AI computing power becomes a tradable asset class as CME starts futures
CME Group is launching the first futures contracts tied to the cost of AI computing power, specifically for Nvidia's H100 and B200 GPUs. This move aims to create a tradable asset class that allows companies to hedge against the volatile costs of AI infrastructure.
Why it matters
It signals the financialization of AI resources, treating computing power as a commodity similar to electricity or oil.
Computing power is emerging as a new tradable asset class, with CME Group set to launch the first futures contracts tied to the cost of running the chips that power artificial intelligence.
The exchange is partnering with Silicon Data to introduce two compute futures contracts on Oct. 5, pending regulatory approval, giving companies and investors a way to trade and hedge the price of AI computing capacity much as they do oil, electricity and other commodities.
"For years, two companies buying the exact same GPU capacity could pay wildly different prices with no way to know who got the better deal. They will now have a benchmark to check that against," Carmen Li, CEO of Silicon Data, said in a statement. "Compute futures give the market something it's never had: a public, tradable reference price for the resource every AI system runs on."
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