Scaling AI-Enabled Digital Twins Across the Data Center Lifecycle with OpenUSD

Enterprise data center operations face challenges with siloed tools and inconsistent data models that hinder comprehensive lifecycle management. This paper explores the transformative potential of open, AI-enabled digital twin platforms built on OpenUSD. By unifying disparate systems and data, these platforms facilitate higher-confidence planning, design, construction, and operational decisions. Gain insights into how this architectural shift empowers system-level reasoning and accelerates time-to-power and revenue while reducing total cost of ownership.