Johnson Controls launches series of thermal management reference design guides for gigawatt-scale AI data centers
Comprehensive guides address water-cooled, air-cooled and absorption chiller use cases, integrated with advanced building controls, for next-generation AI factories
As AI transforms industries, the scale and complexity of data center infrastructure is rapidly evolving. The ability to efficiently manage thermal loads at gigawatt scale is now a critical enabler for AI innovation, and the industry faces mounting pressure to deliver facilities that are not only high-performing, but also sustainable and future-ready.
The guide outlines a complete thermal architecture supporting both liquid and air- cooled- IT loads through integrated computer room air handlers (CRAHs), fan coil walls, coolant distribution units (CDUs) and high efficiency YORK centrifugal chillers. It provides- detailed sizing guidance for 220MW compute quadrants and defines temperature and operating conditions across all major facility loops, including Technology Cooling System (TCS) loops supporting next- generation GPUs.
Key outcomes enabled by the updated design include:
- Zero Water Consumption: A fully water free heat rejection process using dry coolers, reducing operational costs and advancing sustainability objectives.
- Future Ready- Thermal Flexibility: High -temperature TCS loop readiness ensures compatibility with forthcoming GPU architectures.
- Optimized High Density- AI Performance: Alignment with NVIDIA DSX reference architecture enables scalable deployment of 1-GW-class AI Factories.
- Energy Efficient- Operation: Elevated condenser water temperatures, bifurcated loops and YORK high-lift chillers deliver industry-leading PUE and improved annualized efficiency.
"AI Factories are production facilities — the places where intelligence is manufactured at an industrial scale," said
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