Every AI Model Needs Its Own Chip, says Taalas

Ljubisa Bajic's New Startup

One of the signs of the times is the number of start-ups dedicated to building silicon to process machine learning and AI workloads. It’s a fun challenge to take on NVIDIA in data center training, CPUs or add-in cards on data center inference, or novel compute methods for edge inference. One of the benefits of using ‘AI focused’ chips is usually in powe…