Vertiv Introduces First Converged Physical Infrastructure Digital Twin for NVIDIA Omniverse DSX
🏭 Vertiv has launched a production-grade digital twin capability integrated into the NVIDIA Omniverse DSX Blueprint for its SmartRun platform.
🤖 This model-based approach allows AI factory infrastructure to be designed, simulated, and validated as a single system before physical build-out.
⚡ The solution addresses challenges posed by scaling AI deployments to higher densities where traditional document-based processes are too slow.
🔌 Scott Armul, CPTO at Vertiv, stated that power, cooling, controls, and deployment workflows must be designed as one interdependent system to deliver more tokens per second per megawatt.
🧩 The digital twin encodes Vertiv's infrastructure expertise into configurable building blocks that support faster and more confident AI factory planning.
🗺️ This launch represents the first phase of Vertiv’s multi-phase roadmap to close the gap between compute innovation and physical infrastructure readiness.
🤝 NVIDIA VP Vladimir Troy emphasized that full-stack co-design across compute and physical infrastructure is required for gigawatt-scale AI factories.
🛠️ The workflow utilizes OpenUSD, SimReady assets, and simulations for power, thermal, and operational analysis within the NVIDIA Omniverse DSX Blueprint.
📅 At Computex Taipei 2026, Vertiv will demonstrate SmartRun as both a physical system and a configurable digital twin for attendees to explore.
🏗️ The demonstrator was created using Dassault Systèmes model-based systems engineering capabilities on the 3DEXPERIENCE platform.
🔄 It establishes a shared digital foundation for configuration, simulation, validation, and future optimization across the AI factory lifecycle.
📊 Stéphane Sireau from Dassault Systèmes noted that this approach moves infrastructure design from document-based workflows toward an industrialized model-based systems engineering method.
🏢 Vertiv is headquartered in Westerville, Ohio, USA, and operates in more than 130 countries globally.
📈 The company provides hardware, software, analytics, and services to enable vital applications to run continuously and perform optimally.
🌐 Their portfolio includes power, cooling, and IT infrastructure solutions extending from the cloud to the edge of the network.
- Vertiv introduces a production-grade digital twin capability integrated into NVIDIA Omniverse DSX Blueprint, advancing its roadmap to make AI factory infrastructure more configurable, repeatable, and simulation-ready.
- The model-based approach allows infrastructure to be designed, simulated, and validated as a single system before build-out, helping reduce late-stage design changes and integration risk.
- Vertiv SmartRun digital twin accelerates time from planning to operational readiness while improving coordination across power, cooling, controls, and deployment teams.
- The solution encodes Vertiv's infrastructure expertise into configurable, simulation-ready building blocks that support faster, more confident AI factory planning.
- At Computex Taipei 2026, Vertiv will demonstrate Vertiv™ SmartRun as both a physical infrastructure system and a configurable digital twin, allowing attendees to explore configuration scenarios.
- The demonstrator establishes a shared digital foundation for configuration, simulation, validation, and future optimisation across the AI factory infrastructure lifecycle.
- Vertiv is helping customers translate future compute requirements into deployable physical infrastructure before those requirements reach full deployment scale.
- The article highlights that traditional document-based processes and siloed handoffs across power, cooling, controls, and deployment teams 'can't keep pace' with scaling AI deployments to higher densities.
- Vertiv's new digital twin capability is described as the 'first phase in Vertiv's multi-phase AI factory digital twin roadmap', implying that significant further development and implementation steps remain before full readiness.
- The initiative aims to 'close the gap between accelerated compute innovation and physical infrastructure readiness', indicating a current shortfall or lag in infrastructure capabilities relative to compute growth.