Confronting AI’s Next Big Challenge: Inference Compute
While AI training garners most of the spotlight — and investment — the demands of AI inference are shaping up to be an even bigger challenge. In this episode of The New Stack Makers, Sid Sheth, founder and CEO of d-Matrix, argues that inference is anything but one-size-fits-all. Different use cases — from low-cost to high-interactivity or throughput-optimized — require tailored hardware, and existing GPU architectures aren’t built to address all these needs simultaneously.