Airsys Introduces PowerOne Cooling Platform for AI Data Centers
Airsys Cooling Technologies Inc. has launched PowerOne, an intelligent and scalable cooling platform for modern data centers, announced in a press release. The system is designed to address the increasing power density and energy efficiency challenges driven by AI, high-performance computing, and big data workloads.
PowerOne features a modular, multi-medium architecture capable of scaling from 1MW edge deployments to more than 100MW hyperscale facilities. It includes two primary configurations: the Standard Cooling Stack, which integrates components such as CritiCool-X chillers, FluidCool-X CDUs, MaxAir fan walls, and Optima2 CRAH units; and the LiquidRack solution, a closed-loop liquid cooling system optimized for AI-era deployments.
The platform achieves zero Water Usage Effectiveness (WUE) and industry-leading Power Usage Effectiveness (PUE), while introducing Power Compute Effectiveness (PCE) as a new metric to measure how efficiently power is converted into computing performance. This combination aims to maximize compute density and reduce operational overhead.
Airsys also introduced Aegis, a new liquid cooling division focused on developing two-phase cooling components such as cold plates and control systems that expand the PowerOne ecosystem. PowerOne products are available for pre-order now, with initial availability expected in the fourth quarter of 2025.
We hope you enjoyed this article.
Consider subscribing to one of our newsletters like Silicon Brief or Daily AI Brief.
Also, consider following us on social media:
More from: Data Centers
Subscribe to Silicon Brief
Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.
Industry analysis
2025 Global Business Services Agenda: Gen AI Takes Center Stage
This industry analysis by The Hackett Group explores the transformative impact of generative artificial intelligence (Gen AI) on global business services (GBS) in 2025. The study highlights the shift from exploration to acceleration of Gen AI initiatives, with 89% of executives advancing these projects to improve customer satisfaction, innovate products, and reduce costs. The report also discusses the challenges and strategies for successful Gen AI adoption, emphasizing the need for a technology-enabled operating model and the importance of reskilling the workforce.
Read more