- Industry-first
AI infrastructure reference design with controls provides a seamless OT/IT
interoperability with NVIDIA Mission Control and enterprise applications. - New
NVIDIA GB300 NVL72 power and cooling reference design, co- engineered with
NVIDIA supports deployment of next-generation Blackwell GPUs. - Both
new reference designs enable data center operators to accelerate the
deployment of AI infrastructure for AI factories, anywhere.
Rueil-Malmaison, France, 1st October
2025, 2025 : Schneider Electric, the leader in the
digital transformation of energy management and automation, today 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 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’s 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 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.
The first controls 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, while having seamless control of their
power and liquid cooling systems.
Engineered to Move at Pace
As AI advances, today’s data center operators rely on
reference design frameworks to overcome the speed and deployment challenges of
high-density, GPU-accelerated AI clusters. By providing validated, proven, and
documented data center physical infrastructure designs, Schneider Electric
enables operators globally to design and incorporate next-generation power and
liquid cooling controls infrastructure before the newest AI infrastructure
solutions even arrive, while optimizing for cost, efficiency, and reliability.
Schneider Electric’s fully engineered reference designs are laying the
foundation for the latest AI factories, empowering data center operators to not
only meet the moment but to be ready before it even happens.
“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 center operators to keep pace with surging demand
for AI.”
“We are entering a new era of accelerated computing,
where integrated intelligence across power, cooling and operations will
redefine data center architectures,” said Scott Wallace, Director of Data Center
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.”
‘Plug-And-Play’ End-To-End Controls System
The groundbreaking controls reference design connects
edge devices and facility controls for energy management and liquid cooling
across NVIDIA GB300 NVL72 and NVIDIA GB200 NVL72 deployments leveraging NVIDIA
Mission Control. Using a “plug-and-play” architecture based on the MQTT
protocol, it bridges operational technology (OT) infrastructure and information
technology (IT) systems, allowing operators to, for the first time, harness
data from every layer to optimize performance.
With a focus on seamless interoperability between
building and AI infrastructure management software, the controls reference
design establishes redundant systems for power and cooling, and introduces new
guidance for measuring AI rack power profiles. Ultimately, it ensures the
highest standards of uptime, reliability and peak performance for AI
deployments by enabling precise, real-time management of critical power and cooling
resources.
The result is an end-to-end controls system that
offers:
- A
standardized format interface publishing power management and liquid
cooling controls data for consumption by local applications and upstream
data consumers and tools, including AI infrastructure management software,
digital twins, AI/ML and other enterprise systems.
- The
controls architecture is designed to manage redundancy across cooling and
power distribution infrastructure, including coolant distribution units
(CDUs) and remote power panels (RPPs), ensuring resiliency in both white
and grey space environments.
- New
guidance for measuring AI rack power profiles, with a focus on rack peak
power and power quality monitoring.
NVIDIA GB300 NVL72 Reference Design for
High-Density AI Clusters
Schneider Electric’s reference design for NVIDIA GB300
NVL72 supports the deployment of NVIDIA GB300 NVL72- based clusters with a
maximum rack density of 142kW, such as NVIDIA DGX SuperPOD with DGX GB300
systems. The data hall is purpose-built and optimized to host three NVIDIA
GB300 NVL72- based clusters powered by up to 1,152 GPUs using liquid-to-liquid
CDUs and high temperature chillers.
The reference design also includes Schneider
Electric’s industry-leading ETAP and EcoStruxure IT Design CFD models, allowing
users to leverage digital twins to simulate specific power and cooling
scenarios to optimize designs on unique applications. It builds upon a previous
blueprint for the NVIDIA GB200
NVL72 as Schneider Electric continues to collaborate with NVIDIA to provide
fully engineered, tested models in anticipation of the new NVIDIA GB300 NVL72
platform.
The reference designs announced today continue
Schneider Electric’s long-established collaboration with NVIDIA to meet the
data center industry’s most pressing AI demands. In addition to these new
reference designs, Schneider Electric has developed nine AI reference designs
for various scenarios including prefabricated
modules, retrofit data centers, and AI infrastructure purpose built for NVIDIA GB200
NVL72 and NVIDIA GB300 NVL72-based clusters.
Schneider Electric also applies comprehensive,
real-world engineering on each of its reference designs
- demonstrating
a continuous commitment to developing the industry’s most advanced, energy
efficient and resilient, high performance data center architectures. For
more information about its reference designs co-engineered with
NVIDIA, visit
the website.
Related resources:
- AI Reference
Designs to Enable Adoption: A Collaboration Between Schneider Electric and NVIDIA |
Schneider Electric - Schneider
Electric Announces New Solutions to Address the Energy and Sustainability Challenges
Spurred by AI
About Schneider Electric
Schneider’s purpose is to create Impact by
empowering all to make the most of our energy and resources,
bridging progress and sustainability for all. At Schneider, we call this Life
Is On.
Our mission is to be the trusted partner in Sustainability
and Efficiency.
We are a global industrial technology
leader bringing world-leading expertise in electrification,
automation and digitalization to smart industries, resilient infrastructure,
future-proof data centers, intelligent buildings, and
intuitive homes. Anchored by our deep domain expertise, we provide
integrated end-to-end lifecycle AI enabled Industrial IoT solutions with
connected products, automation, software and services, delivering digital twins
to enable profitable growth for our customers.
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ecosystem of 160,000 colleagues and more than a million partners operating in
over 100 countries to ensure proximity to our customers and stakeholders.
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