Iceotope Group, a UK-based developer of precision liquid cooling systems for AI and edge infrastructure, raised $26 million in a Series B funding round aimed at accelerating deployment of its liquid-cooled platform for next-generation AI data centers. The round was led by Two Seas Capital and Barclays Climate Ventures, with participation from existing investors Edinv, ABC Impact, Northern Gritstone, and the British Business Bank. Iceotope said the funding will support product engineering, patent expansion, and ecosystem partnerships designed to bring liquid-cooled AI infrastructure solutions to market more quickly.
The company positions its chassis-level precision liquid cooling technology as an alternative to traditional air cooling and direct-to-chip liquid cooling approaches that increasingly face limitations as AI rack densities climb. Iceotope argues that next-generation GPU clusters are rapidly approaching 1MW rack-scale power densities, creating thermal and power delivery challenges that conventional cooling architectures cannot efficiently sustain. Its liquid cooling architecture targets full-system thermal management, including CPUs, GPUs, memory, networking, and power components, while reducing water consumption and fan energy requirements.
Iceotope said the market transition toward liquid cooling is accelerating as hyperscalers, colocation providers, and enterprises expand AI deployments. The company cited projections from SemiAnalysis estimating that the installed base of liquid-cooled AI accelerators could grow from approximately 3GW to 40GW within two years. Iceotope also sees opportunity beyond centralized hyperscale data centers, including edge AI deployments where noise, space, and environmental constraints complicate conventional cooling strategies. Founded in 2005, Iceotope said it has built a portfolio of 219 granted and pending patents focused on liquid-cooled compute infrastructure.
- Series B funding round totaled $26 million
- Funding led by Two Seas Capital and Barclays Climate Ventures
- Existing investors included Edinv, ABC Impact, Northern Gritstone, and British Business Bank
- Iceotope plans to expand engineering, product development, and ecosystem partnerships
- Company focuses on chassis-based precision liquid cooling
- Technology targets AI, HPC, enterprise AI, and edge infrastructure deployments
- Iceotope says its architecture cools all infrastructure components, not only processors
- Company claims reduced water use and lower cooling-related power consumption
- Iceotope holds 219 granted and pending patents
- Market focus includes hyperscale AI factories, colocation providers, and edge AI infrastructure
“Securing such high-caliber investors validates both our technology and our market timing,” said Simon Jesenko, CEO and CFO of Iceotope. “We’ve spent years developing a robust, differentiated IP portfolio and products purpose-built for AI infrastructure, and we’re ready to scale at precisely the moment the industry demands more advanced, sustainable cooling technology.”
🌐 Analysis: Liquid cooling is rapidly moving from a specialized HPC technology into mainstream AI infrastructure design as GPU power consumption continues climbing across hyperscale and enterprise deployments. NVIDIA’s latest AI platforms, along with roadmap discussions across the industry, increasingly assume liquid-assisted or fully liquid-cooled environments for high-density AI clusters, creating new opportunities for infrastructure vendors focused on thermal management, CDU systems, immersion cooling, and advanced rack architectures.
🌐 Iceotope operates in an increasingly competitive liquid-cooling landscape that includes direct-to-chip specialists, immersion cooling startups, and large infrastructure vendors integrating liquid cooling into mainstream server platforms. The company’s emphasis on full-chassis precision cooling differentiates it from direct-to-chip approaches, particularly for edge deployments and enterprise AI environments where facility retrofits, acoustics, and operational simplicity remain important considerations.
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