title: "How KV caches impact time to first token for LLMs"

KV caching is a technique used to address latency issues in Large Language Models (LLMs). This method specifically impacts the time to first token (TTFT), which is a critical performance metric for real-time applications. By examining the relationship between KV caching and TTFT, it is possible to understand its effect on overall latency and throughput efficiency during inference.