Why data center digital twins struggle to scale—and how to fix it

Data center infrastructure is growing more complex and harder to manage with siloed digital twin tools. Traditional platforms often lack interoperability, fidelity, and lifecycle knowledge persistence, forcing teams to reconcile fragmented models and make decisions with incomplete context.

This white paper explores how open frameworks like OpenUSD unify digital twin data across planning, construction, and operations, enabling AI-driven insights. Topics include:

• Preserving design intent across tools and phases
• Use cases like co-simulation and AI-assisted exploration
• Steps to adopt lifecycle-scale digital twin architectures

Read to learn how open frameworks improve decision-making.