介绍KV缓存压缩技术及其基础设施挑战

Weian Mao

🔗 Our new blog digs into a side of KV cache efficiency that papers usually skip: https://t.co/ytvGPQlXDx
Most work here is about the algorithm: eviction papers, for instance, focus on which entries are worth keeping. But the algorithm only helps if the systems underneath can actually run it, and that infrastructure side gets far less attention — even when it matters more in practice.
The blog walks through those infra problems hiding under the KV cache and how existing work gets past them — across compression, eviction, video generation, and more. Take eviction-based KV cache compression alone:

1. FlashAttention never writes the attention scores these methods need to read.
2. Evicting tokens often frees ~0 GPU memory under paged attention — survivors stay scattered, so almost no block comes fully free.

A tour of the problems and the solutions, TriAttention among them.

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