European chip startups are aggressively pursuing large funding rounds to scale their operations in response to the surging demand for artificial intelligence (AI) hardware, as the market for alternatives to Nvidia's GPUs expands rapidly [1]. Dutch company Euclyd, founded in 2024 by former ASML director Bernardo Kastrup and advised by ex-ASML CEO Peter Wennink, is currently in talks with investors to raise at least 100 million euros ($118 million) to further develop and commercialize its AI chip technology [1]. Euclyd has already completed a seed round of under 10 million euros and aims to use the new funds to scale its technology and begin supplying its first customers [1].
Other European startups are also seeking significant capital injections: U.K.-based Optalysys is planning a fundraising round exceeding $100 million later in 2026, while British company Fractile and France's Arago are reportedly targeting nine-figure rounds as well [1]. In the first months of 2026, investors have already committed over $200 million to the Netherlands' Axelera and the U.K.'s Olix, highlighting the strong investor appetite for European AI chip innovation [1].
The drive for homegrown AI chip solutions is fueled by geopolitical factors such as U.S. export controls, concentration risk around chipmaker TSMC, and a European push for sovereign compute capabilities, according to Patrick Schneider-Sikorsky, director at the Nato Innovation Fund (NIF), which has invested in Fractile [1]. Euclyd claims its chips can deliver 100 times higher power efficiency for AI inference compared to Nvidia's latest Vera Rubin chips, though these claims have not yet been validated at commercial scale [1].
While Nvidia remains the world's most valuable company due to its dominance in AI training hardware, European startups are focusing on the AI inference market, which is becoming increasingly important as AI models are deployed at scale [1]. Euclyd's architecture is designed to process data in multiple locations, potentially reducing the energy, cost, and physical footprint of AI data centers, but the company's systems have yet to be proven in large-scale commercial deployments [1].
CONCLUSION
European AI chip startups, led by Euclyd, are seeking substantial funding to challenge Nvidia's dominance in the AI hardware market, with a focus on more efficient inference solutions. Investor interest is strong, driven by both technological innovation and geopolitical considerations, but commercial validation of these new systems remains a key hurdle.