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We can use kubespawner to create different profiles on the Jhub for users that need gpu access, or more cpu requirements, etc. We can set these up through the config files, and the first profile we want to add is one that simply spawns directly into rstudio. We will also want to add a profile later with alphafold and elevated resource permissions.
The text was updated successfully, but these errors were encountered:
I've managed to create a profile that spawns directly into rstudio. This is visible on https://staging.jupyter.libretexts.org. The configuration option for this was default_url under kubespawner_override.
Profiles with higher memory and cpu limits have been set up and verified to be funcitonal on staging jhub. Now we just need to figure out how to add GPU profiels when the time comes for that.
We can use kubespawner to create different profiles on the Jhub for users that need gpu access, or more cpu requirements, etc. We can set these up through the config files, and the first profile we want to add is one that simply spawns directly into rstudio. We will also want to add a profile later with alphafold and elevated resource permissions.
The text was updated successfully, but these errors were encountered: