A London-based startup founded by a former DeepMind researcher banked €46.3M ($50M) to develop infrastructure for high-performance computing. The investment supports the creation of cooling systems designed specifically to handle the thermal demands of next-generation GPUs.
The company develops non-toxic cooling solutions using AI-driven design to manage the intense heat generated by large-scale AI hardware. As data centres face increased pressure to reduce energy consumption and environmental impact, the startup’s hardware targets the bottleneck created by traditional cooling methods in dense server environments.
The founding team includes expertise from DeepMind, bringing experience in applying machine learning to complex physical systems. This background is being applied to the physical constraints of data centre architecture, where thermal management is becoming a primary limit on AI model training and deployment speeds.
This raise reflects a growing trend in European deeptech, where the focus is shifting from pure software to the underlying physical infrastructure required to sustain the current surge in compute demand.
Originally reported by Tech Funding News.