Trane Technologies and Eaton unveil reference design cutting AI data center costs by 30%

Trane Technologies and Eaton Break New Ground in AI Data Center Infrastructure

Trane Technologies and Eaton announced a strategic collaboration that replaces traditional siloed design processes with an integrated system for power and cooling in next-generation AI data centers1

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. This industry-first reference design addresses the mounting infrastructure challenges as global data center capacity approaches a near tripling by 2030, with AI driving approximately 70% of that growth2

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The collaboration delivers the Trane Continuum Rubin DSX and Eaton Beam Rubin DSX platforms, both built in alignment with NVIDIA DSX platforms1

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. By advancing medium-voltage designs for higher-power density AI factories, the companies achieve combined energy efficiency gains of up to 15%, slash copper use by as much as 80%, and reduce installation costs by up to 30% compared to conventional low-voltage designs2

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Unified Systems Replace Fragmented Approaches

The AI data center reference design fundamentally changes how power and cooling systems interact. Instead of operating as separate entities, the integrated architecture enables power distribution and thermal management systems to exchange leading indicators and respond dynamically to operational needs1

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. This coordinated approach delivers pre-coordinated thermal and electrical power systems from grid to chip, helping customers accelerate development cycles while enhancing overall data center performance2

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Mauro J. Atalla, Senior Vice President, Chief Technology and Sustainability Officer at Trane Technologies, emphasized the transformation: "AI and high-performance computing are transforming the demands placed on data centers, and customers want solutions that can keep pace with their needs. 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"1

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NVIDIA Alignment Strengthens Scalable AI Infrastructure

The reference design works seamlessly with the NVIDIA Omniverse DSX Blueprint for AI data centers, establishing a consistent method for planning and delivering electrical, thermal, and digital control infrastructure required for AI-driven environments2

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. Vladimir Troy, Vice President of AI Infrastructure at NVIDIA, noted that "AI factories demand tightly coordinated power, cooling and compute infrastructure to operate efficiently at scale"1

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Michael Regelski, Senior Vice President and Chief Technology Officer, Electrical Sector at Eaton, explained the deployment advantage: "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"2

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Future-Ready Design Anticipates Emerging Technologies

The coordinated architecture simplifies setup, reduces risk during AI-factory deployment, and improves overall performance for current high-performance data centers1

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. Critically, the design evolves as emerging liquid cooling technologies and direct current architectures become mainstream, ensuring long-term viability for enterprises building scalable AI infrastructure2

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. This approach supports the robust foundations enterprises need to unlock the full potential of generative and reasoning AI, turning data into faster, smarter outcomes while managing the resource intensity of high-performance computing workloads1

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