Nvidia has today announced an important expansion of the NVIDIA OMIVERT BluePrint for digital factory twins AInow available in preview.
The plan includes new integrations through factory factory, cooling and networking ecosystems with leaders in the Delta Electronics industry, Jacobs and Siemens, joining the existing partners Cadence, Schneider Electric with ETAP and Vertiv. With digital twins, these companies can prepare for the creation of AI factories in real life. Nvidia made this announcement at Computex 2025 in Taiwan.
This growing ecosystem unifies the design and simulation of billions of components necessary to build digital twins of AI factories. The enlarged plan will allow engineering teams to design, simulate and optimize whole AI factories in physically precise virtual environments, allowing the detection of the first problems and the development of smarter and more reliable installations.
Built on reference architectures for NVIDIA GB200 IA factories powered by NVL72The plan draws from Description of the universal scene (Openusd) asset libraries. This allows developers to aggregate 3D and simulation detailed data representing all aspects of the data center in a single unified model, allowing them to design and simulate an advanced AI infrastructure optimized for efficiency, flow and resilience.
AI factory ecosystem teams with NVIDIA
The omniversary plan for digital AI factory twins brings together various partners and tools to optimize the design, simulation, deployment and operations of AI factories. Today, NVIDIA has announced that new partners contribute to the framework.
Siemens builds 3D models according to the plan and engages with the standardization effort ready for simulation, or Simraady, while Delta Electronics adds models of its equipment. Because these are built with Openusd, users obtain precise simulations of their installation equipment. Jacobs helps test and optimize the BluePrint workflow from start to finish.
They join the leaders in power and cooling center power solutions such as 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.
“While the factories of AI continue to expand at an unprecedented rate, the energy requirements they generate are to reshape the entire landscape of digital infrastructure,” said Tanuj Khandelwal, CEO of ETAP, in a press release. “Using the omniversary plan and Simready assets, customers can test and optimize energy efficiency for the complexity and intensity of their IA workloads before even innovating.”
Connections with the Cadence Reality Digital Twin Platform And ETAP provide thermal and power simulation, allowing engineering teams to test and optimize power, cooling and networking well before the start of construction. These contributions help Nvidia and its partners to reshape the way in which AI infrastructure is built to make smarter conceptions, avoid stoppages and make the most of the AI factories.
“Digital twins are fundamental to responding to the climbing of global AI factories demand,” said Ben Gu, R&D vice-president for the analysis of the Multiphysics in Cadence, in a press release. “The integration of the Twin Digital Reality Digital platform with the BluePrint Nvidia Omovers transforms the entire engineering process into AI factories more efficiently and exploit them more effectively than ever. We are delighted to continue our complete collaboration with Nvidia. ”
Build Simready assets for AI factories
Openusd -based models in the plan are intrinsically SimrateadDesigned from zero to be based on physics. This is particularly useful for development and tests HAVE And Agentic Within these AI factories, allowing rapid industrial AI simulations and on a large scale of power and cooling systems, automation of buildings and global IT operations.
A key improvement in this plan is the Simredy standardization work flow. Originally developed as a SIMREADY standardization proposal to rationalize internal creation by NVIDIA of OpenUSD assets, this resource now accessible to the public offers standardized requirements and processes to develop SIMREADY capabilities. It allows developers and owners of the data center to establish, optimize and rigorously test their own digital critical infrastructure twins, in particular for electrical and thermal management in AI factories.
A smarter road to AI infrastructure
The expansion of the Omniverse NVIDIA plan for digital factory twins of the AI marks a leap forward in the way engineers design, simulate and build the sophisticated infrastructure required for industrial AI.
By providing a unified and physically precise digital twin, built on the robust openness of openusd and guided by Simready standardization, this plan allows the industry to deactivate development, optimize performance and accelerate the deployment of new generation AI factories.
