Designing and operating data centers and AI infrastructure is becoming increasingly complex, especially when balancing performance, energy efficiency, and reliability at scale.

Supporting AI compute environments, hyperscale data centers, and advanced digital infrastructure requires operational resilience, scalability, and efficiency. This webinar will explore how organizations can leverage model-based systems engineering (MBSE), virtual twin experiences, and simulation to better plan, validate, and optimize these critical environments. 

Join TriMech and Dassault Systèmes AI experts to learn how the 3DEXPERIENCE platform enables teams to define system architectures, model infrastructure behavior, and simulate real-world conditions. We’ll cover topics ranging from cooling and airflow to power distribution and system performance so you can be ready before implementation. By combining MBSE with a virtual twin approach, organizations can improve traceability, reduce risk, and make more informed, system-level decisions across the lifecycle. 

In this AI-readiness webinar, you will learn:

• Key challenges in designing and optimizing data centers and AI infrastructure 

• How MBSE supports system-level architecture, traceability, and decision-making 

• How virtual twin technology enhances planning, validation, and lifecycle management 

• Approaches to simulating cooling, airflow, power distribution, and performance 

• Why Virtual Twins empower system performance through optimization

• Best practices for improving performance, reliability, and scalability