China, on the other hand, has a different bragging right. It runs more AI data center clusters than anyone else, with 230 in total. But the raw computing output is much lower at just 400,000 H100 equivalents. It is a reminder that more buildings do not always mean more muscle.
France is an interesting case. It ranks fifth in total computing power but has the second largest stockpile of AI chips, more than 989,000. That is more than China, India, and South Korea. Clearly, owning a lot of chips is only part of the story.
TRG data chart The United Arab Emirates holds the number two spot overall with 23.1 million H100 equivalents and 6,400 megawatts of capacity. Saudi Arabia follows in third with 7.2 million. South Korea is fourth at 5.1 million but leads everyone in workforce adoption, with half of the nation’s workers using AI in some way.
Interestingly, this seems to indicate the UAE’s clusters are enormous. They pack over 13 times more compute per cluster than the U.S. and an eye-popping 637 times more than China. Essentially, they’ve skipped the “many small sites” approach and gone straight for ultra-dense, mega-scale AI hubs.
This is all happening against a backdrop of record AI infrastructure spending. Global investment hit $200 billion this year, and each country seems to be taking its own path. Some are building the biggest clusters they can. Others are focused on specialized chips. A few are banking on government policy to attract research and development from around the world.