Report: GKE Inference Gateway delivers up to 92% faster AI responses

Google Kubernetes Engine (GKE) Inference Gateway delivers significantly faster AI responses by leveraging advanced capabilities like prefix caching and model-aware routing, outperforming other managed Kubernetes services. This results in excellent hardware utilization, ultra-fast response times, and reduced costs. Engineers should consider using GKE Inference Gateway for large language models (LLMs) and applications that require high-performance inference at scale. The GKE Inference Gateway has been successfully used by Snap Inc. to achieve high-performance inference at scale. Engineers can use prefix caching to optimize LLM performance by storing and reusing activation states of long, repetitive prompt prefixes.