By integrating Presight solutions into the ADNEC Centre Abu Dhabi, the partnership brings data-driven capabilities into the region’s largest event venue, setting a new benchmark for intelligent and sustainable venue management.
Schneider Electric has announced a series of major advancements in next-generation AI data center infrastructure in collaboration with NVIDIA and AVEVA during NVIDIA GTC. The developments focus on improving how AI data centers are designed, simulated, built, operated, and maintained, reinforcing the companies’ shared ambition to enable scalable, efficient AI infrastructure. These innovations form part of a broader strategy to support the rise of “AI factories” operating at gigawatt scale.
A key highlight is the introduction of a new reference design built for NVIDIA’s latest rack-scale architecture, NVIDIA Vera Rubin NVL72. This design validates critical power and cooling requirements, including support for 480 VAC power distribution and higher cooling system temperatures to improve efficiency. It also introduces a new IT room architecture that clusters AI racks with shared networking and storage while maintaining proximity for optimized performance. By supporting different GPU operating modes such as MaxP and MaxQ, the design enhances token generation efficiency, enabling more computing output per watt.
In parallel, AVEVA and NVIDIA unveiled a new lifecycle digital twin architecture integrated into the NVIDIA Omniverse ecosystem. This solution enables the creation of simulation-ready digital environments that replicate real-world data center operations. Using advanced modeling for power distribution, thermal dynamics, airflow, and controls, operators can test and optimize infrastructure before physical deployment. The integration of AVEVA’s software allows for multi-domain simulations, improving engineering accuracy, reducing deployment risks, and accelerating time-to-market for AI infrastructure projects.
Schneider Electric also revealed progress in applying agentic AI to data center operations through early testing of NVIDIA Nemotron models. This innovation targets alarm management, a longstanding challenge in data centers, by enabling AI systems to analyze real-time IoT data, identify root causes of issues, and recommend corrective actions autonomously. The technology is designed to work alongside human technicians, improving response times, reducing unnecessary interventions, and enhancing overall system resilience.
These announcements build on a longstanding collaboration between Schneider Electric and NVIDIA, which has included contributions to advanced data center operating systems, integration of electrical modeling tools into digital twin environments, and support for emerging high-voltage power architectures. Together, the companies are positioning themselves at the forefront of AI infrastructure innovation, combining power, cooling, and intelligent software systems to meet the growing demands of large-scale AI workloads while ensuring efficiency and sustainability.
