Cadence at ASHRAE: Advancing AI Infrastructure Through Integrated Engineering

24 Jun 2026 • 2 minute read

From June 27 to July 1, industry leaders will gather in Austin, Texas, for the 2026 ASHRAE Annual Conference—one of the most important forums shaping the future of the built environment and thermal management. As AI continues to drive unprecedented demand for data centers, this year's event comes at a critical moment for the industry.

For decades, ASHRAE has played a central role in defining standards and best practices across HVAC, energy efficiency, and system design. Today, that mission is expanding. The rapid rise of AI infrastructure is pushing power density, cooling requirements, and system complexity to new extremes—requiring closer collaboration across mechanical, electrical, and digital engineering domains.

Cadence will be actively participating in this year's conference, contributing to key discussions on modeling, simulation, and AI-driven optimization for next-generation data centers.

Featured Sessions: Modeling and AI in Focus

Cadence's Matthew Käufeler will present in two sessions that highlight the evolving intersection of physics-based modeling and artificial intelligence:

These sessions address a fundamental challenge facing engineers today: how to effectively model increasingly complex systems that span chip, system, and facility scales.

Traditional compact models remain essential for their physical accuracy, interpretability, and reliability—particularly in early-stage design and validation. At the same time, AI is unlocking new capabilities, enabling faster simulations, adaptive optimization, and real-time operational insights.

The conversation is no longer about choosing one approach over the other, but about combining them. Hybrid modeling strategies—where physics-based methods are augmented by AI—are emerging as a powerful way to balance accuracy, speed, and scalability.

From Simulation to Real-Time Intelligence

As AI factories scale toward hundreds of megawatts and beyond, static analysis alone is no longer sufficient. Data center operators need faster, more adaptive decision-making capabilities that extend beyond design into live operations.

By integrating computational fluid dynamics (CFD) with AI, engineers can create intelligent workflows where simulation and data continuously inform each other. CFD-informed AI models enable near-real-time predictions, while AI-guided simulations focus computational effort where it has the greatest impact.

This convergence is also foundational to digital twin approaches. Platforms such as the Cadence Reality Digital Twin Platform build on these principles, combining high-fidelity simulation with operational data to create continuously evolving models of infrastructure. The result is a more dynamic way to monitor performance, anticipate issues, and optimize systems across their full lifecycle.

Engaging with the ASHRAE Community

Cadence's participation in ASHRAE reflects a broader commitment to advancing industry dialogue around modeling innovation and AI-driven engineering workflows.

Events like ASHRAE are critical because they bring together experts across traditionally separate disciplines. Solving the challenges of AI infrastructure—whether thermal constraints, power efficiency, or system integration—requires collaboration that spans chip design, facility engineering, and operations.

Meet Us in Austin

As the industry transitions toward highly integrated, AI-driven infrastructure, the importance of cross-domain collaboration and advanced modeling has never been greater. The ASHRAE Annual Conference provides a unique opportunity to engage with peers, exchange ideas, and explore emerging technologies shaping the future.

We look forward to connecting with customers, partners, and industry experts in Austin. Join Cadence at the ASHRAE Annual Conference to learn how integrated modeling, AI, and digital twin approaches are enabling smarter, more efficient, and more scalable AI infrastructure.

Learn more about the Cadence Reality Digital Twin Platform.