ETAP and Schneider Electric Unveil World’s First Digital Twin to Simulate AI Factory Power Requirements from Grid to Chip Level Using NVIDIA Omniverse

Core Insights - Schneider Electric and ETAP have launched a digital twin technology that simulates the power requirements of AI factories, enhancing energy efficiency and predictive maintenance [1][4][5] - The collaboration integrates ETAP's electrical digital twin technology with NVIDIA Omniverse™ Cloud APIs, allowing for comprehensive modeling of electrical systems [2][3] - This innovation addresses the increasing power consumption driven by AI workloads, necessitating a rethinking of data center design and management [2][3] Group 1: Technology and Innovation - The digital twin provides advanced insights into electrical systems, enabling operators to optimize energy efficiency and reduce total cost of ownership [1][13] - ETAP's modeling technology creates a virtual replica of electrical infrastructure, combining real-time data and advanced analytics for improved power management [2][3] - The "Grid to Chip" approach enhances precision in modeling dynamic load behavior, crucial for optimizing energy efficiency in data centers [3] Group 2: Industry Impact - The collaboration aims to transform data center operations, improving grid reliability and performance while addressing the challenges of AI workloads [4][5] - As AI adoption accelerates, the need for efficient power management becomes critical for startups, enterprises, and data center operators [2][5] - The partnership signifies a shift in how data centers can be designed and managed, integrating electrical engineering with advanced virtualization and AI technologies [5]