Episode Details

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.