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

Google and Anyscale have partnered to improve the performance of Ray Serve LLM on GKE by up to 5x throughput and 8x lower latency through architectural optimizations. This maintains a developer-friendly experience while meeting demanding performance requirements. To achieve this, they introduced HAProxy integration, direct token streaming, and a v2 Ray executor backend. Developers can now use this improved platform for state-of-the-art distributed inference without sacrificing ease of use.