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AI computing power is becoming a tradable asset class as CME launches futures contracts
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." The contracts will allow buyers and sellers to trade against the rental cost of Nvidia's H100 and newer Blackwell B200 graphics processing units and will be based on Silicon Data indexes that track hourly GPU rental prices. Each contract will represent a month's rent for the Nvidia H100. The launch comes as Wall Street is finding new ways to finance and gain exposure to the enormous AI infrastructure buildout. Nvidia is working with some of the world's largest asset managers on an effort that could channel as much as $500 billion into AI infrastructure. Compute futures would add another layer to that emerging financial ecosystem. Rather than investing directly in data centers, chips or the companies building them, investors could gain exposure to the price of the underlying computing capacity itself, while AI developers and data-center operators could use the contracts to hedge their costs or revenues.
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The currency of the AI age
Why it matters: A compute futures market would bring more transparency, new ways to manage volatility and even more investment into what's quickly becoming a critical part of the economy. The big picture: Futures markets allow companies to hedge against swings in prices. If you're an airline, you can buy oil futures to manage costs. A farmer might buy soybean futures to hedge against how well his crop does that year. * Historically, creating a more transparent market for a commodity has unlocked more investments. Plenty of traders and investors in oil and soybeans never own the underlying asset. The latest: The exchange operator CME Group said Tuesday that it plans to launch two compute futures contracts on Oct. 5, "pending regulatory review." The group is working with Silicon Data, a company that publishes indexes tracking compute pricing. * Each futures contract would represent a month's worth of rent for the Nvidia H100 or its newer Nvidia Blackwell B200, per the release. * The idea is to turn compute into a "standardized, tradable commodity," Pete Keavey, global head of energy and environmental products at CME Group, said in the release. State of play: Another company, New York-based OneChronos, is also working on a compute futures marketplace and is awaiting approval from federal regulators. * The company expects it to be operational this year, CEO Kelly Littlepage tells Axios. Reality check: The big problem with treating AI compute like a commodity is that it simply is not like a commodity, Littlepage says. A bar of gold is basically like any other bar of gold, but compute is different. * "Just from an Econ 101 stance, it actually fails every measure of being a commodity since it's not fungible. It's not storable. It's not transportable. There's actually nothing about it that you would consider a commodity." Zoom in: The startup's futures market is using what's known as "combinatorial" auctions to deal with the issue. And it's working with Paul Milgrom, an economist who developed a similar system to auction wireless spectrum -- and won a Nobel Prize for his work. Between the lines: The big players in the AI market have been talking about compute as an "investable asset class" -- literally the title of the Nvidia CEO's post Monday night about the $500 billion financing deal he's ginned up with six major financial firms. * At the Milken investor conference in May, BlackRock CEO Larry Fink had a similar pitch: "I actually believe a new asset class will be buying futures of compute," he said. "We just don't have enough compute power right now." The bottom line: AI compute is fast becoming the metaphorical currency of our time. Now, the race is on to make it more like a literal currency.
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CME Group to launch GPU compute futures contracts in October By Investing.com
CHICAGO - CME Group and Silicon Data announced plans to launch two compute futures contracts on October 5, 2026, pending regulatory review, according to a press release statement. The contracts will track hourly rental costs for Nvidia H100 and B200 graphics processing units based on indexes published by Silicon Data. Each contract represents one month of GPU rental. Silicon Data is backed by trading firm DRW. The Silicon Data H100 Rental Index Futures will track the Nvidia H100 chip, while the Silicon Data B200 Rental Index Futures will track the Nvidia Blackwell B200. Both contracts will be listed on NYMEX. "Compute has become the currency of the AI age, and this innovative market will bring transparency to the current and future costs that AI builders and hyperscalers need to hedge as they grow," said Pete Keavey, Global Head of Energy and Environmental Products at CME Group. Carmen Li, Chief Executive Officer of Silicon Data, stated that the futures will provide "a public, tradable reference price for the resource every AI system runs on." The contracts aim to provide hedging tools for companies managing GPU rental costs, which have experienced price volatility due to demand for AI infrastructure. The futures will allow businesses to lock in compute costs and provide visibility into future AI spending. CME Group operates derivatives exchanges across multiple asset classes including interest rates, equity indexes, foreign exchange, energy, and agricultural products. The company trades through its CME Globex platform and operates CME Clearing as a central counterparty clearing provider. This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.
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CME Group is set to launch the first futures contracts tied to AI computing power on October 5, 2026, pending regulatory approval. Partnering with Silicon Data, the exchange will introduce GPU compute futures contracts tracking Nvidia H100 and B200 rental costs, allowing companies to hedge AI infrastructure expenses like traditional commodities.
CME Group is launching the first futures contracts tied to AI computing power on October 5, 2026, pending regulatory approval
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. The exchange operator is partnering with Silicon Data to introduce two GPU compute futures contracts that will allow companies and investors to trade and hedge the price of AI computing capacity similarly to oil, electricity, and other commodities1
. This development marks a significant shift in how the market treats computational resources, potentially unlocking substantial new investment into AI infrastructure.The contracts will track hourly GPU rental prices for Nvidia H100 and B200 graphics processing units based on indexes published by Silicon Data, a company backed by trading firm DRW
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. Each contract represents one month of GPU rental, with the Silicon Data H100 Rental Index Futures tracking the Nvidia H100 chip and the Silicon Data B200 Rental Index Futures tracking the Nvidia Blackwell B2003
. Both contracts will be listed on NYMEX3
. Carmen Li, CEO of Silicon Data, emphasized that these compute futures markets give the market something it has never had before: a public, tradable reference price for the resource every AI system runs on1
.For years, two companies buying identical GPU capacity could pay wildly different prices with no way to know who secured the better deal
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. The futures contracts will provide a benchmark to check against, bringing unprecedented transparency to AI compute costs1
. Pete Keavey, Global Head of Energy and Environmental Products at CME Group, stated that compute has become the currency of the AI age, and this innovative market will bring transparency to current and future costs that AI builders and hyperscalers need to hedge as they grow3
. The contracts aim to provide hedging tools for companies managing GPU rental costs, which have experienced price volatility due to surging demand for AI infrastructure3
.The launch comes as Wall Street discovers new ways to finance and gain exposure to the enormous AI infrastructure boom
1
. Nvidia is working with some of the world's largest asset managers on an effort that could channel as much as $500 billion into AI infrastructure1
. Compute futures would add another layer to that emerging financial ecosystem, allowing investors to gain exposure to the price of underlying computing capacity itself without directly investing in data centers, chips, or the companies building them1
. AI developers and data-center operators could use the contracts to hedge their costs or revenues1
. At the Milken investor conference in May, BlackRock CEO Larry Fink pitched the concept, saying he believes a new asset class will be buying futures of compute, noting that we simply do not have enough compute power right now2
.Related Stories
CME Group is not alone in pursuing this opportunity. New York-based OneChronos is also developing a compute futures marketplace and is awaiting regulatory approval, with CEO Kelly Littlepage expecting it to become operational this year
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. However, OneChronos is taking a different approach to address a fundamental challenge: AI computing power does not behave like traditional commodities. Littlepage points out that from an Econ 101 perspective, compute fails every measure of being a commodity since it is not fungible, not storable, and not transportable2
. To address this issue, OneChronos is using combinatorial auctions, working with economist Paul Milgrom, who developed a similar system to auction wireless spectrum and won a Nobel Prize for his work2
.Historically, creating a more transparent market for a commodity has unlocked more investments, with many traders and investors in oil and soybeans never owning the underlying asset
2
. Futures markets allow companies to hedge against swings in prices—airlines buy oil futures to manage costs, while farmers might buy soybean futures to hedge against crop performance2
. A compute futures market would bring more transparency, new ways to manage volatility, and even more investment into what is quickly becoming a critical part of the economy2
. The big players in the AI market have been discussing compute as an investable asset class, with Jensen Huang's recent post about the $500 billion financing deal literally titled as such2
. As AI computing power becomes the metaphorical currency of our time, the race is on to make it more like a literal currency2
.Summarized by
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