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Andrew Feldman: Building the World’s Largest and Fastest Computer Chip for AI

Generative Now | AI Builders on Creating the Future

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The Evolution of Compute Power in AI Models

This chapter explores the increasing need for compute power in AI models, specifically focusing on the challenges of distributed compute and the advancements in AI compute chips. It discusses the benefits of using a larger chip to improve computational efficiency, reduce clustering needs, and enhance communication speeds. The conversation also touches on the impact of compute power on training speed, inference latency, and the strategic importance of leveraging AI at scale.

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