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Episode 84: What’s the real infrastructure powering every mind-blowing AI app and model you see today—and are we heading for a “compute bubble”? Nathan Lands (https://x.com/NathanLands) is joined by Evan Conrad (https://x.com/NathanLands), CEO of SF Compute and a leading expert in data centers and AI infrastructure.

Evan, previously an AI audio model founder, now leads SF Compute—building a groundbreaking spot market for AI compute that transforms supercomputers into a tradable, financeable commodity. He’s at the heart of the rapidly growing AI data center industry, shaping how AI is built, scaled, and funded.

This episode pulls back the curtain on the biggest physical build-out in tech history—compute infrastructure. Nathan and Evan break down how AI companies actually get the raw power they need, the economics behind GPU clusters, credit risk bubbles, power constraints in the US vs. China, and why making compute tradable could make or break the future of AI. Whether you’re an investor, founder, or just love tech, this is your crash course in the “invisible” industry driving the AI revolution.