New joint approach advances higher power designs for AI data centers to speed development
Trane Technologies, a global climate innovator, and intelligent power management company Eaton have announced, via a press statement, a strategic collaboration integrating advanced thermal management and electrical system architectures to help accelerate AI-factory deployment, enhance efficiency and lower costs.
Trane Technologies and Eaton are introducing a first-of-its kind reference design that replaces a traditionally slow, manual and siloed design process with a unified, intelligent system for power and cooling for next-generation data centers.
By advancing medium-voltage designs for higher-power density AI factories, the companies can achieve combined energy efficiency gains of up to 15%, cut copper use by as much as 80% and reduce installation costs by up to 30% compared to conventional, low-voltage designs, while enabling faster deployment and reducing complexity.
Capacity
As global data center capacity may almost triple by 2030, with AI driving about 70% of that growth, the reference design provides a more resource-efficient approach to scaling data center infrastructure.
“By combining our advanced thermal management solutions with Eaton’s innovative power management solutions, we’re delivering a coordinated design that helps customers accelerate deployment, improve efficiency and confidently plan to scale for the future,” asserted Mauro J. Atalla, Senior Vice President, Chief Technology and Sustainability Officer, Trane Technologies.
Accelerate AI-factory deployment
“Aligned with the NVIDIA DSX platform, we’re integrating our medium-voltage power systems and white space thermal management solutions with Trane’s advanced thermal management system architecture to help accelerate AI-factory deployment at scale,” affirmed Michael Regelski, Senior Vice President and Chief Technology Officer, Electrical Sector, Eaton.
“By aligning with the NVIDIA Omniverse DSX Blueprint, Trane Technologies and Eaton are helping customers reduce complexity and accelerate deployment of next‑generation AI data centers,” concluded Vladimir Troy, Vice President-AI Infrastructure, NVIDIA.
