Scaling Ray Serve LLM on GKE: Performance without losing the developer experience

Developers looking for LLM inference and model serving often turn to Ray Serve , a scalable model serving library with developer-friendly, Python-native APIs built by Anyscale. Combined with Google Kubernetes Engine (GKE), developers have a powerful, unified platform optimized for demanding LLM serving use cases, spanning from initial model development to online production serving. However, that flexibility and feature set used to come at a cost to performance.