k8s for the container, the entire container may get forced to shut down.
• How to gauge your own memory requirements?
  • JupyterLab status bar in the lower left corner
    
  • top
• What consumes memory?
  • Each notebook which is open is a kernel, and each kernel consumes memory depending on what has been run in it. Avoid running notebooks in parallel to optimize memory.