Schneider Electric, the leader in the digital transformation of energy management and automation, has officially announced the launch of two now reference designs, each developed with NVIDIA to significantly accelerate time to deployment, while simultaneously empowering operators in their pursuit of adopting AI-ready infrastructure solutions.
According to certain reports, the first reference design brings forth industry’s first and only critical framework for integrated power management and liquid cooling control systems, including Motivair by Schneider Electric liquid cooling technologies. More on the same would reveal how this innovation can facilitate seamless management of complex AI infrastructure components.
The design in question also packs together interoperability with NVIDIA Mission Control, NVIDIA’s AI factory operations, and orchestration software, spanning cluster and workload management features.
Not just that, the underlying control systems reference design can even be utilized with Schneider Electric’s data centre reference designs for NVIDIA Grace Blackwell systems, thus enabling operators to stay abreast of latest advancements in accelerated computing.
Turning our attention towards the second reference design, it emphasizes upon the deployment of AI infrastructure for AI factories of up to 142 kW per rack, specifically NVIDIA GB300 NVL72 racks, and that too, in a single data hall. The stated design is deemed, at launch, as purpose-built to provide a framework for the next-generation NVIDIA Blackwell Ultra architecture.
.As for availability, it is currently available under configurations for both the American National Standards Institute (ANSI) and the International Electrotechnical Commission (IEC) standards.
“Schneider Electric is streamlining the process of designing, deploying, and operating advanced AI infrastructure with its new reference designs,” said Jim Simonelli, Senior Vice President and Chief Technology Officer at Schneider Electric. “Our latest reference designs, featuring integrated power management and liquid cooling controls, are future-ready, scalable, and co-engineered with NVIDIA for real-world applications, enabling data centre operators to keep pace with surging demand for AI.”
When placed together, Schneider Electric’s new designs can help operators incorporate next-generation power and liquid cooling controls infrastructure before the newest AI infrastructure solutions even make it to the market. Complementing that would be a facility to optimize cost, efficiency and reliability.
Hold on, we still have a few bits left to unpack, considering we haven’t yet touched upon how these designs are well-equipped to connect edge devices and facility controls for energy management and liquid cooling across NVIDIA GB300 NVL72 and NVIDIA GB200 NVL72 deployments banking upon NVIDIA Mission Control. You see, with a “plug-and-play” architecture based on the MQTT protocol, they can effectively bridge operational technology (OT) infrastructure and information technology (IT) systems, allowing operators to harness data from every single relevant layer.
We also haven’t touched upon how the new pair of designs further include Schneider Electric’s industry-leading ETAP and EcoStruxure IT Design CFD models, models that facilitate the simulation of specific power and cooling scenarios so to optimize designs on unique applications.
Schneider took this opportunity to introduce a total of nine AI reference designs for various scenarios including prefabricated modules, retrofit data centres, and AI infrastructure purpose-built for NVIDIA GB200 NVL72 and NVIDIA GB300 NVL72-based clusters.
“We are entering a new era of accelerated computing, where integrated intelligence across power, cooling and operations will redefine data centre architectures,” said Scott Wallace, Director of Data Centre Engineering at NVIDIA. “With its latest controls reference design, Schneider Electric connects critical infrastructure data with NVIDIA Mission Control, delivering a rigorously validated blueprint that enables AI factory digital twins and empowers operators to optimize advanced accelerated computing infrastructure.”
