The Sequence Opinion - Issue #966: The Forward Curve of Intelligence

AI companies and GPU operators face opposing risks regarding GPU rental prices, with AI firms fearing increases and operators fearing decreases. GPU derivatives aim to create a market to make compute costs and revenues predictable, addressing this financial disagreement.

Several entities and proposed contracts are working towards building this market, but challenges like defining compute units, basis risk, and thin liquidity persist.

The author suggests that the larger opportunity lies in financing and compute treasury software, emphasizing the need for an abstraction that balances usefulness with necessary detail.

• AI companies and GPU operators have opposing fears about GPU rental price fluctuations (rising vs. falling).
• GPU derivatives are being developed to create a market for predictable compute costs and revenues.
• Key players and proposed contracts are emerging, including ORNN, Silicon Data, Liquid Compute, Architect, and CME/ICE contracts.
• Challenges include defining a compute unit, basis risk, liquidity, benchmarks, hardware/software demand shifts, and margin calls.
• The author believes the main opportunity is in financing and compute treasury software.
• An effective abstraction needs to hide complexity while retaining crucial details for functionality.
  https://bender.layer3.press/articles/670d297b-db45-4f1b-bd30-1473beea301a