Key Highlights

  • CME Group and Silicon Data plan to launch two compute futures contracts on October 5, pending regulatory review, tied to GPU rental costs
  • The contracts will track hourly rental prices for Nvidia's H100 and next-generation Blackwell B200 chips through Silicon Data's benchmark indexes
  • Each contract represents a month's worth of GPU rental and will be listed on NYMEX
  • The launch comes as Wall Street explores new ways to finance AI infrastructure, including a separate effort involving Nvidia and major asset managers that could direct up to $500 billion into the sector

CME Group and Silicon Data to Launch First Compute Futures Contracts

CME Group (NASDAQ:CME) and Silicon Data announced plans to launch two compute futures contracts on October 5, pending regulatory review, creating a new way for companies to hedge the cost of the computing power used to train and run artificial intelligence models. The contracts, called Silicon Data H100 Rental index Futures and Silicon Data B200 Rental Index Futures, will track indexes measuring hourly GPU rental costs published by Silicon Data, which is backed by trading firm DRW.

Each contract will represent a month's worth of rental cost for Nvidia's (NASDAQ:NVDA) H100 chip and its next-generation Blackwell B200 chip, respectively. The contracts will be listed on NYMEX. A CME Group executive said compute has become central to the AI economy and that the new contracts would bring the same kind of price transparency to computing costs that Derivatives markets have historically brought to commodities such as oil.

New Market Aims to Standardize Pricing for Scarce GPU Capacity

Silicon Data's chief executive said the futures contracts would give the market a public, tradable reference price for GPU capacity for the first time, addressing what had previously been a fragmented and opaque pricing environment in which companies buying similar computing capacity often paid significantly different prices. Explosive Demand for AI computing power has driven sharp price swings, exposing a gap in the risk-management tools available to companies building AI infrastructure.

The new contracts are intended to close that gap, giving AI developers, hyperscalers, and investors a standardized way to lock in costs or gain exposure to the price of computing capacity itself, rather than investing directly in data centers, chips, or the companies that build them.

Launch Follows Broader Wall Street Push Into AI Infrastructure Financing

The compute futures launch comes as financial institutions pursue new mechanisms to finance the AI buildout. Nvidia recently said it was working with several of the world's largest asset managers on an effort that could direct as much as $500 billion into AI infrastructure financing, treating computing capacity as a bankable asset similar to Commercial Real Estate or toll roads. Compute futures would add another layer to that emerging financial ecosystem, giving Market Participants additional tools to manage exposure to the cost of AI infrastructure.