Cooling vendor Trane and power technology firm Eaton have joined forces to develop an integrated architecture for thermal management and electrical systems in AI data centers.

The duo claim the reference design is the first of its kind, and that using it to design systems for AI data centers can lead to energy efficiency gains of 15 percent and cut copper use by up to 80 percent.

Installation is also cheaper than conventional low-voltage design processes, the companies added.

The new reference design is included in both the Trane Continuum Rubin DSX and Eaton Beam Rubin DSX platforms, which are designed to be compatible with Nvidia’s DSX platforms for building AI data centers.

“AI and high-performance computing are transforming the demands placed on data centers, and customers want solutions that can keep pace with their needs,” said Mauro J. Atalla, senior vice president and chief technology and sustainability officer at Trane Technologies. “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.”

The combined approach establishes a more consistent, predictable method for planning and delivering electrical, thermal and digital control infrastructure required for AI‑driven environments. This apparently simplifies setup, reduces risk during deployment, and improves overall performance for today’s technologies.

“We’re advancing the industry standard for speed of deployment by progressing reference designs into unified systems teams can deploy repeatedly. 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,” said Michael Regelski, senior vice president and chief technology officer for the electrical sector at Eaton.

Both companies have pledged to evolve the system as emerging liquid cooling technologies and direct current architectures become mainstream.

“AI factories demand tightly coordinated power, cooling and compute infrastructure to operate efficiently at scale. 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,” said Vladimir Troy, vice president of AI infrastructure at Nvidia. “This new integrated approach supports the robust, scalable foundations enterprises need to unlock the full potential of generative and reasoning AI and turn data into faster, smarter outcomes.”