Validating AI Factory Design Challenges with Physical System-Level Testing
Vertiv, Wednesday, November 4th, 2026
Vertiv brief: AI factories must be validated as whole systems, with closed-loop simulation and physical testing of power and cooling together.
Vertiv argues that AI factory economics depend on whether electrical capacity can be turned into productive compute quickly, reliably and at a justifiable cost.
That depends on how power trains, thermal chains, controls and software behave together under real AI workloads, not on individual components.
Testing parts against isolated specifications is still necessary but misses the problems that sit at the interfaces between systems.
The application brief introduces a closed-loop methodology linking virtual simulation, physical system-level testing, field deployment and operational learning, with each cycle reducing the gap between design and real-world performance.