Issue No. 43Week ending Sunday, October 25, 2026628 episodes · 2772 articles
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The Programmable Data Center — Evan Conrad, SF Compute

With swyx, Evan Conrad · Sunday, October 25, 2026

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.

Key takeaways

  • Compute sellers dump unreserved near-term capacity at steep discounts because an unsold GPU hour instantly loses all value once the clock runs out. Read more →
  • Virtualized GPUs of the same SKU often suffer up to a 40 percent performance drop across different operators and configurations, which prevents compute from trading like a standard commodity contract. Read more →
  • Trading compute looks like software until you have to physically deliver it, forcing SF Compute to run physical data center operations instead of staying a clean marketplace broker. Read more →
  • Evan Conrad argues that pure cash-settled compute derivatives create severe basis risk because spot indexes track thin, unrepresentative transaction data. Read more →
  • SF Compute partners directly with power owners and regional data centers to turn raw megawatts into institutional GPU clouds without owning real estate. Read more →
  • Cloud operators like CoreWeave, Lambda, and Crusoe cannot build a GPU exchange because their direct hardware ownership invites market manipulation on forward contracts. Read more →

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