2026 Event Schedule

As AI data centers outgrow conventional commercial design, they must evolve into true industrial infrastructure. This session introduces MHI’s system level approach, applying proven industrial energy, power, cooling, and control technologies to AI scale facilities.

We illustrate the transition from grid dependent power to hybrid on site generation, from low voltage to medium voltage and HVDC distribution, and from air based to highly efficient water based cooling. We also show how plant grade monitoring and control enable global optimization across efficiency, reliability, and deployment speed.

Attendees will gain a practical framework for building decarbonized AI infrastructure that scales responsibly and resiliently.

3 Takeaways:

1.Why AI data centers must evolve from commercial facilities to industrial infrastructure, using hybrid grid and on-site generation to overcome energy, reliability, and carbon constraints.

2.How integrated industrial-grade optimization—across power generation, HVDC distribution, cooling, heat recovery and plant-level control—outperforms siloed design approaches.

3.How modular systems accelerate megaproject deployment while improving efficiency, scalability, and overall performance.