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, & operations as one integrated system.

Join Dassault Systèmes & NVIDIA to discover how Model-Based Systems Engineering (MBSE) & the DSX Blueprint help organizations accelerate deployment, reduce integration risks, & optimize AI Factory performance from day one.

What You Will Learn

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

Who Should Attend

• Leaders at AI factories, neo cloud operators & hyperscaler infrastructure teams
• IT engineering & systems architecture teams deploying AI infrastructure
• C&SI & EPC leads managing AI data center buildouts
• CIOs & VP Infrastructure overseeing AI factory performance & reliability

About This Series

This is Session 1 of India AI Factory webinar series. Session 2 covers the MODSIM advantage for data center design. Session 3 addresses how to leverage Virtual Twins to optimize AI factory operations. Register for the full series to receive all recordings.