Helix Energy raises $200M to build liquid-cooled GPU data centers for AI workloads

Tech · 5 min read

Helix Energy announced a $200 million funding round to deploy a new generation of liquid-cooled data centers aimed at big-model training and inference. The company claims liquid cooling improves power efficiency and enables denser GPU packing, reducing total cost of training for hyperscale and enterprise customers.

Their design integrates local heat reuse for district heating in colder climates and a modular pod architecture that can be scaled quickly. Helix is targeting partnerships with cloud resellers and AI startups that need predictable, high-density GPU capacity without building their own facilities.

The funding will be used for site acquisition, specialized cooling infrastructure, and talent acquisition for operations and safety compliance. Helix plans initial deployments in northern Europe and the U.S. Pacific Northwest, citing available renewable electricity and cooler ambient temperatures.