Together AI Releases Together Compiler: Agents Make Inference Up to 2.6x Faster
Together AI introduced Together Compiler (TKCC), an agent-driven system that continuously re-optimizes inference as production traffic changes. It uses coding agents to rewrite a model's forward pass)Skip and a persistent engine with hot reload to measure candidates, achieving up to 2.6x higher throughput than best published configurations within 24 hours. The system runs on multiple hardware platforms and has been tested on several models, with gains ranging from 4% to 2.6x depending on the setting.
Why it matters: This is a concrete, recent AI development with measurable performance gains and a novel approach to inference optimization, offering practical value for developers and researchers.