AI data center reference design technology is advancing through a new collaboration between Trane Technologies and Eaton. The companies announced a strategic collaboration focused on next-generation AI data center infrastructure.
Trane Technologies is a global climate innovator. Eaton is an intelligent power management company. Together, they are integrating thermal management and electrical system architectures.
The companies aim to accelerate AI-factory deployment through a coordinated infrastructure approach. The new design also targets higher efficiency and lower installation costs.
Their first-of-its-kind reference design combines power and cooling systems within one coordinated architecture. It replaces traditional design processes that often remain manual, slow, and separated. The approach supports higher-power-density AI factories through medium-voltage designs. As a result, customers can achieve several infrastructure benefits.
The companies expect the design to improve combined energy efficiency by up to 15%. It can also reduce copper use by up to 80%. Additionally, the approach can lower installation costs by up to 30%. These improvements apply compared with conventional low-voltage designs.
Reference Design Targets AI Data Center Growth
Data center capacity could almost triple by 2030. Artificial intelligence could drive about 70% of that expected growth. Therefore, data center operators need infrastructure that can scale efficiently. The new reference design addresses this requirement through coordinated power and cooling systems.
The design appears in both the Trane® Continuum Rubin DSX and Eaton Beam Rubin DSX platforms. Both platforms align with NVIDIA DSX platforms. Eaton technology provides power distribution for the Trane platform. Meanwhile, the two companies combine their respective expertise through coordinated reference designs.
This approach can help data center customers shorten development cycles. It provides pre-coordinated thermal and electrical power systems from the grid to the chip. The companies also aim to reduce the limitations created by isolated infrastructure systems. Their architecture allows power distribution and cooling systems to exchange leading indicators.
Consequently, the systems can respond more dynamically to changing requirements. This coordination can also support stronger data center performance.
“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, Chief Technology and Sustainability Officer, 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.”
Eaton and Trane Align With NVIDIA DSX
Eaton also highlighted the need for faster deployment across AI infrastructure projects. The companies are moving reference designs toward unified systems that teams can repeatedly deploy.
“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, Electrical Sector, Eaton.
The reference design also works with the NVIDIA® Omniverse™ DSX Blueprint for AI data centers. This alignment supports a more consistent approach to AI infrastructure planning and delivery. The combined architecture covers electrical, thermal, and digital control infrastructure. These systems play a critical role in AI-driven data center environments.
Furthermore, the coordinated design can simplify installation and reduce deployment risks. It can also create a more predictable infrastructure planning process. The architecture is designed to support current data center technologies. At the same time, it can evolve as new technologies enter the market.
Integrated Infrastructure Supports Future AI Factories
The companies designed the architecture to accommodate emerging liquid cooling technologies. It can also support direct current architectures as those technologies become more widely adopted.
This flexibility addresses the rapidly changing infrastructure requirements of AI workloads. High-performance computing continues to increase demand for power and advanced cooling. Therefore, data center operators need infrastructure that can support higher computing densities. They also need systems that can scale without creating unnecessary complexity.
The Trane Technologies and Eaton collaboration focuses on that challenge. Their AI data center reference design connects thermal management and electrical power infrastructure. The design also aligns with NVIDIA’s broader AI infrastructure ecosystem. This alignment can help enterprises establish more coordinated foundations for AI factories.
“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.”
The collaboration reflects the growing importance of integrated data center infrastructure. AI workloads continue to place new demands on electrical systems and thermal management. By combining these areas, Trane Technologies and Eaton aim to improve deployment speed. They also seek to reduce infrastructure costs and improve energy efficiency.
The new AI data center reference design provides a coordinated foundation for next-generation AI factories. It also gives data center customers a repeatable approach to scaling critical infrastructure.
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News Source: Businesswire.com
