Schneider Electric teams with NVIDIA to develop validated blueprints to design, simulate, build, operate and maintain gigawatt-scale AI Factories
MWN-AI** Summary
Schneider Electric, in partnership with NVIDIA and its subsidiary AVEVA, has announced groundbreaking advancements for developing gigawatt-scale AI factories. This collaboration highlights the integration of NVIDIA's Vera Rubin reference design, which sets a validated roadmap for power and cooling requirements tailored for NVIDIA's latest rack-scale systems. This design advances operational efficiency by allowing increased supply voltage and optimizing distribution, ultimately maximizing performance per watt through innovative configurations like the MaxQ operating point.
The AI factories' infrastructure also incorporates AVEVA's lifecycle digital twin architecture, enhancing GPU efficiency and expediting deployment through the NVIDIA Omniverse. This collaboration facilitates thorough digital simulations across varying scenarios, thereby ensuring optimized designs and minimized engineering cycles before physical construction begins. The result is a robust framework that anticipates and meets the demanding needs of AI workloads.
Additionally, Schneider Electric has tested the NVIDIA Nemotron model to enhance alarm management systems, utilizing real-time IoT data to autonomously analyze and resolve issues more effectively. This capability demonstrates a vital evolution in how data centers can operate with improved resilience and reduced response times.
“Our commitment to redefining asset performance management through cutting-edge AI innovation remains firm," stated Manish Kumar of Schneider Electric. He emphasized the importance of tightly integrating electrical and cooling infrastructures to support the intensive performance requirements of contemporary AI applications.
Overall, the synergy between Schneider Electric and NVIDIA underlines a dynamic shift towards highly efficient, scalable AI factory infrastructures, promising significant advancements in how industries leverage AI technologies in data center operations. This collaboration positions both companies at the forefront of sustainable and agile AI infrastructure solutions.
MWN-AI** Analysis
In light of the recent collaboration between Schneider Electric, NVIDIA, and AVEVA to advance gigawatt-scale AI factories, investors should consider the strategic implications of this partnership on the market landscape for energy and AI infrastructure.
The announced NVIDIA Vera Rubin reference design represents a crucial step in optimizing power and cooling systems for next-generation data centers. By validating advanced power distribution methods and enhancing cooling efficiency, this initiative reinforces Schneider Electric’s capacity to meet the scaling demands of AI workloads. The integration of NVIDIA's Nemotron agentic AI model into alarm management processes is another feather in the cap, as it promises improved operational efficiency and reduced downtime. This presents opportunities for both companies to capture significant market share as demand for energy-efficient AI solutions rises.
Investors should evaluate Schneider Electric’s stock as it is likely to benefit from accelerated deployment cycles and a reduction in engineering risks due to these validated reference designs and digital twin technologies. The collaboration positions Schneider as a leader in the evolving market for AI-driven infrastructure, which is projected to grow substantially.
Moreover, companies leveraging this innovative infrastructure will likely achieve better token performance, enhancing their competitive edge in the AI realm. This ability to support high-density AI workload demands positions Schneider Electric and NVIDIA favorably against competitors in both sectors.
Looking ahead, investors should closely monitor advancements in digital twin technologies and energy-efficient designs as they develop. Participation in the Alliance for OpenUSD indicates a forward-thinking approach, enhancing interoperability and driving competitive advantage. In summary, Schneider Electric's strategic alignment with NVIDIA and AVEVA could pave the way for sustained growth, making it a compelling option for investors focused on the future of energy technology and AI infrastructures.
**MWN-AI Summary and Analysis is based on asking OpenAI to summarize and analyze this news release.
SAN JOSE, March 16, 2026 (GLOBE NEWSWIRE) --
- New NVIDIA Vera Rubin reference design, co-developed with NVIDIA, provides validated roadmap for powering and cooling latest NVIDIA rack-scale systems
- AVEVA, the industrial software company owned by Schneider Electric, and NVIDIA develop lifecycle digital twin architecture in NVIDIA Omniverse for large-scale AI factories to maximize token revenue per megawatt
- Schneider Electric testing of NVIDIA Nemotron model for agentic AI marks important step toward the next generation of autonomous, software?defined operations
(NVIDIA GTC 2026) -- Schneider Electric, a global energy technology leader, in collaboration with NVIDIA and industrial software leader AVEVA, has today announced key advancements in designing, simulating, building, operating and maintaining the next generation of AI data center infrastructure during NVIDIA GTC in San Jose. They include a new NVIDIA Vera Rubin reference design that validates power and cooling for the latest NVIDIA rack-scale architectures, integration of advanced digital twin capabilities within the NVIDIA Omniverse DSX Blueprint and ecosystem, and early testing of agentic AI for data center alarm management services using NVIDIA Nemotron open models.
The company’s announcements further strengthen Schneider Electric and NVIDIA’s existing collaboration and establish a comprehensive foundation for developing AI Factories built for gigawatt-scale and efficiency.
New NVIDIA Vera Rubin Reference Design
The newly unveiled AI reference design is one of the first created for the NVIDIA Vera Rubin NVL72 racks. The validated reference design covers power and cooling and is integrated with Schneider Electric’s controls reference designs. Importantly, the design addresses important infrastructure requirements and considerations for NVIDIA's latest rack-scale systems:
- Enables new power distribution with increased supply voltage of 480 VAC
- Allows higher TCS loop supply temperature of 45°C for enhanced efficiency
- Supports new IT room architecture with clusters of AI racks sharing centralized networking, storage, CPU, and support racks. This allows every NVIDIA rack-scale system to remain physically close together while allowing separate, higher voltage for the GPU racks to enable larger clusters and optimize power delivery
- Maximizes token performance by designing data centers to accommodate various operating points of GPU racks (both MaxP and MaxQ). Operating at MaxQ can achieve more tokens per watt to override any power constraints and optimize computing performance through redundancy. Overall, the reference design enables more tokens per watt when incorporating NVIDIA’s MaxQ operating point.
The reference design is validated with ETAP models for electrical system design and ITD CFD models for layout and air flow.
New AVEVA Lifecycle Digital Twin Architecture for Gigawatt-Scale AI Factories
Additionally, AVEVA, a global leader in industrial software owned by Schneider Electric, together with NVIDIA, has announced a new lifecycle digital twin architecture that maximizes GPU efficiency and accelerates the deployment of AI factories at speed and scale. Schneider Electric is committed to creating SimReady assets and digital twins through NVIDIA Omniverse, supported by AVEVA’s advanced software. With this announcement, AVEVA’s engineering and operations software is now embedded throughout the NVIDIA Omniverse DSX Blueprint and ecosystem. It is projected to accelerate time-to-token through domain-specific simulations, digital visualization and collaborative design tools that will drive significant engineering optimization.
After a system architecture is assembled in the NVIDIA Omniverse environment, AVEVA executes multi-domain simulations to validate operational behavior under realistic conditions. This includes computational models for power distribution, thermal dynamics, airflow performance and controls. These simulations enable iterative design optimization, rapid evaluation of multiple scenarios across a wide range of load and environmental conditions, and final system verification prior to building the physical environment. The result is a fully validated, performance-optimized design that reduces engineering cycles and improves deployment accuracy.
“As AI workloads scale in both size and complexity, the margin for error in data center design becomes incredibly small,” said Manish Kumar, Executive Vice President, Secure Power & Data Centers at Schneider Electric. “Delivering AI at scale requires tightly integrated electrical, cooling and digital architectures that can support both unprecedented performance demands while maintaining peak energy efficiency. By combining advanced software, digital twins and validated reference designs, operators can simulate and optimize infrastructure before a single rack is deployed. This approach reduces risk, accelerates deployment and ensures the efficiency and resilience needed to power the next generation of AI factories.”
“Gigawatt-scale AI factories demand a fundamentally new class of energy-efficient and highly predictable infrastructure,” said Vladimir Troy, vice president of AI infrastructure at NVIDIA. “Together, NVIDIA and Schneider Electric are providing the power, cooling, and digital twin architectures needed to accelerate time-to-token for our customers worldwide.”
NVIDIA Nemotron Agentic AI Model Testing for Alarm Management Services
Schneider Electric also announced during the event that it has successfully tested the NVIDIA Nemotron model to power a new agentic AI alarm management capability. This service's advancement addresses a longstanding challenge in the data center industry: interpreting alarms at a system level to identify root causes and determine the appropriate corrective actions. Leveraging real-time streaming IoT data across multiple systems, Schneider Electric’s agentic AI autonomously analyses, diagnoses, and recommends actions using a suite of integrated tools. Working alongside expert technicians, the technology delivers faster and more consistent issue resolution, reduces unnecessary dispatches, and enhances operational resilience. This milestone reinforces Schneider Electric’s commitment to redefine asset performance management through cutting-edge AI innovation.
These latest announcements build on a legacy of innovation between Schneider Electric and NVIDIA:
- In partnership with Switch and NVIDIA, Schneider Electric has lent its expertise to Switch’s LDC EVO™ operating system. When used in tandem with NVIDIA Omniverse libraries and OpenUSD, Switch’s LDC EVO platform presents the automation of every system in Switch’s data center facilities in real-time, allowing the company to view and monitor thermal modeling, electrical simulation, reality capture, construction lifecycle management and more.
- ETAP integrated its industry leading electrical modeling into NVIDIA Omniverse, creating a unified digital?twin environment for rapid design and validation of complex power systems. This enables grid operators and data center owners to scale rapidly and safely, without compromising system stability.
- In November 2025, Schneider Electric, along with ETAP and AVEVA, announced their membership to the Alliance for OpenUSD, showing dedication to aligning with NVIDIA Omniverse to shape the future of interoperable digital twins and simulation-ready (SimReady) 3D assets.
- In October 2025, Schneider Electric announced its support of the NVIDIA-led industry transition to 800 VDC power architectures, which are a critical requirement for emerging high-density rack systems being adopted across next-generation data centers.
- In September 2025, Schneider Electric announced new reference design supporting NVIDIA Mission Control and NVIDIA GB300 NVL72, that 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.
Press contact: global.pr@se.com
About Schneider Electric
Schneider Electric is a global energy technology leader, driving efficiency and sustainability by electrifying, automating, and digitalizing industries, businesses, and homes. Its technologies enable buildings, data centers, factories, infrastructure, and grids to operate as open, interconnected ecosystems, enhancing performance, resilience, and sustainability. The portfolio includes intelligent devices, software-defined architectures, AI-powered systems, digital services, and expert advisory. With 160,000 employees and 1 million partners in over 100 countries, Schneider Electric is consistently ranked among the world’s most sustainable companies.
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A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/0eb32f80-7c3c-4596-a5ea-6abebda947fe
FAQ**
How does the new NVIDIA Vera Rubin reference design influence the partnership between NVIDIA and Schneider Electric SE ADR SBGSY in optimizing power and cooling for advanced rack-scale systems?
What are the expected operational efficiency gains for AI factories as a result of the lifecycle digital twin architecture co-developed by AVEVA and Schneider Electric SE ADR SBGSY using NVIDIA Omniverse?
In what ways does the testing of the NVIDIA Nemotron model enhance alarm management capabilities for data centers, and how does Schneider Electric SE ADR SBGSY plan to implement these advancements in its operations?
How do the latest innovations announced by Schneider Electric SE ADR SBGSY and NVIDIA address the challenges of energy efficiency and complexity in designing gigawatt-scale AI infrastructures?
**MWN-AI FAQ is based on asking OpenAI questions about Schneider Electric SE ADR (OTC: SBGSY).
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