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Simulation-ready power and cooling assets aim to slash deployment time, reduce complexity, and optimise performance as AI scales to gigawatt levels.
Vertiv (NYSE: VRT), a global leader in critical digital infrastructure, has announced its role in advancing converged physical infrastructure designs for the NVIDIA Vera Rubin DSX AI factory reference design and the NVIDIA Omniverse DSX Blueprint. The collaboration addresses the mounting challenges of density, power demand, and deployment complexity as AI factories scale to unprecedented sizes.
RELATED: Vertiv unveils Digital Twin platform to accelerate AI factory deployment, cuts time-to-token by 50%
By contributing simulation-ready digital power and cooling assets, validated interfaces, and repeatable infrastructure building blocks, Vertiv aims to help operators compress time to deployment, improve infrastructure utilisation, and reduce integration risk—turning complex AI infrastructure from fragmented products into cohesive, system-level solutions.
The AI Factory Challenge: Density, Complexity, and Speed
As AI workloads explode in scale, traditional infrastructure approaches are buckling under pressure. AI factories now face:
- Rapidly increasing power and cooling demands
- Escalating deployment complexity
- Urgent need for faster time to capacity
- Growing risk of integration failures
Vertiv’s new approach addresses these challenges through a converged physical infrastructure model—a system-level framework that integrates power, cooling, controls, and services into interdependent designs optimised across the full power train and thermal chain.
Five Foundational Elements Enabling Scalable AI Execution
Vertiv’s converged infrastructure approach rests on five core pillars:
| Element | Function |
|---|---|
| Repeatable Building Blocks | Standardised 12.5MW infrastructure blocks that can scale from smaller clusters to gigawatt facilities |
| Defined Interfaces | Validated connection points ensuring seamless integration across domains |
| System Orchestration | Coordinated control across power, cooling, and thermal management |
| Digital Continuity | Simulation-ready digital models enabling virtual validation before physical deployment |
| Lifecycle Support | End-to-end services from design through operations |
Together, these elements reduce design complexity, strengthen cross-domain coordination, and improve confidence from initial planning through deployment and operation.
Vertiv OneCore: Scalable Building Blocks for AI’s Future
At the heart of this approach is Vertiv™ OneCore, an integrated modular solution built around standardised 12.5MW infrastructure blocks. These repeatable blocks can be combined, configured, and extended to support:
- Smaller AI clusters for edge or enterprise deployments
- Large-scale AI factories reaching gigawatt capacity
- Hyperscale, colocation, and emerging AI environments
By establishing consistent block-level designs with validated interfaces, Vertiv simplifies scaling while improving deployment consistency, system coordination, and operational performance across multiple compute generations.
Simulation-Ready Infrastructure: Validate Before You Build
A key innovation in the Vertiv-NVIDIA collaboration is the integration of simulation-ready digital assets—referred to as DSX SimReady—into AI factory design. Using real-time simulation and system-level modelling, operators can:
- Reduce deployment complexity and field integration risk
- Accelerate time to operational readiness
- Improve infrastructure coordination across power, cooling, and controls
- Optimise performance from grid connection through chip-level thermal management and heat-reuse pathways
This digital continuity enables customers to validate infrastructure designs before breaking ground, dramatically reducing costly field corrections and deployment delays.
AI factories forcing fundamental change in digital infrastructure design
“AI factories are forcing a fundamental change in how digital infrastructure is designed, validated, and deployed. Vertiv’s role is to help turn complex AI infrastructure from a collection of separate products into converged, simulation-ready physical systems. Working with NVIDIA, we are helping customers move faster from design to deployment. By combining our power and cooling portfolio with validated interfaces and digital models, we can help customers accelerate development, improve operational confidence, and unlock better output per watt,” said Scott Armul, Chief Product and Technology Officer at Vertiv.
Vertiv OneCore Rubin DSX: Designed for Multiple Generations
“As AI factories scale to unprecedented levels of power and density, enterprises require a converged approach to physical infrastructure that unifies power, cooling, and digital twin simulation to reduce deployment risk. By integrating simulation-ready infrastructure models into the NVIDIA Vera Rubin DSX design, Vertiv is providing the repeatable building blocks and validated interfaces necessary to accelerate the path from design to operational readiness,” said Vladimir Troy, Vice President of AI Infrastructure at NVIDIA.
The collaborative output, Vertiv™ OneCore Rubin DSX, is a design outcome grounded in converged physical infrastructure principles. Vertiv will continue to iterate this solution for multiple compute generations ahead, supporting AI factory builders with:
- Parameterised infrastructure models for digital validation
- Deployment-ready building blocks spanning power, cooling, controls, and lifecycle services
- Scalable solutions adaptable to hyperscale, colocation, enterprise, and emerging AI environments
A Complete Portfolio, Seamlessly Integrated
Vertiv’s contribution is grounded in one of the industry’s most complete portfolios of critical power, thermal management, integrated controls, and lifecycle services. Unlike conventional modular or prefabricated approaches that primarily compress schedules, converged physical infrastructure delivers both deployment speed and compounding system-level gains:
- Deployment speed through standardised, pre-validated blocks
- System-level gains via optimised coordination across all infrastructure domains
- Future readiness through designs iterated for multiple compute generations
Looking Ahead: Shaping AI Infrastructure for the Next Decade
As AI workloads continue their exponential growth, the partnership between Vertiv and NVIDIA sets a new standard for AI factory infrastructure. By combining simulation-ready digital models, validated interfaces, and repeatable building blocks, Vertiv is helping operators navigate the complexity of gigawatt-scale AI deployments with confidence.
This work will inform future converged infrastructure offerings across hyperscale, colocation, enterprise, and emerging AI deployment environments—ensuring that as AI scales, the infrastructure beneath it scales intelligently, efficiently, and reliably.
