NVIDIA has significantly expanded the NVIDIA Omniverse Blueprint for AI factory digital twins, now available as a preview with new integrations across AI factory power, cooling and networking ecosystems. The expanded platform includes partnerships with Delta Electronics, Jacobs and Siemens, joining existing partners Cadence, Schneider Electric with ETAP and Vertiv to unify design and simulation of billions of components required for AI factory digital twins.
The blueprint enables engineering teams to design, simulate and optimise entire AI factories in physically accurate virtual environments, supporting early issue detection and development of more reliable facilities. Built on reference architectures for NVIDIA GB200 NVL72-powered AI factories, the system utilises Universal Scene Description asset libraries allowing developers to aggregate detailed 3D and simulation data into unified models for advanced AI infrastructure optimisation.
Siemens is building 3D models according to the blueprint specifications while engaging with the SimReady standardisation effort. Delta Electronics is contributing equipment models, and Jacobs is helping test and optimise the end-to-end blueprint workflow. All models are built with OpenUSD to ensure accurate facility equipment simulations.
Tanuj Khandelwal, CEO of ETAP, stated that "as AI factories continue to scale at an unprecedented pace, the energy demands they generate are reshaping the entire digital infrastructure landscape." He emphasised that "using the Omniverse Blueprint and SimReady assets, customers can test and optimise energy efficiency for the complexity and intensity of their AI workloads before even breaking ground."
Ben Gu, corporate vice president of R&D for multiphysics system analysis at Cadence, noted that "digital twins are fundamental to meet the escalating global demand for AI factories." He described how "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."
The platform includes a SimReady standardisation workflow, originally developed for NVIDIA's internal OpenUSD asset creation and now publicly available as an industry-agnostic resource. This workflow provides standardised requirements and processes for developing SimReady capabilities, enabling data centre developers to establish, optimise and test digital twins of critical infrastructure for electrical and thermal management.
The expanded blueprint addresses AI factory development challenges by enabling comprehensive testing and optimisation of power, cooling and networking systems before construction begins. Engineering teams can identify potential issues early while optimising facility designs for efficiency, throughput and resiliency requirements.
NVIDIA's comprehensive digital twin platform positions the company to capture significant value from the AI infrastructure boom by providing essential design and optimisation tools for AI factory development. The growing ecosystem of industry partners strengthens NVIDIA's position in the multi-billion-dollar AI infrastructure market while establishing technical standards that could influence future facility development approaches.