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Nvidia rivals eye huge funding rounds as AI chip market booms


European chip startups developing alternative technology to Nvidia’s graphics processing units (GPUs) are eyeing big funding rounds as they look to scale amid the AI boom.

Dutch company Euclyd, backed by the former CEO of chipmaking equipment giant ASML, is currently in discussions with investors for a round of at least 100 million euros ($118 million), its founder Bernardo Kastrup, told CNBC in an exclusive interview.

Elsewhere, U.K. startup Optalysys is planning a $100 million plus fundraise later this year and British company Fractile and France’s Arago are reportedly fundraising for nine-figure rounds. Fractile declined to comment and Arago did not respond to a request for comment. So far in 2026, investors have already funnelled more than $200 million into the Netherlands’ Axelera and the U.K.’s Olix.

Nvidia has rapidly become the world’s most valuable company as its GPUs, originally designed for gaming, have been repurposed for training AI models, but eyes are now turning to the most efficient ways to use those models, known as AI inference.

While the U.S. chip giant is developing semiconductor systems for that purpose too, a crop of new European startups are emerging that claim the tech they’re building can do it more efficiently.

“Inference is dominant now, and the existing GPU architecture wasn’t built for it in ways that matter most at scale,” Patrick Schneider-Sikorsky, director at the Nato Innovation Fund (NIF), which has invested in Fractile, told CNBC.

“The geopolitical tailwinds are obvious with U.S. export controls, concentration risk around [chipmaker] TSMC and a genuine European sovereign compute imperative are all pushing capital toward homegrown silicon.”

ASML alumni

Euclyd is developing AI chips that operate in a system which it says can deliver 100x higher power efficiency for inference compared to Nvidia’s latest generation Vera Rubin chips. Nvidia did not respond to a request for comment from CNBC.

The Dutch startup, founded in 2024 by former ASML director Kastrup and counting ex-ASML CEO Peter Wennink as advisor and investor, has already raised a seed round of under 10 million euros and is now looking for fresh funds to scale its tech and begin supplying its first customers.

Euclyd is building chip systems to replace GPUs, but with a different architecture, Kastrup said. While GPUs spend time and energy moving data through the memory stack, Euclyd’s chips will process data in multiple places, which Kastrup says will increase efficiency for AI inference.

The company’s silicon systems for foundational models will reduce the energy, cost and footprint of AI data center infrastructure, he added. But, unlike Nvidia’s chips, Euclyd’s systems have not yet been proven in deployment at scale with commercial partners.

Euclyd’s prototype system. Credit: Euclyd.

Euclyd is working on that. It has already developed a chip for AI inference, and is currently developing a multi-chiplet system — which will process faster than the current…



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Nvidia rivals eye huge funding rounds as AI chip market booms

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