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This is really cool, especially with enterprises moving to using LLMs in production. These K8s tools make a lot of sense.
Thanks! Kubernetes provides some solid building blocks for training LLMs. I believe that what is missing is a little tooling to link together those primitives into a streamlined ML DevX.
This is awesome, been needing something like this for a while for our workflows.
If you can make sure all the resources are namespaced well I’d actually start moving some local workloads to our GKE cluster. Very nice work!