NVIDIA Expands Omniverse Blueprint: Pioneering the Future of AI Factory Digital Twins

Santa Clara, CA — In a significant leap forward for industrial AI and data center innovation, NVIDIA has unveiled a major expansion of its Omniverse Blueprint, the company’s vision for building AI factory digital twins. This latest advancement includes powerful new integrations with global engineering and infrastructure leaders Siemens, Delta Electronics, and Jacobs, bringing their real-world equipment models and specialized design tools directly into the Omniverse simulation ecosystem.

With these strategic partnerships, NVIDIA is turning its Omniverse into the definitive platform for virtualizing every facet of AI data center planning and operations—from blueprint to build-out to live performance monitoring.

“We’re creating the blueprint for the AI factories of the future,” said an NVIDIA spokesperson. “These enhanced capabilities let organizations simulate, optimize, and scale AI infrastructure before even laying a single brick.”

What’s New in the Expanded Omniverse Blueprint?

At the heart of this expansion is deep interoperability with partner technologies:

• Siemens brings its industrial automation and simulation solutions, enabling accurate modeling of power systems and factory processes.

• Delta Electronics contributes sophisticated thermal management and power distribution models.

• Jacobs, a leader in infrastructure design, adds architectural and environmental planning expertise to the mix.

Together, these integrations allow engineers to simulate the full digital twin of an AI data center, including:

• Power distribution networks

• Cooling and thermal systems

• Network infrastructure

• Physical layout and structural design

The platform’s rich 3D environment—powered by NVIDIA RTX—offers real-time visualization and simulation, enabling users to interactively test scenarios, spot inefficiencies, and explore alternative configurations long before construction begins.

From Blueprint to Benefit: Why It Matters

This unified simulation framework is a game-changer for AI infrastructure. With Omniverse, teams can:

• Validate power and cooling strategies before deployment

• Simulate hardware performance under different loads

• Predict maintenance needs with AI-driven analytics

• Collaborate in real time across disciplines using accurate, shared digital representations

For example, a data center planner can test various cooling layouts—incorporating Delta Electronics’ hardware—within a Siemens-modeled control loop, and receive performance feedback in real time. The result? More efficient facilities, fewer costly retrofits, and significantly reduced environmental impact.

The Bigger Picture: AI Factories, Not Just Data Centers

NVIDIA refers to these next-generation data centers as “AI factories”—hyper-efficient, modular environments purpose-built to train and deploy massive AI models. As demand for generative AI surges, building and operating these facilities becomes more complex, more expensive, and more critical to long-term success.

Omniverse Blueprint serves as the central hub for managing that complexity. By turning static CAD files and siloed engineering systems into interactive, intelligent simulations, NVIDIA is offering enterprises a way to accelerate time-to-insight, reduce risk, and ensure optimal performance from day one.

TL;DR: NVIDIA has supercharged its Omniverse Blueprint for building AI factory digital twins by integrating real-world tools from Siemens, Delta, and Jacobs. Engineers can now simulate entire AI data centers—including power, cooling, and network systems—in a live 3D environment, driving smarter designs, lower costs, and higher efficiency.