Optimizing LLM Performance: Beyond Simple Averages in Inference Benchmarking

As Large Language Models move into production, accurately measuring latency like TTFT and ITL is essential for ensuring a seamless user experience. By analyzing raw latency distributions instead of aggregated averages, developers can uncover critical system bottlenecks such as KV cache eviction and network instability that traditional tools often miss.