Exclusive: New Research Finds Stark Global Divide in Ownership of Powerful AI Chips

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Exclusive: New Research Finds Stark Global Divide in Ownership of Powerful AI Chips
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A new peer-reviewed paper, shared exclusively with TIME, set out to map AI across the globe. The findings were stark.

Attendees view processors on display at the World Artificial Intelligence Conference in Shanghai, China, on July 6, 2023.hen we think of the “cloud,” we often imagine data floating invisibly in the ether. But the reality is far more tangible: the cloud is located in huge buildings called data centers, filled with powerful, energy-hungry computer chips.

The finding has significant implications not only for the next generation of geopolitical competition, but for AI governance—or, which governments have the power to regulate how AI is built and deployed. “If the actual infrastructure that runs the AI, or on which the AI is trained, is on your territory, then you can enforce compliance,” Lehdonvirta says.

The paper finds that the U.S. and China have by far the most public GPU clusters in the world. China leads the U.S. on the number of GPU-enabled regions overall, however the most advanced GPUs are highly concentrated in the United States. The U.S. has eight “regions” where H100 GPUs—the kind that are the subject of U.S. government sanctions on China—are available to hire. China has none.

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