CME Group Plans World’s First AI Compute Futures Market
AI model training and inference depend heavily on GPUs, but rental rates vary widely across cloud platforms, regions and contracts, making it difficult for companies to forecast long-term costs. Silicon Data launched its H100 Rental Index on May 20, 2025, aggregating 3.5 million global quotes to establish a daily rental-rate benchmark for NVIDIA H100 GPUs and lay the groundwork for the financialization of computing power.
CME Group and Silicon Data announced on May 12, 2026, that they planned to launch the world’s first compute futures market later in 2026, subject to regulatory review. The contracts will be priced against Silicon Data’s daily on-demand GPU rental index and track hourly H100 rental rates, allowing AI companies, cloud providers and financial institutions to manage price volatility in the multitrillion-dollar compute market. An exact launch date and contract specifications have yet to be disclosed.
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The history behind this eventCFTC Seeks Input on AI Compute Futures as CME Targets October Launch
Demand for computing capacity has surged as companies train and deploy artificial intelligence models, while access remains constrained by advanced chips, data-center space and electricity. Standardized AI compute futures could give cloud providers, developers and investors a way to hedge capacity costs and trade expectations for future supply and demand, potentially creating a new price-discovery mechanism for a resource increasingly treated as a strategic commodity.
The U.S. Commodity Futures Trading Commission is preparing to seek public comment on AI compute futures contracts, a regulatory step that could affect listing timelines at CME Group and Intercontinental Exchange. CME plans to launch two compute futures contracts on Oct. 5, aiming to turn scarce AI infrastructure capacity into a tradable and hedgeable asset. The consultation will help shape how the emerging contracts are structured and overseen before trading begins.
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