Pranav Hotkar
Sheffield, United Kingdom - May 14, 2026 - Liquid cooling specialist Iceotope has raised USD 26 million in new funding to accelerate deployment of its precision liquid cooling technologies for AI data centers and high-density computing environments.
The funding round was led by SDCL Energy Efficiency Income Trust and included participation from existing investors, including BP Ventures, Northern Gritstone, and Pavilion Capital. The company said the capital will support international expansion, product development, and commercialization efforts as demand for AI-ready cooling infrastructure rapidly increases.
Iceotope develops chassis-level precision liquid cooling systems designed to reduce energy consumption, improve thermal efficiency, and support high-density GPU deployments used in artificial intelligence and high-performance computing environments. The company’s architecture focuses on cooling specific heat-generating components directly while avoiding full-tank immersion approaches commonly associated with traditional immersion cooling systems.
The investment comes as AI infrastructure operators increasingly shift toward advanced liquid cooling technologies to manage the rapidly rising thermal demands of modern GPU clusters. Industry analysts estimate that next-generation AI racks could exceed 100kW and eventually approach megawatt-scale densities, significantly beyond the practical limits of conventional air-cooling systems.
“Our technology is enabling a new generation of sustainable digital infrastructure,” said David Craig, CEO of Iceotope. He added that growing adoption of AI workloads is fundamentally reshaping thermal management requirements across data center environments.
The company said its cooling platform can reduce cooling energy usage by up to 95% compared to traditional air-cooled environments while also lowering water consumption and enabling quieter, more compact infrastructure deployments. Such capabilities are becoming increasingly important as hyperscale operators and enterprises attempt to balance AI expansion with sustainability targets and power constraints.
SDCL Energy Efficiency Income Trust said the investment aligns with its strategy of backing technologies that improve energy efficiency within rapidly growing infrastructure sectors. The investor noted that AI infrastructure is emerging as one of the world’s fastest-growing sources of electricity demand, making efficient thermal management increasingly critical.
Iceotope has been expanding partnerships across the broader AI and data center ecosystem in recent years, including collaborations involving servers, edge infrastructure, and hyperscale deployments. The company previously worked with Intel, HPE, and Vertiv on various liquid cooling initiatives targeting enterprise and AI infrastructure environments.
The announcement reflects broader momentum across the liquid cooling market, where infrastructure providers are racing to develop technologies capable of supporting increasingly power-intensive AI systems. Major operators, including Microsoft, Google, Meta, and Equinix, have all accelerated liquid cooling deployments as generative AI infrastructure expands globally.
Industry analysts increasingly view advanced thermal management as one of the defining infrastructure challenges of the AI era. Rising GPU power densities are driving significant redesigns across facility architecture, power distribution, and cooling systems, making liquid cooling technologies a central component of next-generation data center strategies.
Iceotope said the latest investment will help expand manufacturing capacity and accelerate deployment of its precision liquid cooling systems across global AI infrastructure markets
