Samsung backs Dutch AI chipmaker Euclyd in $231 million funding round
Quick Look
- Samsung has co-led a $231 million Series A funding round for Dutch AI chip startup Euclyd, which is developing an alternative to Nvidia's GPUs for AI inference.
- The round also included Somerset Capital Partners, Scaleup Europe Fund, and Innovation Industries.
- Euclyd aims to reduce energy and costs in AI data centers by selling hardware and IP, with plans to begin physical chip rollout in 2028 and serve thousands of enterprise customers by 2030.
AI-generated summary
Why It Matters
Nvidia's GPUs, originally designed for gaming, became dominant in AI training and inference, giving the company a near monopoly in high-end AI chips. This has prompted hyperscalers like Google, AWS, and Meta, along with startups, to develop their own processors to reduce costs and energy use in AI data centers.
Samsung has backed a Dutch AI chipmaker in a $231 million funding round, amid a boom in investment in alternatives to Nvidia's graphic processing units.
Euclyd CEO Bernardo Kastrup told CNBC exclusively that the company's 200-million-euro Series A drew backing from Somerset Capital Partners, the Scaleup Europe Fund managed by EQT and Innovation Industries, which all co-led the round alongside Samsung.
The startup, founded in 2024, is designing an AI chip system, with different architecture to GPUs, for inference, including the processor and memory architecture.
Nvidia became the world's most valuable company after its GPUs, originally designed for gaming, were repurposed for training and using AI models, known as inference.
The company has developed a near monopoly over the market for the highest-end chips, but some hyperscalers, alongside startups, are looking to develop their own processors for AI workloads.
OpenAI announced in August that its first AI chip, the Jalapeño, had "industry-leading speed and efficiency." Google, AWS and Meta are all also developing their own AI chips.
"AI is becoming a foundation of economic growth, scientific discovery and national competitiveness, but its potential will remain constrained unless we fundamentally change the infrastructure beneath it," said Kastrup.
Euclyd's systems have yet to be proven at scale in commercial deployments.
But the company said its silicon systems for foundational models will reduce the energy needs and costs of AI data center infrastructure, which is seeing a funding boom.
The company is targeting two revenue streams: selling hardware and physical rack systems to enterprise customers who want secure self-hosted AI inference, and selling its intellectual property to companies that want to develop their own chips based on pre-existing tech.
"Samsung can help us in more ways than money," said Kastrup. "They are one of the biggest memory manufacturers in the world. They do a lot of engineering, they know a lot about systems, they know the supply chain, they have a huge network."
Euclyd aims to begin rolling out its physical chip systems in 2028, with thousands of enterprise customers being served by 2030, Kastrup told CNBC.
What to Watch
AI outlook — possibilities, not facts
Euclyd will begin rolling out physical chip systems in 2028 as stated by Bernardo Kastrup
Possible · Within years
Euclyd will serve thousands of enterprise customers by 2030
Possible · Within years
Open Questions
- What specific architectural innovations does Euclyd's chip use compared to GPUs?
- How much of the $231 million came from Samsung versus other investors?
- What are the technical specifications and performance benchmarks of Euclyd's chip?
- Which enterprise customers have committed to purchasing Euclyd's hardware?
