Observed Signal · Sep 14, 2026 · Funding · Source: CNBC Technology · Impact: 3/5 · Sentiment: Positive
Samsung co-leads $230M round in Nvidia AI chip rival Euclyd
Dutch startup Euclyd, which designs AI inference chips to rival Nvidia's GPUs, has raised a €200 million ($231 million) Series A round. The round was co-led by Samsung, Somerset Capital Partners, the Scaleup Europe Fund (managed by EQT), and Innovation Industries. Euclyd, founded in 2024, is developing a novel chip architecture for AI inference. The funding will support the company's goal to provide enterprise customers with self-hosted AI inference hardware and to license its intellectual property for custom chip development. Euclyd plans to roll out physical chip systems in 2028 and aims to serve thousands of enterprise customers by 2030. The investment comes amid a broader trend of tech giants developing their own AI chips.
High-profile funding round in AI chip market, signaling growth and investment in GPU alternatives, relevant to AI infrastructure underpinning ad tech.
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Key Takeaways & Evidence Grounding
- Euclyd raised €200 million ($231 million) in a Series A funding round.
- Samsung co-led the round along with Somerset Capital Partners, Scaleup Europe Fund, and Innovation Industries.
- Euclyd is designing AI chip systems with a different architecture from GPUs for inference.
- The company targets two revenue streams: selling hardware and licensing intellectual property.
- Euclyd plans to roll out physical chip systems in 2028 and serve thousands of enterprise customers by 2030.
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Dutch AI chip startup EUCLYD raises €200M Series A
Dutch semiconductor startup EUCLYD, based in Eindhoven, has raised over €200 million in a Series A funding round to develop ultra-efficient infrastructure for foundation AI models. The round was co-led by Samsung, Somerset Capital Partners, the EQT-managed Scaleup Europe Fund, and Innovation Industries, with additional participation from EIFO, imec.xpand, Brabant Development Agency (BOM), and Quadri. Peter Wennink, former CEO of ASML, joins as Chairman. Founded in 2024 by Bernardo Kastrup and Atul Sinha, EUCLYD focuses on compute and memory bottlenecks in AI data centers, offering products like 'craftwerk' and 'craftwerk station CWS'. The funding will be used to expand engineering teams, accelerate product development, and target enterprise, government, and hyperscale markets.
European AI chip startups seek nine‑figure funding
European startups building alternatives to Nvidia GPUs for AI inference are pursuing large funding rounds as demand for efficient inference grows. Dutch Euclyd, founded in 2024 and backed by former ASML executives, is in talks for at least a €100 million round, founder Bernardo Kastrup told CNBC. Other European firms — including the U.K.’s Optalysys, Fractile and France’s Arago — are reportedly targeting nine‑figure raises, while investors have put over $200 million into Netherlands’ Axelera and the U.K.’s Olix so far in 2026. Startups claim novel architectures (e.g., photonic processors, multi‑chiplet systems, in‑memory or distributed processing) can deliver substantially higher power efficiency for inference versus current GPU generations. Challenges cited include long chip development cycles, fragmented European foundry and procurement ecosystems, and funding gaps versus U.S. competitors. Nvidia continues heavy investment in R&D and recent acquisitions and investments to support inference and photonics work.
AI chip startups draw record funding amid Nvidia lead
Startups building AI inference chips attracted record investor interest in 2026 as companies seek alternatives to Nvidia’s GPU-dominated stack. Dealroom estimates AI chip startups raised $8.3 billion globally in 2026 so far. Investors argue GPUs were not purpose-built for inference and that new architectures can cut energy and cost at scale. Large rounds cited include Cerebras Systems ($1 billion) and multiple $500 million rounds for MatX, Ayar Labs and Etched; European raises include Axelera and Olix (each north of $200 million). Nvidia continues to invest and consolidate its position — buying Groq assets, backing photonics firms and spending heavily on R&D — while major AI users and foundries report expansion and strong demand for AI compute.
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