The CME Group announced on Tuesday that it will collaborate with GPU market intelligence firm Silicon Data to launch a pioneering computing power futures market later this year, pending regulatory review.
AI computing power is being hailed as the "new oil of the 21st century." As the core resource driving the artificial intelligence boom, computing power is in soaring demand as AI companies heavily rely on it for model training and system deployment. However, the market has long lacked tools to hedge against price volatility in computing power. CME Group CEO Terry Duffy stated in a release: "As a pillar of the digital economy, computing power is the new oil of the 21st century. Every trained AI model, every cleared transaction, and every byte of data processed depends on computing power, which is rapidly emerging as a new asset class."
The new futures contracts will be based on an index compiled by Silicon Data, which is the world's first daily benchmark for on-demand GPU rental rates. Silicon Data, founded by former DRW trader Carmen Lee, specializes in providing pricing benchmarks for the GPU market. Its CEO remarked: "The computing power market is currently highly fragmented, with significant pricing disparities. Our collaboration with CME aims to transform computing power into a more mature and risk-manageable financial market."
A trillion-dollar market demand is fostering the emergence of this new asset class. BlackRock CEO Larry Fink noted last week that, given the shortage of computing power and robust demand, computing power futures are likely to give rise to a new asset class. DRW founder Don Wilson pointed out: "I have long recognized that computing power will become the world's largest commodity. Data center spending is growing exponentially, but the lack of hedging tools has hindered this growth. The introduction of computing power futures is a key solution." It is reported that the four major technology companies are projected to have capital expenditures of approximately $700 billion by 2026, with a significant portion directed toward AI infrastructure.
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