Unfortunately, my University’s High Performance Computing Department has declined to allow me to use our internal Jupyter Hub service for an off-site conference workshop for a group of 25 Users in September.
1st notebook: 01_raw_intro
2nd notebook: 02_hll_intro.html
3rd notebook: 03_tagmaps.html
4th notebook: 04_topic_classification.html
(sorry, as a new user, I am only allowed 2 links)
Now I am looking for a place to run these four notebooks. I tend to use Azure and setting up a Kubernetes Cluster, based on the Zero to JupyterHub with Kubernetes guide. But it is a lot of work for a one-time workshop (I think I would have the technical know-how though). Perhaps I am overcomplicating things - are there any good alternatives to payed cloud providers, or maybe Cloud providers specifically tailored for University Classes?
I need these notebooks to work 100% reliable at the time of the workshop. I would say the Notebooks are medium computational intensive. They are, however, bound to specific environments with lots of packages, and I need space for users to store intermediate generated data (not more than 5GB/User). 2-4 Cores, and maybe 3-6 GB Memory per User would be good.