Just like gold and oil, we'll soon be able to trade AI token futures | TechCrunch

Shanghai Futures Exchange is designing a derivatives market for AI tokens. CME Group and Intercontinental Exchange are working on futures contracts for renting GPUs. GPU rental pricing is already active, with hourly spot rates varying by model and marketplace. Median Nvidia H100 prices range from $1.40 to $4.27 per hour, while H200 prices range from $2.34 to $5 per hour. Token markets are less developed, even though enterprise AI usage is commonly priced in tokens, such as OpenAI’s per-million input and output token fees and Amazon Bedrock’s per-token charging. The push is occurring alongside large-scale investment in AI infrastructure, including data centers and specialized inference-focused providers.

"China's Shanghai Futures Exchange is currently designing a derivatives market for AI tokens, Reuters reports. The news comes as major derivatives exchange CME Group, and the Intercontinental Exchange (the owner of the NYSE) have separately said they're working on launching futures contracts for renting GPUs."

"GPU markets are still maturing, but given the wide range of companies using, selling and renting GPUs, there's a robust market for spot prices on GPU rental, typically charged by the hour. According to data from AI Mining Co., which tracks daily GPU rental pricing across 28 marketplaces and cloud providers, median prices for Nvidia H100 GPUs ranged from $1.40 to $4.27 per hour across 13 marketplaces, while the average price for H200 GPUs were between $2.34 and $5 per hour across 10 marketplaces."

"But while mature markets exist for GPUs, there's less infrastructure around tokens themselves - the fundamental building blocks of contemporary AI models. Enterprise plans for major AI companies are commonly denominated in tokens: OpenAI, for example, charges $5 per million input tokens, and $30 per million output tokens if you want to use the API for its latest GPT-5.5 model. Even cloud providers are increasingly offering the opportunity to charge per-token, as in Amazon's Bedrock system."

"The effort comes amid an unprecedented buildout of AI infrastructure. Cloud service providers, private equity firms and infrastructure players alike have poured hundreds of billions into building data centers, anticipating that demand for GPUs and compute will continue to rise. An emerging crop of global neocloud companies is also vying for a piece of this demand. Some of these new entrants are specializing, focusing on inference, while others are competing with cloud gi"

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