Why GPU Prices Plummet Right Before They Expire
Evan Conrad explains GPU forward curves, expiring spot compute, and the pricing gap between B300 chips and inference revenue.
10+ hours of podcasts, in 5 minutes.
Evan Conrad, founder of SF Compute, joins swyx to explain why creating an open compute trading market requires building the operational stack of a cloud for physical settlement. They discuss the mechanics of GPU forward curves, multi-constraint order books, and the structural reason NVIDIA and hyperscalers cannot operate an exchange. Conrad also outlines how SF Compute programmatically virtualizes data centers and subdivides InfiniBand fabrics to enable sovereign compute and lower financing costs across the industry.
Evan Conrad explains GPU forward curves, expiring spot compute, and the pricing gap between B300 chips and inference revenue.
Evan Conrad explains how SF Compute handles GPU performance variance and lets flexible teams reclaim 25 percent of spend through market arbitrage.
Evan Conrad explains why settling GPU trades means burning in hardware, swapping bad nodes, and managing data center backplanes directly.
Cash-settled GPU derivatives fail without physical delivery. Evan Conrad explains why compute markets need real infrastructure before financial hedges.
Evan Conrad explains how SF Compute turns raw global megawatts into programmable GPU clusters with automated InfiniBand fabric subdivision.
NVIDIA and cloud giants cannot build a GPU exchange because market neutrality kills high-margin cloud revenue. Evan Conrad explains why.
10+ hours of podcasts, distilled into one 5-minute read. Free, every Sunday.
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