#USA #Columbus #Digital Twin #NVIDIA Omniverse #Vertiv SmartRun

Vertiv Introduces Groundbreaking Digital Twin Technology

Vertiv, a leader in critical digital infrastructure solutions, has made a significant announcement that promises to reshape the landscape of AI factory design. The company has unveiled a production-grade digital twin capability integrated with NVIDIA's Omniverse DSX, aimed at streamlining the design, simulation, and deployment processes of AI infrastructure.

The Need for a Model-Based Approach

As AI deployments become increasingly complex, traditional document-based methods simply cannot keep up with the rapid evolution of computing technologies. Shortcomings in coordination between power, cooling, controls, and deployment teams often lead to inefficiencies and delays. The Vertiv™ SmartRun digital twin addresses these challenges by shifting the planning paradigm from a document-centric to a model-based approach. This innovation enables teams to design, simulate, and validate infrastructure as a cohesive system before physical build-out begins.

In this model, all aspects of AI infrastructure are configured and simulated in a virtual environment, which significantly reduces the likelihood of late-stage design changes and integration issues. The digital twin encapsulates system configurations and dependencies, allowing for realistic simulations that enhance team coordination and optimize workflows.

Advancements in AI Infrastructure Planning

Scott Armul, Vertiv's chief product and technology officer, explained the necessity of evolving infrastructure planning. He stated, "AI infrastructure can no longer be planned one compute generation at a time." The integration of power, cooling, controls, and deployment workflows as a unified system is essential for meeting the growing demands of AI technologies. The new digital twin technology provides configurable, simulation-ready building blocks that enable faster, more reliable planning for AI factories. This approach not only enhances operational efficiency but also positions clients to respond swiftly to future compute requirements.

The SmartRun digital twin represents the initiating phase in Vertiv’s strategic roadmap towards a multi-phase AI factory digital twin initiative. By mitigating gaps between rapid compute innovation and the readiness of physical infrastructures, this tool preserves the engineering intent from initial configurations through to deployment, lifecycle assurance, and optimization.

Collaboration with Industry Leaders

In collaboration with NVIDIA, Vertiv's digital twin technology utilizes the NVIDIA Omniverse DSX Blueprint. This ecosystem equips users to construct, simulate, and refine AI factory digital twins capable of supporting gigawatt-scale operations. This partnership underlines the importance of full-stack co-design across both computing and physical infrastructures.

Vladimir Troy, NVIDIA's vice president of AI Infrastructure, highlighted the collaborative nature of this advancement, stating that it will allow customers to assess infrastructure choices early in the design process and prepare for multiple generations of accelerated computing processes. The goal is to optimize AI factory design and readiness across diverse operational scales.

Demonstrations at Computex Taipei 2026

At Computex Taipei 2026, Vertiv plans to showcase the SmartRun technology both as a standalone physical infrastructure system and as a configurable digital twin. Attendees will have the opportunity to explore various configuration scenarios and understand how model-based design choices can aid downstream planning and simulation workflows.

The demonstrator leverages Dassault Systèmes’ model-based systems engineering capabilities on the 3DEXPERIENCE platform, creating an integrated digital foundation conducive to simulation, validation, and future optimization throughout the AI factory lifecycle.

Stéphane Sireau, vice president of high tech industry at Dassault Systèmes, remarked on the power of digital twins to encapsulate the complex intelligence of infrastructure systems. The transition toward a model-based systems engineering approach is set to optimize speed, quality, and performance across the design process.

In summary, Vertiv's innovative digital twin technology represents a significant leap forward in the world of AI infrastructure. By merging advanced simulation capabilities with practical design functionalities, Vertiv is positioning itself at the forefront of digital infrastructure solutions. As we look toward the future, this technology paves the way for more resilient, efficient, and scalable AI environments.

For additional insights and a detailed overview, visit Vertiv.com.