Vertiv & NVIDIA Unveil AI Factory Digital Twin Platform

Published: June 3, 2026

Vertiv & NVIDIA Unveil AI Factory Digital Twin Platform

Vertiv Launches AI Factory Digital Twin with NVIDIA to Overhaul Data Center Infrastructure; Market Growth Accelerated

TAIPEI, Taiwan — June 3, 2026 — As global demand for high-density artificial intelligence compute capabilities outpaces traditional infrastructure layouts, Vertiv has officially introduced its first AI factory digital twin roadmap stage. Developed in partnership with NVIDIA and Dassault Systèmes, the virtual environment marks a critical shift toward co-designing physical power and cooling systems alongside accelerated silicon architectures.

The launch, unveiled at the Computex conference, introduces a digital twin for Vertiv's SmartRun infrastructure system natively integrated into the NVIDIA Omniverse DSX Blueprint. The platform aims to resolve a persistent pain point for operators: safely deploying complex, multi-megawatt AI clusters without costly physical hardware retrofits.

A Shift to Model-Based Systems Engineering

By leveraging Dassault Systèmes' 3DEXPERIENCE platform, the system replaces traditional, siloed engineering documents with an interconnected virtual model. This model ensures that thermal dynamics, power flow controls, and mechanical dependencies are validated in real time before physical ground is ever broken.

"AI infrastructure can no longer be planned one compute generation at a time," stated Scott Armul, Chief Product and Technology Officer at Vertiv. He emphasized that the collaborative tool helps operators encode structural expertise into deployment blocks, maximizing tokens per second per megawatt.

Key Capabilities at a Glance:

  • Unified Full-Stack Validation: Seamless integration of physical cooling, power, and operational layouts with accelerated compute workloads.

  • OpenUSD Asset Integration: Leverages the NVIDIA Omniverse DSX platform for highly accurate, physics-backed simulation of gigawatt-scale AI factories.

  • Lifecycle Design Assurance: Offers a single, persistent digital layout spanning configuration, initial commissioning, and post-deployment optimization.

Market Implications and Strategic Outlook

The fusion of spatial computing with critical infrastructure is drawing massive attention from industrial market intelligence firms. The initiative addresses structural bottlenecks currently capping the rollout speed of next-generation chips like NVIDIA’s latest microarchitectures.

"The introduction of high-fidelity Digital Twins into the data center lifecycle is reshaping infrastructure investment profiles," notes a Lead Analyst at Next Move Strategy Consulting. "According to NMSC insights, the demand for interoperability and co-design elements is forcing a permanent departure from legacy, decoupled planning processes."

By bridging the gap between hardware engineering and concrete deployment, the alliance signals an automated future for industrial facility layout design, setting a new benchmark for speed and performance.

Source: IT Brief Asia

Prepared By: Prakhyat Chowdhury

About the Author

Sanyukta Deb Sanyukta Deb — Sanyukta Deb is Digital Marketing Team Lead at Next Move Strategy Consulting, where she has led content strategy and technical SEO for the firm's B2B market research publications for over 2 years. Her editorial process translates NextMSC's primary and secondary research — spanning technology, industrial, and consumer sectors — into commercial narratives, backed by search-intent, keyword, and competitive analysis. She brings 5 years of overall experience in digital marketing and content strategy.

About the Reviewer

Debashree Dey Debashree Dey — Debashree Dey is Assistant Manager at Next Move Strategy Consulting, where she supports cross-vertical market content and communications across diverse industries for 6 years. Her professional background includes senior content writing, communications, and published manuscript authorship, with experience developing audience-focused business narratives and maintaining clear, consistent messaging. Her role supports research-led content development and editorial quality across NextMSC publications.

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