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Johnson Controls Reference Designs
Global Reference Design Guides for Gigawatt-scale AI Factories
Designed for the emerging class of AI Factories, our global reference design guides outline how to build high-performance, scalable facilities.
Each blueprint maps the full thermal chain, from capturing heat at the chip level to managing the final atmospheric rejection, enabling flexible, scalable solutions that can achieve industry-leading PUE and WUE.
Globally repeatable blueprint for cooling AI factories efficiently and sustainably. The outlined approach can enable:
- 50MW returned to the AI factory through bifurcated loops for air- and liquid- cooling systems
- 32% improvement in annual energy consumption
- Zero water usage that can save over 12 million gallons daily
Full technical blueprint for a water-cooled chiller plant that can serve a full 1GW AI Factory to deliver the following critical outcomes:
- Zero water usage in the cooling process
- Future-ready for high-temperature coolant loops
- Optimized for high-density AI workloads and energy-efficient performance
Absorption chiller blueprint that outlines how to convert waste heat into productive cooling for an AI factory. This approach helps deliver potential outcomes including:
- PUE as low as 1.23 with zero on-site water use and up to 43% lower CO₂ cooling system emissions
- Up to 97MW of additional AI capacity unlocked from existing power infrastructure
- Up to 44% of reduction in cooling electrical demand
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