Nvidia announced today that the Nvidia Omniverse Blueprint for AI manufacturer digital twins is now available for preview, a considerable expansion.

With existing partners Cadence, Schneider Electric, ETAP, and Vertiv, business leaders Delta Electronics, &nbsp, Jacobs, and Siemens, the framework introduces new interfaces across the AI manufacturer power, cooling, and networking communities. These businesses can get ready for AI factories to be built in real life using modern twins. Nvidia made the announcement at Taiwan’s Computex 2025.

This expanding ecology combines the creation and modeling of billions of components needed to construct AI factories in addition to traditional, online twins. The expanded blueprint will enable first issue detection and the creation of better, more reliable facilities by enabling engineering teams to design, model, and promote complete AI factories in bodily accurate virtual environments.

The blueprint utilizes&nbsp, Universal Scene Description ( OpenUSD ), and&nbsp asset libraries, and is based on reference architectures for&nbsp, Nvidia GB200 NVL72-powered AI factories. This enables developers to combine detailed 3D and modeling data from all aspects of the data centre into a single, integrated model, enabling them to create and model sophisticated AI infrastructure that is optimized for efficiency, throughput, and resilience.

AI stock ecosystem collaborates with Nvidia

The Omniverse Blueprint for AI stock digital triplets brings up a variety of partners and tools to improve AI factory layout, model, implementation, and operation. Nvidia announced today that new companions are partnering with the foundation.

Delta Electronics is adding versions of its products, while Siemens is following the template and participating in the SimReady, or simulation-ready, standardization work. Users receive appropriate models of their hospital equipment because these are built using OpenUSD. Jacobs is assisting in the end-to-end template process testing and optimization.

They join Schneider Electric, Vertiv, and ETAP, which provide SimReady property to occupy the digital twin of the AI mill with 3D versions of energy, cooling, and electrical systems.

The power requirements they generate are reshaping the whole digital infrastructure landscape as AI companies continue to size at an exceptional rate, according to Tanuj Khandelwal, CEO of ETAP, in a declaration. Customers can test and optimize energy efficiency for the complexity and intensity of their AI workloads using the Omniverse Blueprint and SimReady assets before even launching a venture.

Connections to the&nbsp, Cadence Reality Digital Twin Platform&nbsp, and ETAP enable engineering teams to test and optimize power, cooling, and networking well before construction begins. These contributions enable Nvidia and its partners to reshape the way AI infrastructure is built to achieve smarter designs, reduce downtime, and maximize the use of AI factories.

According to Ben Gu, corporate vice president of R&amp, D for multiphysics system analysis at Cadence, “digital twins are essential to meet the growing global demand for AI factories.” The integration of the Cadence Reality Digital Twin Platform with the Nvidia Omniverse Blueprint transforms the entire engineering process to design AI factories more effectively and operate them more effectively than ever before. Our full-stack collaboration with Nvidia is a success.

creating SimReady components for AI factories

The blueprint’s OpenUSD-based models are inherently SimReady and built with physics in mind. This is especially useful for developing and testing these AI factories ‘ physical and artificial intelligence ( AI ) and agentic AI, which will allow for rapid and extensive industrial AI simulations of building automation, building automation, and overall IT operations.

The&nbsp, SimReady standardization workflow is a significant improvement to this blueprint. This now publicly accessible, industry-agnostic resource provides standardized requirements and procedures for developing SimReady capabilities, which was originally developed as a standardization proposal to streamline NVIDIA’s internal creation of OpenUSD assets. It enables data center owners and developers to effectively set up, optimize, and rigorously test their own digital twins of crucial infrastructure, particularly for electrical and thermal management in AI factories.

A smarter path to AI infrastructure

The Nvidia Omniverse Blueprint for AI factory digital twins expansion represents a significant improvement in how engineers create, simulate, and build the sophisticated infrastructure needed for industrial AI.

This blueprint, which provides a unified, physically accurate digital twin that is based on the solid foundation of OpenUSD and guided by SimReady standardization, de-risk development, increase performance, and speed up the deployment of next-generation AI factories.