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Samsung and EU Scaleup Fund inject €200m into Euclyd to advance high-efficiency AI infrastructure

Executive summary: Euclyd raised over €200 million in a Series A funding round co-led by Samsung and the EU Scaleup Fund. The funding targets the development of ultra-efficient infrastructure to overcome current efficiency barriers in large-scale AI foundation models.

Who is involved: Euclyd, Samsung, and the EU Scaleup Fund.

Likely next: Expansion of R&D capabilities and deployment of efficient infrastructure for major AI model providers.

Samsung and the EU Scaleup Fund have jointly committed €200 million to Euclyd’s Series A round, aiming to boost the Dutch startup’s work on high‑efficiency AI infrastructure. The financing underscores a growing appetite among major technology players and public‑backed funds for solutions that reduce the energy consumption of foundation‑model training and inference. By pairing Samsung’s expertise in semiconductor design with the EU Scaleup Fund’s mandate to nurture high‑potential European ventures, the deal signals a coordinated effort to align AI advancement with sustainability goals. The investment comes amid a broader pattern of Samsung’s recent AI‑focused moves, including its leadership in Mistral AI’s €3 billion Series D round and the EU Scaleup Fund’s $100 million backing of Tandem Health. These parallel activities suggest that Samsung is seeking to secure a foothold across the AI stack—from chips to software—while the fund is reinforcing its strategy of scaling EU‑based innovators. For Euclyd, the capital will likely be directed toward expanding its engineering team, accelerating prototype development, and pursuing pilot deployments with cloud and enterprise customers eager to lower operating costs and carbon footprints. In the near term, the market can expect Euclyd to unveil more detailed performance benchmarks for its efficient AI accelerators and to seek additional partnerships that could facilitate integration into existing data‑center infrastructures. Should the startup deliver on its efficiency promises, it could become a notable contributor to the EU’s ambition of fostering greener AI technologies, while also providing Samsung with a complementary hardware avenue that diversifies its AI portfolio beyond its current investments in model developers.

What's next — scenarios

Base: Scaling efficient infrastructure (60%)

Euclyd successfully integrates its technology into major cloud or AI provider workflows.

Upside: Industry standard for efficient AI (25%)

Euclyd's architecture becomes a core component of energy-conscious AI data centers.

Downside: High competition in AI hardware (15%)

Established chip giants develop competing software-hardware integrated efficiency layers.

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