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Trane Technologies improves AI cooling design, adds two new systems

The optimized architecture frees 22 MW of cooling capacity for IT power, while new 250-MW and 1-GW designs target large-scale AI deployments.

Trane Technologies improves AI cooling design, adds two new systems

Trane Technologies said it has improved its thermal management reference design for gigawatt-scale AI factories and introduced two new Trane Continuum Rubin DSX reference designs. The company said the updated system, engineered to integrate with the NVIDIA Omniverse DSX Blueprint for AI data centers, improves overall thermal management performance by nearly 10% versus the original 1-gigawatt (approx. 3.41 billion BTU/h) reference design announced in October.

According to Trane Technologies, the optimization frees up 22 megawatts (approx. 75.1 million BTU/h) of cooling capacity that can be redirected to IT power without increasing total energy consumption. The company said the design is intended to help increase compute output for gigawatt-scale AI infrastructure.

The company also added two high-efficiency reference designs for large-scale AI deployments. The 250-megawatt (approx. 853 million BTU/h) Duplex Simplified System Design, available now, is designed to support extended free cooling use and includes integrated heat recovery. Trane Technologies said this design increases thermal management system efficiency by 14%, with 10% of the heat rejection load directed to heat recovery.

A 1-gigawatt (approx. 3.41 billion BTU/h) AI Factory Mag-Bearing Air-Cooled System Architecture is scheduled to be available soon. Trane Technologies said the design uses 3-megawatt (approx. 10.2 million BTU/h) units to reduce equipment count and remove the need for integrated waterside economizers, and includes its magnetic-bearing air-cooled chiller with oil-free operation and chiller plant controls.

Trane Technologies also said it has advanced its digital capabilities for adopting the Omniverse DSX Blueprint with more automated, scalable OpenUSD-based SimReady assets enhanced with structured metadata. “These latest advancements represent a major step forward in helping enable the world’s most demanding AI and high-performance computing environments to scale sustainably, reliably and with accelerated digital insight,” said Mauro Atalla, Senior Vice President and Chief Technology and Sustainability Officer, Trane Technologies.

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