The Economics of Open-Weight Inference

AI compute research and GPU market publications

Ornn publishes first-party research on GPU rental prices, compute markets, depreciation, procurement, memory, open-weight inference, and compute futures. This hub collects original summaries and the open-weight inference paper; the full essays remain on Substack.

On Sovereign Compute

In the world of compute, a lot has changed in the last twelve months.

Advanced AI chips have crossed from commercial input to sovereign commodity. Export licensing, rare-earth retaliation, national subsidy races, and a wave of AI-sovereignty pledges now treat GPU capacity the way states once treated oil, rare earths, and LNG: once a resource is contested, governments secure access and permanently change how the market clears. Fabrication, high-bandwidth memory, and advanced packaging sit in a handful of jurisdictions and firms, so a single policy or geographic shock can reprice fleets in days. The essay’s thesis is that compute is already on that historical arc, yet it still lacks the benchmarks and hedging tools those earlier commodities eventually required. The practical market question is how operators, buyers, and lenders should budget and finance GPU capacity when jurisdiction—not just hardware generation—can move the price overnight.

Read the full essay on Substack