Building AI Factories Faster: A Systems Engineering Approach to AI Infrastructure

India’s AI ambitions are driving an unprecedented wave of AI Factory investments. But deploying AI-grade infrastructure is no longer just about building data centers. It requires orchestrating compute, networking, power, cooling, building, and operations as one integrated system.

Watch the session to discover how Model-Based Systems Engineering (MBSE) and the NVIDIA Omniverse DSX Blueprint can help organizations accelerate deployment, reduce integration risks, and optimize AI Factory performance from day one.

What You’ll Discover

• Why AI Factories require a systems engineering approach
• How the NVIDIA DSX Blueprint and Dassault Systèmes can reduce deployment complexity
• How to virtually validate power, cooling, compute, and networking decisions before deployment
• How leading organizations can accelerate AI Factory readiness while reducing operational risk
• How MBSE can improve scalability, uptime and infrastructure performance

About This Series

This is Session 1 of the India AI Factory Webinar Series. Session 2 covers the MODSIM advantage for data center design, while Session 3 explores how Virtual Twins can optimize AI Factory operations. Access the full series to watch all three recordings.