Nvidia today announced a significant expansion of the Nvidia Omniverse Blueprint for AI factory digital twins, now available as a preview.
The blueprint features new integrations across the AI factory power, cooling and networking ecosystems with industry leaders Delta Electronics, Jacobs and Siemens, joining existing partners Cadence, Schneider Electric with ETAP and Vertiv. With digital twins, these companies can prepare for a build AI factories in real life. Nvidia made the announcement at Computex 2025 in Taiwan.
This growing ecosystem unifies the design and simulation of billions of components required to build digital twins of AI factories. The expanded blueprint will equip engineering teams to design, simulate and optimize entire AI factories in physically accurate virtual environments, enabling early issue detection and the development of smarter, more reliable facilities.
Built on reference architectures for Nvidia GB200 NVL72-powered AI factories, the blueprint taps into Universal Scene Description (OpenUSD) asset libraries. This allows developers to aggregate detailed 3D and simulation data representing all aspects of the data center into a single, unified model, enabling them to design and simulate advanced AI infrastructure optimized for efficiency, throughput and resiliency.
AI factory ecosystem teams With Nvidia
The Omniverse Blueprint for AI factory digital twins brings together diverse partners and tools to optimize the design, simulation, deployment and operations of AI factories. Today, Nvidia announced that new partners are contributing to the framework.
Siemens is building 3D models according to the blueprint and engaging with the simulation-ready, or SimReady, standardization effort, while Delta Electronics is adding models of its equipment. Because these are built with OpenUSD, users get accurate simulations of their facility equipment. Jacobs is helping test and optimize the end-to-end blueprint workflow.
They join leaders in data center power and cooling solutions like Schneider Electric with ETAP and Vertiv, which contribute SimReady assets to populate the digital twin of the AI factory with 3D models of power, cooling and mechanical systems.
“As AI factories continue to scale at an unprecedented pace, the energy demands they generate are reshaping the entire digital infrastructure landscape,” said Tanuj Khandelwal, CEO of ETAP, in a statement. “Using the Omniverse Blueprint and SimReady assets, customers can test and optimize energy efficiency for the complexity and intensity of their AI workloads before even breaking ground.”
Connections to the Cadence Reality Digital Twin Platform and ETAP provide thermal and power simulation, enabling engineering teams to test and optimize power, cooling and networking long before construction begins. These contributions help Nvidia and its partners reshape how AI infrastructure is built to achieve smarter designs, avoid downtime and get the most out of AI factories.
“Digital twins are fundamental to meet the escalating global demand for AI factories,” said Ben Gu, corporate vice president of R&D for multiphysics system analysis at Cadence, in a statement. “The integration of the Cadence Reality Digital Twin Platform with the Nvidia Omniverse Blueprint transforms the entire engineering process to design AI factories more efficiently and operate them more effectively than ever before. We are excited to continue our full-stack collaboration with Nvidia.”
Building SimReady assets for AI factories
The OpenUSD-based models within the blueprint are inherently SimReady, designed from the ground up to be physics-based. This is especially valuable for developing and testing physical AI and agentic AI within these AI factories, enabling rapid and large-scale industrial AI simulations of power and cooling systems, building automation and overall IT operations.
A key enhancement to this blueprint is the SimReady standardization workflow. Originally developed as a SimReady standardization proposal to streamline NVIDIA’s internal creation of OpenUSD assets, this now publicly available, industry-agnostic resource offers standardized requirements and processes for developing SimReady capabilities. It empowers data center developers and owners to efficiently establish, optimize and rigorously test their own digital twins of critical infrastructure, particularly for electrical and thermal management within AI factories.
A Smarter road to AI infrastructure
The expansion of the Nvidia Omniverse Blueprint for AI factory digital twins marks a significant leap forward in how engineers design, simulate and build the sophisticated infrastructure required for industrial AI.
By providing a unified and physically accurate digital twin, built on the robust foundation of OpenUSD and guided by SimReady standardization, this blueprint enables the industry to de-risk development, optimize performance and accelerate the deployment of next-generation AI factories.
