FlashState inference system doubles vLLM throughput on GLM 5.3 Flash, cuts latency 3.7x
zainhas · x · 2026-11-10
weilix introduced FlashState ⚡, an inference system that flexibly manages the prefix cache of hybrid LLMs, designed for agentic workloads.
Results on GLM 5.3 Flash:
- More than doubles vLLM's throughput and provider profit
- Cuts latency by 3.7x
- Reduces user cost by 2.5x
The core idea is cache scheduling tuned for the repeated state/prefix reuse patterns of agent traffic, improving throughput, latency, and cost simultaneously.
More from Infra
- Google ships four distinct TPU systems in one generation in a single year, adding TPU 8i Max and 8tx — sundarpichai · 2026-11-10
- hf-mem 1.0.0 nears stable release with vLLM/SGLang-aligned memory estimates — anton_lozhkov · 2026-11-10
- Documentary visits Delta, Utah: a 4,000-person farming town hosting the world's biggest data center campus — zealcaiden · 2026-11-10
- Meta's Muse Ember matches Claude Haiku 5.5 on Intelligence Index at a third of the cost — ArtificialAnlys · 2026-11-10
- Hot agent harnesses share one thing: they run on Durable Objects — irvinebroque · 2026-11-10
- Guide: best uncensored local AI models per category and a 4-step Ollama setup for $0 — udmrzn · 2026-11-10