MQA and GQA shrink the KV cache, the thing that bottlenecks LLM serving. The signal is knowing they share key/value heads across query heads to cut memory and bandwidth, with GQA as the quality-preserving middle ground. Here is the answer.
Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.
MQA and GQA shrink the KV cache, the thing that bottlenecks LLM serving. The signal is knowing they share key/value heads across query heads to cut memory and bandwidth, with GQA as the quality-preserving middle ground. Here is the answer.
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