Schneider Electric and NVIDIA Unveil Blueprint for AI Data Center Infrastructure

Participation in GTC 2026
Showcasing Technological Capabilities for Gigawatt-Scale AI Infrastructure

On March 18, Schneider Electric participated in 'GTC 2026', an event hosted by NVIDIA, where it announced major technological advancements related to the design, simulation, construction, operation, and maintenance of next-generation artificial intelligence (AI) data center infrastructure.

GTC, NVIDIA's flagship annual event, is one of the world's most influential conferences in the AI field. Each year, innovators, enterprise customers, and industry leaders from around the globe gather to discuss the current state and future of the global AI industry.

This year, Schneider Electric participated as a Diamond-level sponsor and also took the stage as an official session speaker, once again emphasizing its leadership in the AI infrastructure sector on the global stage.

Natasha Nelson, CTO of Services and Vice President of the EcoStruxure Power Division at Schneider Electric USA, discussed strategies to enhance the efficiency and sustainability of gigawatt-scale AI infrastructure through simulation, digital twins, and integrated design of power, cooling, building, and computing systems. At the keynote session on March 18, she is scheduled to introduce strategies for securing efficiency and scalability in AI factories using high-performance computing and agentic AI.

The event also featured the release of new reference designs, including the new Vera Rubin reference design for the latest NVIDIA rack-scale architecture. This design, which includes power and cooling infrastructure, is integrated with Schneider Electric's control system reference design. In particular, it reflects the key infrastructure requirements for NVIDIA’s latest rack-scale systems.

In addition, AVEVA, the industrial software company acquired by Schneider Electric, announced a new lifecycle digital twin architecture for gigawatt-scale AI factories in collaboration with NVIDIA. This architecture is designed to maximize GPU efficiency and support the faster and more efficient construction of large-scale AI factories.

Through this announcement, AVEVA’s engineering and operations software, based on the NVIDIA Omniverse DSX blueprint, now enables design optimization through industry-specific simulation, digital visualization, and collaborative design tools. This is expected to contribute to accelerating the construction of AI infrastructure.

Manish Kumar, Executive Vice President of Schneider Electric's Data Center Business Division, stated, “To realize large-scale AI services, infrastructure must not only tightly integrate power, cooling, and digital architecture but also meet high performance requirements and energy efficiency. By combining advanced software, digital twins, and proven reference designs, it is possible to simulate and optimize infrastructure in advance, ensuring efficiency and resilience for next-generation AI factories.”

Vladimir Troy, Vice President of NVIDIA's AI Infrastructure Division, said, “Gigawatt-scale AI factories require a new level of infrastructure that combines energy efficiency with high predictability. By integrating power, cooling, and digital twin architectures, NVIDIA and Schneider Electric are enabling customers worldwide to build AI infrastructure more quickly and increase token production speeds.”

This content was produced with the assistance of AI translation services.