Flyte enables production-grade orchestration for machine learning workflows and data processing created to accelerate local workflows to production.

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How do you handle auto-scaling with multi-cluster deployments? I was using Karpenter from a recommendation from Ketan when I was running a single cluster flyte-core.

Do I just deploy karpenter on each cluster?

and what happens if you don't do any execution cluster label configurations?

<@U047KD38XEU>
&gt; Do I just deploy karpenter on each cluster?
I'd say so, specifically, on the data plane clusters

&gt; and what happens if you don't do any execution cluster label configurations?
good question. I'll test and will let you know. Already checked the code but still unsure.