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Mistral AI, France’s most prominent artificial intelligence startup, is exploring designing its own custom chips to reduce deployment costs and gain greater control over its computing infrastructure, CEO Arthur Mensch revealed in an exclusive interview with CNBC. The disclosure marks the first time the company has publicly acknowledged semiconductor ambitions, placing it alongside OpenAI and Google in the growing cohort of AI firms seeking alternatives to off-the-shelf Nvidia hardware.instagram
The custom chip exploration comes as Mistral accelerates a broader push to own more of its compute stack. While the effort remains in its early stages — with no detailed technical roadmap or foundry partnerships disclosed — the move reflects Mistral’s desire to optimize for inference costs and reduce reliance on third-party hardware suppliers as it scales its enterprise offerings.letsdatascience
The announcement arrives alongside Mistral’s aggressive infrastructure buildout across Europe. In March, the company secured $830 million in debt financing from a consortium of seven banks — including BNP Paribas, HSBC, Crédit Agricole, and MUFG — to fund its first dedicated data center near Paris in Bruyères-le-Châtel. The facility will house 13,800 Nvidia GB300 GPUs with 44 megawatts of compute capacity, and operations were expected to commence in the second quarter of 2026.wsj
Mistral has committed a total of four billion euros to data center projects across the continent, targeting 200 megawatts of AI compute capacity by the end of 2027. In February, the company announced a €1.2 billion investment in new data centers in Borlänge, Sweden, built in partnership with EcoDataCenter and expected to come online in 2027.cnbc
The infrastructure push has accompanied rapid commercial growth. Mistral reached an annual revenue run rate surpassing $400 million in January 2026, up from $20 million a year earlier, and is projected to reach $1 billion by year-end, according to CNBC’s Disruptor 50 ranking. The company’s valuation stands at roughly $13.8 billion following a nearly $2 billion Series C funding round.cnbc
Mistral’s chip ambitions and infrastructure investments underscore the intensifying hardware race among leading AI companies. OpenAI has pursued its own in-house chip with plans for mass production at TSMC using 3-nanometer fabrication technology. For Mistral, the challenge will be balancing multi-year chip development timelines against the immediate need to serve a growing enterprise customer base competing for workloads against American rivals.reuters