Researchers unveiled a next-generation AI accelerator that reportedly runs large language models up to ten times faster than last year’s leading chips, with significantly lower energy consumption. Analysts say the architecture could reshape edge computing and drive a new wave of on-device AI applications.
The announcement sent ripples through the semiconductor market, with competing vendors hinting at accelerated roadmaps of their own.