Together AI's FlashStates Boosts Agent Inference Throughput Up to 3.14x Over vLLM

Together AI, with UIUC and UT Austin, released FlashStates, which tackles prefix cache invalidation in hybrid LLMs serving agents by making KV-cache block boundaries aware of agent turns. The approach achieves up to 3.14x the throughput of vLLM.

2026-11-10 ~ 2026-11-12 · 2 related posts

• Aligning KV-cache blocks with agent turns yields up to 3x throughput gains — heghbalz · 2026-11-10
• Together AI's FlashStates hits 3.14x vLLM prefill throughput on coding-agent workloads — burny_tech · 2026-11-12