France's Mistral raises $830 million in debt for AI data centre build-up

4 days ago 3

Supantha Mukherjee and Leo Marchandon

Mon, March 30, 2026 astatine 1:03 AM CDT 1 min read

By Supantha Mukherjee and Leo Marchandon

STOCKHOLM, March 30 - Europe's starring AI supplier Mistral has raised $830 cardinal successful caller ‌debt to bargain 13,800 Nvidia (NVDA) chips for a large ‌data centre adjacent Paris, the steadfast told Reuters, arsenic Europe races to standard AI infrastructure to vie with the U.S. and China.

The deal, acceptable to beryllium announced connected Monday, marks Mistral's archetypal indebtedness raising and underscores increasing capitalist assurance successful European AI firms arsenic they question to ‌challenge the dominance of ⁠U.S. tech giants similar Microsoft, (MSFT) Google (GOOG) and Amazon (AMZN) successful unreality computing and AI services.

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Mistral's indebtedness raising was ⁠financed by a consortium of 7 banks, including BNP Paribas, Crédit Agricole CIB, HSBC and MUFG, it said. The information halfway successful Bruyeres-le-Chatel is expected to go operational successful the second 4th of 2026.

Mistral selected ‌the tract for its archetypal information halfway successful February 2025. Last month, the institution unveiled plans for a 2nd installation successful Sweden and said it would question to unafraid 200 megawatts of capableness crossed Europe by the extremity of 2027.

"Scaling our infrastructure successful ‌Europe is captious to empower our customers and to guarantee AI innovation and autonomy stay astatine the heart of Europe," Chief Executive Arthur Mensch said successful ‌a connection shared with Reuters.

The Paris-based startup, which provides AI models to the French equipped forces, has positioned itself arsenic a European alternate to U.S. AI leaders, offering some models and ‌infrastructure services to governments and enterprises seeking greater technological independence.

(Reporting by Supantha Mukerjee successful Stockholm and Leo Marchandon in Gdansk; Editing by Thomas Derpinghaus)

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