NVIDIA Unveils Data Center Design Blueprint
Omniverse DSX Advances "Co-Design" Approach to Gigascale AI Factories
WASHINGTON, D.C. – In a bold move to accelerate the deployment of AI infrastructure, NVIDIA has unveiled a digital blueprint for AI data centers, with many of the industry’s leading builders and vendors aligning behind the initiative.
The NVIDIA Omniverse DSX platform employs digital twins to optimize AI factories from the chip to the grid, using a “co-design” approach to seamlessly orchestrate physical and digital assets.
The ambitious effort, announced Tuesday at the NVIDIA GTC DC conference, aims to slash the cost and time of deploying AI factories at industrial scale, which could reach 1 gigawatt of capacity.
But DSX also holds the potential to address two huge challenges in AI infrastructure:
Integrating the design of the data center building with the hardware and software inside it, using AI simulation and 3D modeling to create intelligent facilities that continuously optimize for performance and energy efficiency.
Embracing modularity to future-proof AI facilities, enabling “multi-generation” data centers to support accelerated AI upgrade cycles.
NVIDIA founder and CEO Jensen Huang hopes to bring together U.S. technology leaders to scale AI capacity.
“We are at the dawn of the AI industrial revolution that will define the future of every industry and nation,” said Huang. “Together with our partners, we are building the most advanced AI infrastructure ever created, ensuring that America has the foundation for a prosperous future.”
Broad Ecosystem Support
The DSX rollout drew support from a wide array of data center software and equipment providers, spanning nearly all aspects of construction and operations.
Among them is Digital Realty, which will house a new NVIDIA AI Factory Research Center at its campus in Manassas, Virginia where Omniverse DSX concepts can be tested and validated in a real-world data center.
“This isn’t just about building bigger data centers: it’s about creating a new category of infrastructure - AI factories - designed specifically for the unique requirements of large-scale AI workloads,” said Chris Sharp, the Chief Technology Officer of Digital Realty.
Digital was among more than 20 companies participating in the blueprint effort, across a breadth of specialties:
Engineering and construction: Bechtel and Jacobs are working with NVIDIA to integrate advanced digital twins into validated designs across architectural, power, mechanical and electrical systems.
Power and cooling: Vertiv, Schneider Electric, Eaton, GE Vernova, Hitachi, Mitsubishi Electric, Siemens, Siemens Energy, Tesla, and Trane Technologies are contributing to the center.
Software and agentic AI: Cadence, Emerald AI, Phaidra, PTC, Schneider Electric ETAP, and Switch have built digital twin solutions to model and optimize AI factory lifecycles, from design to operation.
Data Center Developers: Huang highlighted projects from Switch and the Crusoe/Oracle Stargate campus in Texas.
The breadth of support for the Omniverse DSX blueprint reflects the incredible momentum and market leadership of NVIDIA. In his keynote at GTC, Huang said that NVIDIA has visibility into “half a trillion” ($500 billion) in cumulative Blackwell and Vera Rubin revenue through calendar year 2026.
But it’s also a sign of the growing disconnect between the timelines for AI innovation and data center construction. With the largest AI customers facing capacity constraints, the entire data center industry is feeling the pressure to deliver projects ASAP and optimize the dickens out of power and cooling.
