April 6, 2025
France Taps Nuclear Power in Race for AI Supremacy #FrenchFinance

France Taps Nuclear Power in Race for AI Supremacy #FrenchFinance

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President Emmanuel Macron has sought to expand France’s AI computing power.
President Emmanuel Macron has sought to expand France’s AI computing power. – Sergei Gapon/Agence France-Presse/Getty Images

France is making a bid to catch up in the artificial intelligence race by leaning on one of its strengths: plentiful nuclear power.

The French government plans Monday to pledge a gigawatt of nuclear power for a new artificial-intelligence computing project expected to cost tens of billions of dollars, according to its private-sector backers and the French government.

Combined with other newly announced French AI-computing projects funded by Brookfield Asset Management and Middle Eastern investors that also aim for gigawatt scale, the plans would greatly expand Europe’s AI-computing capabilities to rival a vast expansion in the U.S. The projects are part of a $113 billion wave of investments that French President Emmanuel Macron is announcing at an AI summit that opens Monday in Paris.

The nuclear project, which aims to have a first tranche of 250 megawatts of power hooked up to AI-computing chips by the end of 2026, rivals the Stargate project in the U.S., backed by SoftBank and OpenAI. Stargate is starting with a campus in Texas initially fed by 200 megawatts of power, with plans to expand to 1.2 gigawatts.

FluidStack, the company spearheading the nuclear-powered AI cluster in France, said it aims to begin construction in the third quarter. Still, there is no guarantee its project will move forward as envisioned, or if it will secure enough money—or AI chips—to build it.

AI computing requires vast amounts of power as big tech companies shell out billions of dollars to build massive clusters of electricity-hungry chips. Those chips, mostly made by Nvidia, are the workhorses of the AI boom, performing the computations that underlie AI models.

Some of today’s most advanced AI models were trained at data centers with about 30 megawatts of electricity, the research group Epoch AI estimates. But by 2030, leading AI models may need more than 5 gigawatts of electricity—a Manhattan-sized amount.

Nvidia’s Jensen Huang gave a presentation in Las Vegas last month.
Nvidia’s Jensen Huang gave a presentation in Las Vegas last month. – Bridget Bennett/Bloomberg News

The emergence of DeepSeek, a Chinese-made AI model purportedly built with far fewer chips than its competitors, raised doubt recently about the need for clusters of chips that have ballooned into the hundreds of thousands. But Nvidia said rapid AI advances would require ever more of its chips, and big tech companies are pushing forward with unprecedented spending on them.

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