Grouped Query Attention Trend 2026

Grouped Query Attention (GQA) splits query heads into groups that share a single key/value head, slashing memory overhead while preserving multi-head expressiveness. Used in large language models like Llama 3, it accelerates inference and reduces cache costs. AI researchers, model deployers, and edge-device developers benefit from faster, cheaper generation without sacrificing accuracy.