Vertiv Releases Gigawatt-Scale Architectures for NVIDIA Omniverse DSX

October 29, 2025
Vertiv has announced new gigawatt-scale reference architectures for NVIDIA’s Omniverse DSX Blueprint, designed to accelerate AI infrastructure deployment using its prefabricated OneCore platform and digital twin simulations.
Vertiv Releases Gigawatt-Scale Architectures for NVIDIA Omniverse DSX

Vertiv announced in a press release the launch of its gigawatt-scale reference architectures for the NVIDIA Omniverse DSX Blueprint. The designs aim to reduce Time to First Token by up to 50% for large-scale generative AI systems and support deployment on platforms such as NVIDIA Vera Rubin.

The new architectures use the Vertiv OneCore platform, which integrates compute, power, cooling, and services into a unified system. This prefabricated approach allows deployment flexibility across stick-built, hybrid, and fully prefabricated models, enabling faster implementation of AI factory infrastructure.

Vertiv’s reference designs feature optimized power topologies and advanced liquid cooling systems to manage high thermal loads from accelerated computing. The integration of digital twin simulations through SimReady 3D assets allows customers to model and validate AI factory designs before construction.

According to Vertiv, these architectures are already being applied in the design of several large-scale AI factory projects, providing scalable, energy-efficient infrastructure for multi-generational AI platforms.

We hope you enjoyed this article.

Consider subscribing to one of our newsletters like Silicon Brief or Daily AI Brief.

Also, consider following us on social media:

Subscribe to Silicon Brief

Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.

Market report

AI’s Time-to-Market Quagmire: Why Enterprises Struggle to Scale AI Innovation

ModelOp

The 2025 AI Governance Benchmark Report by ModelOp provides insights from 100 senior AI and data leaders across various industries, highlighting the challenges enterprises face in scaling AI initiatives. The report emphasizes the importance of AI governance and automation in overcoming fragmented systems and inconsistent practices, showcasing how early adoption correlates with faster deployment and stronger ROI.

Read more