At the age of 12, Ruben Bryon taught himself to code and experimented with his own systems, going so far as to drill a wall in the family garage to cool his servers. Fifteen years later, he no longer speaks of tinkered machines, but of the “Gigafactory” of artificial intelligence.
Founder of Verda, a startup born under the name DataCrunch, he identified in 2018 a future breaking point with the scarcity of GPU computing. By diverting rendering clusters towards model training, it anticipates the explosion of needs linked to AI and is building, from 2020, an infrastructure dedicated to developers and businesses.
Based in Helsinki, the company relies on a structural advantage: abundant, renewable energy and natural cooling conditions.
In 2026, Verda reaches a milestone, the company raises 100 million euros, displays a run rate greater than 50 million euros and claims operational profitability. Positioned as an alternative to hyperscalers such as Amazon Web Services, Microsoft Azure, or even Google Cloud, it promises simplified access to production GPU resources, with “developer-first” logic and complete vertical integration, from the data center to application tools.
A preferred partner of NVIDIA, Verda already operates for clients such as Nokia or ExpressVPN, and claims significant cost savings compared to traditional clouds.
If Ruben Bryon is not yet a dominant player in the cloud, its thesis fits where the economic, industrial and geopolitical tensions of artificial intelligence crystallize. Despite his recent career, his reading of the chessboard and the clarity of his convictions make him a talent to follow.
