Jupyter Cloud is intended for individual use like prototyping code, learning a new language or run a small scale example of a program, especially for courses and lectures.
For problems and tasks that require more than the allotted quota of storage, high number of CPU cores or large amounts of RAM please consider using our HPC services,
which include a JupyterHub setup.
Overview of Jupyter Cloud cluster utilization: