To address these evolving needs, a new infrastructure design approach is now available that reduces complexity, increases pre-construction confidence, and accelerates the time to operational capability. Through its collaboration with NVIDIA, Vertiv delivers simulation-ready (DSX SimReady) digital power and cooling assets, validated interfaces, and repeatable infrastructure building blocks designed to help customers deploy AI factories faster and with greater operational assurance.
This work reflects an expansion of Vertiv’s established approach to converged physical infrastructure: a system-level model that integrates power, cooling, controls, and services into interdependent designs, optimized across the entire power and thermal chain. This approach is made possible by five fundamental elements: repeatable building blocks, defined interfaces, systems orchestration, digital continuity, and lifecycle support. Together, these elements enable more scalable AI factory implementations by helping to reduce design complexity, strengthen coordination across infrastructure domains, and improve confidence from initial design through deployment and operation.
At the heart of this approach is a scalable building block architecture, designed around the standardized 12.5 MW infrastructure blocks of Vertiv™ OneCore integrated modular solutions. These blocks can be combined, configured, and scaled to support deployments ranging from small AI clusters to gigawatt (GW) scale “AI factories.” By establishing repeatable block-level designs with validated interfaces, Vertiv aims to simplify scaling while improving deployment consistency, system coordination, and operational performance.
“AI factories are forcing a fundamental shift in how digital infrastructure is designed, validated, and deployed,” said Scott Armul, chief product and technology officer at Vertiv. “Vertiv’s role is to help transform complex AI infrastructure—moving from a collection of standalone products to converged, simulation-ready physical systems. By collaborating with NVIDIA, we’re helping customers move faster from design to deployment. By combining our portfolio of power and cooling solutions with validated interfaces and digital models, we can help customers accelerate development, improve operational confidence, and achieve greater performance per watt.”.
Vertiv's collaboration is driving the development of digitally validated "AI factory" infrastructures, using real-time simulations and system-level modeling before physical deployment begins. This approach is designed to help customers:
Reduce deployment complexity and on-site integration risks.
Accelerate timelines to operational deployment.
Improve infrastructure coordination across power, cooling, and controls.
Optimize performance, from grid connection to chip-level thermal management and heat reuse pathways.
Vertiv's contribution is based on its ability to unify one of the industry's most comprehensive portfolios, encompassing critical power, thermal management, integrated controls, and lifecycle services, into a cohesive, converged physical infrastructure. Unlike conventional modular or prefabricated approaches that focus on shortening timelines, converged physical infrastructure is designed to deliver both rapid deployment and cumulative system-level improvements. By standardizing interfaces and creating repeatable building blocks, Vertiv aims to support more scalable AI factory deployments while improving performance, efficiency, and reliability.
“As AI factories scale to unprecedented levels of power and density, enterprises require a converged approach to physical infrastructure that unifies power, cooling, and simulation using digital twins to reduce deployment risk,” said Vladimir Troy, vice president of AI Infrastructure at NVIDIA. “By integrating simulation-ready infrastructure models into the NVIDIA Vera Rubin DSX design, Vertiv is providing the repeatable building blocks and validated interfaces needed to accelerate the path from design to operation.”.
This collaborative design outcome, Vertiv™ OneCore Rubin DSX, is based on a converged physical infrastructure that Vertiv will continue to evolve for future generations of computing. It aims to support AI factory builders with parameterized infrastructure models and ready-to-deploy building blocks that encompass power, cooling, controls, and lifecycle services.
