Groowe Groowe BETA / Newsroom
⏱ News is delayed by 15 minutes. Sign in for real-time access. Sign in

Trane Technologies Expands System Architecture with Two New AI Factory Reference Designs Based on NVIDIA DSX AI Factory Platform

businesswire.com
TT Trane Technologies expands its data center thermal management portfolio with new AI factory reference designs based on NVIDIA's platform, highlighting energy efficiency and zero water consumption. This expansion, incorporating technologies from recent acquisitions, aims to address skilled labor shortages and accelerate deployment timelines for AI factories.

Trane Technologies Expands System Architecture with Two New AI Factory Reference Designs Based on NVIDIA DSX AI Factory Platform SWORDS, Ireland--( BUSINESS WIRE)--Trane Technologies (NYSE: TT), a global climate innovator, today announced the expansion of its data center thermal management system portfolio with two new 250-megawatt (MW) high-density AI factory reference designs, based on the NVIDIA DSX AI Factory p latform, that deliver high energy efficiency and zero water consumption cooling architectures.

The new reference designs build upon Trane Technologies’ industry-first thermal management system reference design for gigawatt-scale AI factories and add technologies from recently acquired companies LiquidStack™ and Stellar Energy. The new 250 MW blueprints deliver zero water consumption cooling architectures that maximize Token per Watt and reclaim significant electrical capacity for compute workloads. They also introduce Trane Technologies’ first reference design featuring Stellar Energy modular cooling plants, which help reduce time on the job site.

Additionally, the LiquidStack GigaModular Coolant Distribution Unit (CDU) platform integrated across both reference designs has qualified as an NVIDIA DSX Ready CDU, meeting applicable NVIDIA DSX reference design requirements for liquid-cooled AI infrastructure.

“When Trane Technologies introduced the industry’s first comprehensive thermal management reference design for gigawatt-scale AI factories, we set a new standard for holistic system efficiency across compute, facilities and climate systems,” said Mauro J. Atalla, Senior Vice President and Chief Technology and Sustainability Officer, Trane Technologies. “With our latest designs, we are incorporating new technologies and improvements that help data center developers overcome skilled labor shortages, compress deployment timelines and reclaim critical power for AI factories.”

“Efficiently scaling gigawatt-scale AI factories demands tightly coordinated power, cooling and compute infrastructure that operates as one unified system,” said Vladimir Troy, Vice President of AI Infrastructure at NVIDIA. “Trane Technologies’ new cooling reference designs incorporate LiquidStack’s GigaModular CDU, which has received the NVIDIA DSX Ready qualification. These new modular reference designs reduce integration risk, accelerate deployment and help operators maximize useful AI compute within available power, cooling and grid constraints.”

As a Power and Cooling NVIDIA Partner Network program member, Trane Technologies has expanded its reference design portfolio with two additional high-efficiency solutions for large-scale AI deployments and the qualification of the LiquidStack GigaModular CDU as NVIDIA DSX Ready:

To learn more about these and other Trane Continuum Rubin DSX reference designs, visit Data Center Reference Designs.

About Trane Technologies

Trane Technologies is a global climate innovator. Through our strategic brands Trane® and Thermo King®, and our portfolio of environmentally responsible products and services, we bring efficient and sustainable climate solutions to buildings, homes and transportation. For more on Trane Technologies, visit tranetechnologies.com.

Forward Looking Statements

This news release includes “forward-looking statements” within the meaning of securities laws, which are statements that are not historical facts, including statements that relate to our product and service innovations for AI data centers and the anticipated benefits of these innovations. These forward-looking statements are based on our current expectations and are subject to risks and uncertainties, which may cause actual results to differ materially from our current expectations. Factors that could cause such differences can be found in our Form 10-K for the year ended December 31, 2025, as well as our subsequent reports on Form 10-Q and other SEC filings. New risks and uncertainties arise from time to time, and it is impossible for us to predict these events or how they may affect the Company. We assume no obligation to update these forward-looking statements.