Verda raises €100m to build European hyperscaler, plans to hire 100+ people and launch in new markets

2026-04-24 · Source: Sifted · Field: Technology & Digital — Cloud Computing & IT Infrastructure, Artificial Intelligence & Machine Learning · Depth: Fundamental Awareness, quick

Summary

Helsinki-based Verda, formerly Datacrunch, has secured €100 million in a debt and equity funding round, led by Lifeline Ventures with participation from byFounders, Tesi, Varma, and Nordic financial institutions. This capital injection brings Verda's total funding to approximately €170 million and will accelerate the development of its AI cloud infrastructure across Europe, the US, and Asia. The company, which operates data centers in Finland and Iceland and has a London office, plans to expand with new offices in California and Asia, and is constructing larger data center sites in Finland and Sweden. Verda emphasizes its vertical integration, managing infrastructure from hardware to the application layer, to provide frictionless compute for AI training and inference, and aims to hire an additional 100 people, focusing on engineering and AI research.

Key takeaway

For CTOs and VPs of Engineering evaluating cloud infrastructure providers for AI workloads, Verda's €100 million funding and vertically integrated, European-neutral approach signal a robust alternative to US hyperscalers. You should assess Verda's offerings for AI training and inference, particularly if data sovereignty or a desire for frictionless compute provisioning aligns with your strategic objectives, as their rapid expansion suggests a scalable and developer-centric platform.

Key insights

Verda's vertical integration and European neutrality drive its rapid expansion in AI cloud infrastructure.

Principles

• Vertical integration reduces friction in compute provisioning.
• European neutrality can be a global market differentiator.

Method

Verda builds AI cloud infrastructure by vertically integrating from physical hardware to the application layer, facilitating frictionless compute access for AI training and inference.

In practice

• Prioritize frictionless compute access for AI workloads.
• Consider regional neutrality as a competitive advantage.

Topics

• Verda
• AI Cloud Infrastructure
• European Tech Sovereignty
• Hyperscaler Development
• Vertical Integration

Best for: CTO, VP of Engineering/Data, Director of AI/ML, Investor, Entrepreneur

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Editorial summary, takeaway, and curation by AIssential. Original article published by Sifted.