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Kimi KDA, DeepSeek MLA and V4 CSA/HCA: Long-Context Cache and GPU Memory

This story is from 2026-10-21. It is preserved in the archive; the latest stories are on the live feed.

[!NOTE] Executive Summary (TL;DR) Novel Attention Breakdown : Thorough analysis of Kimi K3's hybrid 69-layer KDA (Kimi Dynamic Attention) + 24-layer Gated MLA design, dispelling the myth of universal constant-state caching. Memory Scaling Profiles : Blending recurrent linear state updates with gate…

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  1. 2026-10-21 08:44 · DEV Community — AI
    Kimi KDA, DeepSeek MLA and V4 CSA/HCA: Long-Context Cache and GPU Memory

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