Integrated Cooling, Power & Energy Management

AI data centers (AI factories) are undergoing a major transformation, driven by rapidly rising compute requirements, higher power density, the shift to liquid and emerging two-phase cooling technologies, and increasingly complex energy harvesting strategies.

Beyond thermal challenges inside the data center, facilities planners and operators must also navigate increasingly complex power supply management: balancing utility grid power with behind-the-meter resources such as generators, batteries, and renewables, while maintaining “five nines” reliability, controlling cost, and meeting sustainability goals.

In this introductory first part of a webinar series, we show how GT-SUITE enables an integrated, system-level approach by modeling cooling, power, controls, and energy infrastructure together from chip to facility. Through a focused use case demo (e.g., thermal ride-through following a cooling power interruption), you’ll see how fast and accurate, integrated, system simulation supports decision making from early concept and architecture trade studies (before construction) through detailed design, controls development, and product-in-use digital twin deployment. This is the first in a broader webinar series on next-generation data center engineering.

What you will learn: 

• Common technical challenges faced by various stakeholders in AI data centers

• The power and breadth of GT-SUITE system simulation solutions in addressing these challenges for AI data center development, both inside and outside the data center

• Why using GT-SUITE for system simulation empowers a modular and fungible AI data center design

• How GT‑SUITE spans “concept to product‑in‑use” - from early conceptual design and layout, to detailed analysis, to real‑time control and operational integration including SCADA system integration and digital twins.