Hi, I’m trying to get different subflows running on pods with different resources, like high memory for one and GPUs for another. It seems like creating different worker pools might be the way to go, but I’m having issues setting up other worker pools. I tried to create one for GPUs, and started out simple by basically just duplicating my default pool as a starting point. I then realized I don’t think the

helm install

will work if its within the same namespace, so I tried running it in a new namespace, but its just showing

Error from server (BadRequest): container "prefect-worker" in pod "prefect-worker-8678675458-kznph" is waiting to start: CreateContainerConfigError

in the worker pod logs. Any advice on the general setup for multiple worker pools inside k8s?

hi Andrew! you should be able to deploy more than one worker into a single namespace. it’s documented in the worker readme - just pass in a value to fullnameoverride!

perfect, I hadn’t seen that readme. looks like the worker is now creating, I’ll give that a try! thanks!

nope! the worker grabs the current job template when a run of a deployment starts