Speed, Scale & Resiliency: A System Lens for Next-Generation Data Centers
Date: Tuesday, September 8, 2026
Time: 1:00 PM (GMT-04:00) Eastern Time - New York
Duration: 60 minutes
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The acceleration of AI is creating unprecedented challenges for data center infrastructure, rendering traditional cooling design methods obsolete. With rising rack densities, silicon divergence, and compressed deployment timelines, a new approach is required. This session explores how Trane, by Trane Technologies, is addressing this complexity through an integrated thermal management system lens. We will discuss our "engineered flexibility" philosophy, which moves beyond rigid standardization to deliver adaptable, repeatable outcomes tailored to specific site and compute needs. Learn how our codesign process, modular deployment strategies, and a full stack of integrated solutions—from high-capacity chillers and liquid cooling to advanced controls and smart services—provide the speed, scale, and resiliency necessary to support the future of AI data centers. Join us to discover how to turn thermal complexity into a competitive advantage.
Participants will discover:
- Why AI workloads are forcing owners and operators to rethink thermal strategy
- How taking a system lens helps hyperscale and colocation teams move beyond one-off equipment acquisition
- What engineered flexibility looks like in practice
Speaker:
Matt Orcutt
VP of Strategy and Systems Product Management, Data Centers at Trane Technologies
Trane
Matt Orcutt serves as the VP of Strategy and Systems Product Management for Data Centers at Trane Technologies, where he leads the development of advanced thermal management solutions for the rapidly evolving digital infrastructure landscape. With over 25 years of industry experience driving transformation across product and digital teams, Matt specializes in the high-efficiency cooling architectures required for modern, high-density computing. Partnering with top AI industry leaders, he recently spearheaded the data center industry’s first comprehensive thermal management reference design for gigawatt-scale AI factories. Matt’s work ensures that next-generation data centers are equipped to sustainably handle the intensive energy and cooling demands of the AI era.
