The Batching Effect: Why Your Slow Transformer Is an Inference Problem, Not a Model Problem

Most developers attribute poor Transformer performance to architectural limitations, yet the real bottleneck lies in inference implementation. This article demonstrates that simple batching strategies can deliver 36-60% latency improvements without any model changes, highlighting a critical insight: optimization should prioritize inference code optimization before considering expensive hardware upgrades or model redesigns.