Hey folks. I have a Ray Cluster running on GCP and am relatively new to MLOps -- from reading this blog post https://flyte.org/blog/ray-and-flyte I did not fully grasp the benefits of running Ray inside Flyte -- can some users of both explain the benefits to me?

i think the benefits are ephemeral cluster • Automatic setup and teardown cluster • Cluster has all your python dependencies installed and is reproducible • you can create one cluster per execution / per user and they can be independent

My usecase is maybe a bit different, there are no users other than my service, which launches predefined jobs on the cluster.

and you want the cluster to be up all the time?

Yeah, ideally:)

if so, I think adding a Flyte Agent would be easy or run Ray in client mode

I see -- makes sense! Thanks for the advice

or simply run the ray head node in client mode in a flyte pod

cc @acceptable-window-92672 Ray agent

working on it