Schneider Electric (Korea Country Manager Ji-Woong Kwon), a global company in the field of energy management and automation, participated in 'GTC 2026' hosted by NVIDIA and unveiled technologies related to the design and operation of next-generation AI data center infrastructure.
GTC is a highly influential global event in the field of artificial intelligence, serving as a platform for companies and industry leaders from around the world to share the current status and future direction of the AI industry. Schneider Electric participated as a Diamond Sponsor and emphasized its technological leadership in AI infrastructure through an official session presentation.
Natasha Nelson, CTO of Services and Vice President of EcoStruxure Power at Schneider Electric USA, participated as a panelist in the 'How to Build Planetary-Scale AI Infrastructure' session to share design and integrated operation strategies for enhancing the efficiency and sustainability of gigawatt-scale AI data centers. Subsequently, on the 18th, during the 'Designing and Operating an Energy-Efficient AI Factory' keynote, she introduced strategies for operating an AI factory utilizing high-performance computing and agentic AI.
At the event, reference designs for the NVIDIA Vera Rubin NVL72 rack, digital twin technology based on Omniverse DSX, and initial tests of AI-based data center alarm management utilizing the Nemotron open model were also unveiled. These designs are integrated with Schneider Electric's control systems to reflect the infrastructure requirements of NVIDIA's latest rack-scale systems.
In addition, AVEVA, an industrial software company acquired by Schneider Electric, collaborated with NVIDIA to announce a digital twin-based lifecycle architecture for gigawatt-scale AI factories. This enables the maximization of GPU efficiency, accelerated deployment of large-scale AI factories, and design optimization. AVEVA software supports the deployment of digital twins and SimReady assets available in the Omniverse environment.
Manish Kumar, Executive Vice President of Schneider Electric’s Secure Power & Data Center business unit, emphasized, “Building AI infrastructure requires the integration of power, cooling, and digital architecture to satisfy both energy efficiency and performance,” adding, “Combining digital twins with proven reference designs enables infrastructure simulation and optimization.”
“Gigawatt-scale AI factories require high efficiency and predictability, and we are working with Schneider Electric to help customers build AI infrastructure faster,” said Vladimir Troy, Vice President of AI Infrastructure at NVIDIA.
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