Master KV cache aware routing with llm-d for efficient AI inference

This post explains KV cache aware routing using llm-d, a Kubernetes-native framework aimed at enhancing AI inference efficiency. It discusses the mechanisms supporting intelligent pod routing based on cache state, showcasing how it can reduce latency and improve throughput with an impressive cache hit rate. Additionally, practical deployment details and performance metrics validate its effectiveness in real-world scenarios, emphasizing cost savings and user experience enhancements in large-scale applications.