Schneider Electric, a global leader in energy management and automation, and ETAP, a power system design specialist, have unveiled an AI factory power simulation digital twin that can accurately simulate power requirements, and it is expected that AI data centers will be able to simultaneously achieve sustainability and cost savings through power usage pattern analysis, predictive maintenance, and energy efficiency optimization.

Schneider, in collaboration with eTap, has unveiled the world’s first digital twin that can accurately simulate the power requirements of an AI factory.

This digital twin is based on an AI factory blueprint utilizing NVIDIA Omniverse™ technology, and implements sophisticated operational simulation by integrating various elements such as power systems, machinery, thermodynamics, and networks.

The digital twin developed through this collaboration goes beyond existing power system visualization and utilizes real-time data and advanced analysis technologies to provide functions such as △advanced power system design and simulation, △virtual scenario analysis based on real-time data, △power infrastructure performance monitoring and predictive maintenance, and △usage analysis for energy efficiency optimization and cost reduction.

It presents an innovative approach that helps AI factories go beyond traditional power management schemes to maximize power efficiency, reliability, and sustainability.

With the advancement of AI technology rapidly increasing the power consumption of data centers, Schneider has introduced a ‘Grid to Chip’ approach.

This technology precisely models dynamic loads at the chip level, enabling optimal power system design and efficient operation even in AI workload environments. This is expected to be a revolutionary turning point from the way existing data centers only measured average consumption.

“This is a case study that demonstrates how data centers are being transformed for the AI era,” said Tanuj Khandelwal, CEO of ETAP. “The convergence of power engineering and AI will set a new standard.”

“Collaboration and innovation are essential to successfully operationalize AI technologies,” said Pankaj Sharma, Vice President, Schneider Electric. “This collaboration will help enterprises effectively manage their AI workloads and optimize operations.”