To be honest, I don't know because I have not hit many of those limits due to what I would call "moderate" scale. So far, I have just provisioned enough pods to handle the traffic as-is without using KubeRay. So k8s is handling the load balancing adequately at the moment, but Ray serve is not cluster-aware, only pod aware, for now.
Have you considered using vLLM on top of Ray Serve (on EKS with KubeRay)? KubeRay makes Ray cluster-aware and there could be some optimizations you could make e.g. keeping that GPU fully utilized all the time :)
Thanks for the candid feedback