Gigawatt AI architecture benefit greatly from the Vertiv OneCore platform, which optimizes performance and space efficiency while reducing delivery timelines by up to 50% when compared to conventional building techniques.
In order to lower Time to First Token for generative AI at scale on platforms like NVIDIA Vera Rubin, Vertiv announced the release of their gigawatt-scale standard architectures for the NVIDIA Omniverse DSX Blueprint. Vertiv is playing a key role in facilitating the next wave of AI innovation as NVIDIA introduces its AI industrial Research Center in Virginia and the NVIDIA Omniverse DSX Blueprint for multi-generation, gigawatt AI infrastructure.
The the Vertiv reference architectures for the NVIDIA Omniverse DSX Blueprint go beyond a one-size-fits-all strategy by providing a wide range of deployment options, from fully prefabricated solutions to conventional stick-built and hybrid models, to satisfy a variety of customer demands for speed, flexibility, and scale.
With its library of SimReady 3D elements, Vertiv facilitates the integration of virtual and physical systems to further expedite the design process. This enables full-scale digital twin simulations of AI industrial concepts before to construction commencing.
The Vertiv OneCore platform, which sees the entire facility as a unified, co-designed system where computation, power, cooling, and services are holistically linked, is the foundation for the prefabricated version of the architecture. Gigawatt AI architecture benefit greatly from the Vertiv OneCore platform, which optimizes performance and space efficiency while reducing delivery timelines by up to 50% when compared to conventional building techniques.
The Vertiv reference architectures feature several key innovations:
- Optimized Power Topologies: Vertiv’s innovative “Grid-to-Chip” power train is engineered to improve upon the NVIDIA Omniverse DSX Blueprint, resulting in a system that is more efficient and occupies a smaller physical footprint. This approach provides the resilience and scalability needed for multi-generational AI platforms.
- Advanced Liquid Cooling Solutions: The architecture integrates Vertiv’s industry-leading liquid cooling systems, designed to manage the extreme thermal demands of accelerated computing. This advanced thermal solution, combined with a complete chip-to-heat reuse thermal chain, enables a closely matched design for advanced performance for current and future compute generations.
- Deployment Flexibility: Recognizing that every AI deployment is unique, the Vertiv reference architecture is the first to offer a validated design for stick-built, hybrid, and prefabricated deployment methodologies. This flexibility can reduce Time to First Token by up to 50% compared to traditional construction builds, allowing organizations to choose the best path for their specific goals.
The foundation for quickly deploying and running energy-efficient, highly available, and scalable AI factories is provided by this broad suite of architectures, which is supported by the industry’s most comprehensive power and cooling portfolio and enhanced by a global service organization of over 4,000 field engineers.
Using the Vertiv OneCore prefabricated design, which has been scaled to suit gigawatt-scale demands, Vertiv is actively involved in the design stages of multiple major AI manufacturing projects.
Leadership Comments
“The AI industrial revolution requires a complete reinvention of data center infrastructure. Vertiv’s collaboration with NVIDIA is foundational to our mission of equipping our customers with the most advanced and flexible solutions to navigate this transformation,” said Scott Armul, executive vice president global portfolio and business units at Vertiv. “The Vertiv reference architecture for NVIDIA Omniverse DSX is more than just a blueprint; it’s a holistic approach that accelerates the deployment of AI at a scale previously unimaginable. Through our comprehensive grid-to-chip solutions and flexible deployment models like the Vertiv™ OneCore platform, combined with the power of digital twins within the NVIDIA Omniverse libraries, we are enabling the factories of the future, today.”
“Efficient, high-performance AI infrastructure is essential to the next industrial revolution—and building it requires a robust ecosystem of partners,” said Dion Harris, senior director of HPC, Cloud, and Infrastructure Solutions at NVIDIA. “NVIDIA and Vertiv are collaborating to develop flexible, rapidly-deployable reference architectures that deliver the critical power and cooling foundation needed to scale the next generation of gigawatt-class AI factories.”
