Evolution and Refactoring of KV Cache Architecture in LLM Inference

As attention patterns become more complex, KV Cache management has emerged as one of the most challenging problems in LLM inference systems. Projects like TokenSpeed are refactoring their schedulers, moving away from Radix Tree memory pools to flat, block-based architectures to adapt to these evolving demands.

2026-07-17 ~ 2026-07-17 · 2 related posts

• The Evolution of Memory Architecture for KV Cache Management — AccBalanced · 2026-07-17
• TokenSpeed Refactors KV Cache Architecture — AccBalanced · 2026-07-17