Increase worker memory capacity

[mattsmiScientific]

I've set up my own Planetary Computer hub and I can't change the default memory size of my Worker to anything larger that 2GiB. I see options in the .yaml file that may allow me to increase it but doesn't seem to work. The old Jupyter hub image from the planetary computer I was previousy using seemed to have an 8GiB per worker limit. How do I increase the memory capacity of my workers? Thanks for any help?

[TomAugspurger]

It's definitely possible, but I don't recall offhand where that's set at. https://gateway.dask.org/install-kube.html probably discusses it.

[mattsmiScientific]

Thanks @Tom - cracked it by editing the .yaml config file (example given at bottom of https://planetarycomputer.microsoft.com/docs/concepts/hub-deployment/) to set the minimum worker size to be larger return Options( Float("worker_cores", 1, min=1, max=16, label="Worker Cores"), Float("worker_memory", 8, min=8, max=32, label="Worker Memory (GiB)"), String("image", default="pangeo/pangeo-notebook:latest", label="Image"), Mapping("environment", {}, label="Environment Variables"), handler=option_handler, )

[mattsmiScientific]

Now completed