Schneider Electric And NVIDIA Launch AI-Ready Data Center Reference Designs

Schneider Electric, a global leader in energy management and automation, has unveiled new reference designs developed with NVIDIA to accelerate the deployment of AI-ready infrastructure and support operators in meeting the demands of next-generation data centers.

The first design introduces the industry’s only critical framework for integrated power management and liquid cooling control systems. Built with Motivair by Schneider Electric liquid cooling technologies, it enables seamless management of complex AI infrastructure. The system interoperates with NVIDIA Mission Control, NVIDIA’s AI factory operations and orchestration software, offering cluster and workload management capabilities. Operators can also use this design with Schneider Electric’s data center reference designs for NVIDIA Grace Blackwell systems, ensuring alignment with the latest accelerated computing technologies.

The second design addresses high-density AI clusters, supporting AI factories of up to 142 kW per rack — specifically NVIDIA GB300 NVL72 racks in a single data hall. Tailored for the NVIDIA Blackwell Ultra architecture, it provides guidance on facility power, cooling, IT space, and lifecycle software. Available under both ANSI and IEC standards, the blueprint ensures operators globally can integrate solutions regardless of regional compliance requirements.

Engineered for Speed and Scalability

As AI adoption accelerates, data center operators face challenges in scaling GPU-driven clusters. Schneider Electric’s validated and documented designs give operators the ability to implement future-ready power and cooling infrastructure even before the latest AI systems arrive. This not only optimizes cost, efficiency, and reliability but also enables faster deployment of advanced AI factories.

“Schneider Electric is streamlining the process of designing, deploying, and operating advanced AI infrastructure,” said Jim Simonelli, Senior Vice President and CTO at Schneider Electric. “Our latest designs are scalable, co-engineered with NVIDIA, and built for real-world applications — enabling operators to keep pace with surging AI demand.”

According to Scott Wallace, Director of Data Center Engineering at NVIDIA, the collaboration delivers “a rigorously validated blueprint that enables AI factory digital twins and empowers operators to optimize advanced accelerated computing infrastructure.”

‘Plug-and-Play’ Controls System

A key feature of the new framework is its plug-and-play architecture for power management and liquid cooling, bridging operational technology and IT systems. Based on the MQTT protocol, it provides operators with real-time data from every layer of the infrastructure. This ensures uptime, reliability, and precise performance management.

The system offers:

• A standardized interface publishing power and cooling data for AI management software, digital twins, and enterprise systems.

• Resilient architecture designed for redundancy across cooling and power distribution.

• New guidance for measuring AI rack power profiles, with focus on peak power and quality monitoring.

Supporting NVIDIA GB300 NVL72 Clusters

Schneider Electric’s reference design also optimizes deployment of NVIDIA GB300 NVL72-based clusters with densities up to 142 kW per rack, supporting systems such as the NVIDIA DGX SuperPOD. Using ETAP and EcoStruxure IT Design CFD models, operators can simulate power and cooling scenarios through digital twins, tailoring solutions to unique applications.

These new designs build on Schneider Electric’s ongoing collaboration with NVIDIA, which has already produced nine AI reference designs for various data center scenarios — from prefabricated modules to retrofits. By combining engineering expertise with NVIDIA’s accelerated computing platforms, Schneider Electric is helping operators prepare for the next generation of AI-driven infrastructure.

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