Reengineering
Purpose-built AI inference architecture: Reengineering compute design
Over the past several years, the lion’s share of artificial intelligence (AI) investment has poured into training infrastructure—massive clusters designed to crunch through oceans of data, where speed and energy efficiency take a back seat to sheer computational scale. Training systems can afford to be slow and power-hungry; if it takes an extra day or…