Shared-KV attention: efficiency and compute trade-offs
A publication dated April 29, 2026 compares high-order MQA and MLA: sharing KV can ease cache pressure at the cost of more computation per token.
Source: zhuanlan.zhihu.com (zhuanlan.zhihu.com). Text prepared with AI from this source.
What happened and what to do
The April 29, 2026 publication describes an attention architecture using shared-KV MQA, 128 (64) query heads, and a dimension of 512 per head. By contrast, it presents MLA as a low-rank design focused on the KV cache. The comparison highlights a trade-off between cache efficiency, computation per token, and representational capacity.
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