Verda Secures $117M Led by Lifeline Ventures to Expand Profitable, Renewable-Powered GPU Cloud

Verda secured $117 million, led by Lifeline Ventures, to scale its GPU cloud infrastructure. The company distinguishes itself through 100% renewable energy operations and strategic partnerships, driving profitable growth.

AI cloud infrastructure company Verda, formerly DataCrunch, has secured $117 million in a funding round. This capital infusion supports the expansion of its profitable Graphics Processing Unit (GPU) cloud services.

The Helsinki-based firm provides computing power crucial for artificial intelligence development and operations. It vertically integrates its entire stack, managing everything from data centers to developer tools directly.

Lifeline Ventures led the $117 million funding round. Additional support came from byFounders, Tesi, and Varma, with debt financing from Nordic financial institutions.

Verda's data centers utilize 100% renewable energy and natural cooling methods. This operational approach lowers energy consumption and reduces overall operating costs for the company.

The company holds an NVIDIA Preferred Partner status. This designation grants Verda priority access to GPUs, a critical component currently in high demand across the AI industry.

This funding positions Verda to accelerate its global reach. Plans include launching operations in the UK and US this year, with further expansion into Asia.

The company intends to hire over 100 new employees to support this growth. Verda currently serves clients such as Nokia, 1X, ExpressVPN, and Freepik.

Verda competes with providers like CoreWeave and Lambda Labs. Its strategy emphasizes profitability, clean energy, and European data sovereignty in the AI infrastructure market.

The company aims to bridge the gap between large, slow cloud providers and basic GPU rentals with limited support. Its AI Lab team works directly with customers, integrating feedback into product development.

Watch for Verda's market entry in new regions and its continued emphasis on sustainable, integrated AI infrastructure solutions.