The compute requirements for AI reasoning and other inference workloads is outpacing traditional data center designs, creating an urgent need for high-density power and advanced cooling. Schneider Electric is collaborating on the newly announced NVIDIA Omniverse DSX Blueprint for multi generation, gigawatt scale build outs, using NVIDIA Omniverse libraries and SDKs that will set a new standard of excellence for AI infrastructure. As the world’s leading solution provider for power distribution and liquid cooling solutions for data centers and AI factories, Schneider Electric is working with NVIDIA and other ecosystem partners at the AI Factory Research Center in Virginia to form a pathway to develop next generation AI-ready infrastructure faster, with greater efficiency and performance.
These are the most recent highlights of Schneider Electric’s innovation and capability commitments to the partnership:
Earlier this year, Schneider Electric shared plans to invest more than $700 million in its U.S. operations through 2027. These planned investments are intended to support national efforts to strengthen energy infrastructure in response to growing demand across data centers, utilities, manufacturing, and energy sectors—particularly as AI adoption accelerates. Building on investments made in 2023 and 2024 to reinforce its North American supply chain, the initiative includes potential manufacturing expansions and workforce development. These efforts reflect strong customer demand for solutions that improve energy efficiency, scale industrial automation, and enhance grid reliability.
Together, these plans are designed to enable innovation—especially through new reference designs developed in collaboration with NVIDIA and the integration of Schneider Electric’s digital twin ecosystem.
Reference designs
In September, Schneider Electric announced new reference designs developed with NVIDIA that significantly accelerate time to deployment and aid operators as they adopt AI-ready infrastructure solutions.
The first reference design delivers one of the industry’s first and only critical framework for integrated power management and liquid cooling control systems, including Motivair by Schneider Electric liquid cooling technologies, and enables seamless management of complex AI infrastructure components. It includes interoperability with NVIDIA Mission Control—NVIDIA AI factory operations and orchestration software, including cluster and workload management features. The control systems reference design can also be utilized with Schneider Electric’s data center reference designs for NVIDIA Grace Blackwell systems, enabling operators to keep pace with the latest advancements in accelerated computing, with seamless control of their power and liquid cooling systems.
The second reference design focuses on the deployment of AI infrastructure for AI factories of up to 142 kW per rack, specifically the NVIDIA GB300 NVL72 racks, in a single data hall. Created to provide a framework for the next-generation NVIDIA Blackwell Ultra architecture, the reference design includes information on four technical areas: facility power, facility cooling, IT space, and lifecycle software. The design is available under configurations for both the American National Standards Institute (ANSI) and the International Electrotechnical Commission (IEC) standards.
Digital twins
Leveraging the NVIDIA Omniverse Blueprint for AI factory digital twins, Schneider Electric and ETAP enable the development of digital twins that bring together multiple inputs for mechanical, thermal, networking, and electrical systems to simulate how an AI Factory operates. The collaboration is set to transform AI factory design and operations by providing enhanced insight and control over the electrical systems and power requirements, presenting an opportunity for significant efficiency, and reliability.
Schneider Electric has built on this virtual modeling capability by also enabling enterprises of the future to optimize the electrical infrastructure that supports top-tier accelerated compute environments.
Collaboration between ETAP and NVIDIA introduces an innovative “Grid to Chip” approach that addresses the critical challenges of power management, performance optimization, and energy efficiency in the era of AI. Currently, data center operators can estimate average power consumption at the rack level, but ETAP’s new digital twin aims to increase precision on modeling dynamic load behavior at the chip level to improve power system design and optimize energy efficiency.
This collaborative effort highlights the commitment of both ETAP and NVIDIA to drive innovation in the data center sector, empowering businesses to optimize their operations and effectively manage the challenges associated with AI workloads. The collaboration aims to enhance data center efficiency while also improving grid reliability and performance.
AI infrastructure doesn’t stop here
These innovations underscore Schneider Electric’s commitment to unlocking the future of AI by pairing its data center expertise with NVIDIA accelerated platforms. Together we’re helping customers overcome infrastructure limits and scale efficiently and at speed.
The progression of advanced, future-forward AI infrastructure doesn’t stop here. Join Schneider Electric with NVIDIA at Innovation Summit North America in November to experience how we’re shaping the future of AI-ready infrastructure.
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