AI Energy Crisis Boosts Interest in Chips That Do It All

Sid Sheth, founder and CEO of d-Matrix, holds the company’s Jayhawk and Nighthawk chiplets.

2024-04-02    

This process, often referred to as in-memory computing, has faced technical challenges and is just now moving beyond the research stage. And with AI’s electricity use raising serious questions about its economic viability and environmental impact, techniques that could make AI more energy efficient might pay off big. This has made in-memory computing the subject of increased excitement—and even meant it’s begun to get caught up in the broader geopolitical wrangling over semiconductors.

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