Nvidia rival tells CNBC it's seeking at least 0 million in funding as European AI chip market booms
As the European AI chip market continues to grow, several startups are eyeing substantial funding rounds to scale their operations. Among these companies is Euclyd, a Dutch startup backed by former ASML CEO Peter Wennink, which is currently in discussions to raise at least 100 million euros (approximately $118 million). This funding effort highlights the increasing interest in alternative technologies to Nvidia’s graphics processing units (GPUs).
The Rise of European AI Chip Startups
European chip startups are increasingly looking for large funding rounds to capitalize on the AI boom. Euclyd, founded in 2024 by Bernardo Kastrup, aims to develop AI chips that promise significantly higher power efficiency for AI inference compared to Nvidia’s latest generation chips. The company has already raised a seed round of under 10 million euros and is now seeking additional funds to scale its technology and supply its first customers.
Challenges in the European Funding Ecosystem
While the demand for AI chips is rising, European startups face several challenges in securing funding and scaling their operations:
- Limited Semiconductor Manufacturing: Europe’s semiconductor manufacturing sector is not as robust as that of the U.S. or Asia, making it difficult for startups to find local partners.
- Long Development Timelines: Chip development can take years, and the gap between initial design and mass production is often lengthy.
- Conservative Investment Climate: European governments and investors tend to be more cautious in funding new technologies compared to their U.S. counterparts.
- Fragmented Labor Laws: Different labor laws across European countries complicate recruitment efforts for skilled talent.
Emerging Competitors to Nvidia
As Nvidia has become the world’s most valuable company, largely due to its GPUs being repurposed for AI model training, attention is shifting towards AI inference. Several European startups are emerging with claims that their technologies can perform AI inference more efficiently than Nvidia’s offerings. Patrick Schneider-Sikorsky, director at the NATO Innovation Fund, stated, “Inference is dominant now, and the existing GPU architecture wasn’t built for it in ways that matter most at scale.”
Key Players in the European AI Chip Market
Several companies are positioning themselves as serious competitors to Nvidia:
- Euclyd: Focused on developing AI chips with a different architecture that processes data in multiple locations, thereby increasing efficiency for AI inference.
- Optalysys: A U.K. startup planning to raise over $100 million later this year, specializing in photonics-based processors for AI.
- Fractile: A British company reportedly seeking significant funding, though it has declined to comment on its plans.
- Arago: A French startup also in the fundraising phase, aiming for nine-figure rounds.
Technological Innovations and Future Prospects
Euclyd is working on a multi-chiplet system designed to outperform its current prototype, with plans to produce it by 2028. The company is negotiating with four potential customers, with hopes to begin supplying two of them next year. Meanwhile, Olix is also targeting initial customers in the coming year, focusing on photonic processors that utilize light for data processing.
The Need for Local Support
Despite the growing interest from investors, European startups are still lagging in funding compared to their U.S. counterparts. In 2026, European AI chip startups have raised around $800 million, while U.S. firms have secured $4.7 billion. This disparity highlights the need for improved local support mechanisms, similar to the U.S. Defense Advanced Research Projects Agency (DARPA), which funds innovative tech projects.
Conclusion
As the European AI chip market continues to develop, the competition against established players like Nvidia intensifies. Startups like Euclyd and Optalysys are paving the way for innovation in AI inference technology, but they face significant challenges in funding and scaling. The future of these companies will depend not only on their technological advancements but also on the support they receive from investors and governments.
Note: The information presented in this article is based on data available up to October 2023 and may be subject to change.
