European Startups Challenge Nvidia's AI Hardware Dominance with New Funding

A wave of European semiconductor startups is attracting significant investor attention as they aim to build alternatives to Nvidia's dominant graphics processors. The focus has shifted from training massive AI models to the more widespread task of running them, known as inference, and these companies believe their architectures are better suited for the job.

Dutch firm Euclyd, founded by former ASML director Bernardo Kastrup and advised by ex-ASML CEO Peter Wennink, is in talks to raise at least 100 million euros. The company claims its chip design, which processes data in multiple locations rather than shuttling it through memory stacks, could be 100 times more power-efficient for inference than Nvidia's latest offerings. Euclyd plans to deliver its first systems to customers next year.

They are not alone. U.K.-based Optalysys is preparing a $100 million-plus round, while peers like Fractile and Arago are also reportedly seeking nine-figure sums. Investors have already committed over $200 million this year to other contenders, including Axelera and Olix. Olix is developing processors that use light instead of electricity to move data, a approach its backers say is necessary as traditional chips generate excessive heat and push physical limits.

Patrick Schneider-Sikorsky of the NATO Innovation Fund, an investor in Fractile, notes the momentum: "Inference is dominant now, and the existing GPU architecture wasn't built for it in ways that matter most at scale." Geopolitical factors, including U.S. export controls and a desire for European technological sovereignty, are directing capital toward these homegrown efforts.

Despite the optimism, hurdles remain. The path from a working chip to large-scale deployment is long and difficult. Europe's manufacturing ecosystem is less mature than in Asia or the U.S., and public procurement often favors established suppliers. European AI chip firms have raised $800 million this year, far behind the $4.7 billion secured by U.S. peers.

Yet, the conversation is changing. Carlos Espinal of Seedcamp, which invested in chip startup Vaire Computing, observes: "It's no longer a niche bet. It's becoming a core part of how people think about AI infrastructure." As the demand for efficient AI inference grows, these European challengers are betting their novel designs can carve out a space alongside the industry giant.

Source: CNBC