# Sourcery: Andrew Feldman on AI Chips, Inference, and the Data Center Race

Page: https://stenobird.com/podcast/ai-podcast-summaries-from-transcripted-ai-video-7554283/sourcery-andrew-feldman-on-ai-chips-inference-and-the-data-center-race
Text version: https://stenobird.com/podcast/ai-podcast-summaries-from-transcripted-ai-video-7554283/sourcery-andrew-feldman-on-ai-chips-inference-and-the-data-center-race.md
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Published: 2026-07-13T13:42:25+00:00
Episode link: https://transcripted.ai/episode/sourcery/andrewfeldmanonbuildingachip58xlargerthannvidias
Audio file: https://img.transcripted.ai/podcastVideoLong/19g4rVKRMBdTDfNuxzlp.mp4
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Duration seconds: 188

## Resource

AI is rewriting the hardware stack, and Andrew Feldman explains why inference, data centers, and co-design are now the real battleground. In this full Sourcery episode, Molly O'Shea talks with Feldman about the chip shortage, the shift from training to real-time AI inference, and why new architectures can unlock major performance gains. This summary distills the original interview into a quick 10-minute recap, instead of the full-length conversation, so you can catch the key ideas fast. You’ll learn how AI demand is reshaping Silicon Valley, why infrastructure is straining to keep up with software-speed growth, and what hardware-software optimization means for startups and big tech alike. Feldman also shares thoughts on running a public company, the importance of integrity, and the long-term potential of AI for cancer research, education, and safer autonomous driving. Listen now to get the key ideas in minutes.

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## Transcript

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