Quadric bets on a unified future for Edge AI
(October 15, 2026) New Electronics – Quadric CEO and co-founder Veerbhan Kheterpal explains why heterogeneous NPUs that pair a fixed-function accelerator with a slower CPU, DSP or GPU fallback core struggle as AI models evolve, and how the Chimera GPNPU runs matrix, vector and scalar code from one compiler and one code stream on a single core. He also discusses why a growing share of inference is moving from the cloud to devices and on-premise systems, and why long-life products such as vehicles, industrial equipment and traffic cameras need programmable AI hardware.