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

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Digital twin provides enhanced insight and control over AI Factory electrical systems and power requirementsProduct collaboration integrates ETAP’s advanced Electrical Digital Twin technology with NVIDIA Omniverse™ Cloud APIsOperators can benefit from advanced energy efficiency, predictive maintenance, and reduced total cost of ownership

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

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

Boston, MA, USA, March 19, 2025 (GLOBE NEWSWIRE) -- BOSTON (USA), March 18, 2025 Schneider Electric, the leader in the digital transformation of energy management and automation, and ETAP, the industry and technology leader in power system design and operation, are unveiling a cutting-edge digital twin that can accurately design and simulate the power needs of AI Factories. Leveraging the NVIDIA Omniverse™ Blueprint for AI factory digital twins, Schneider Electric and ETAP enable the development of digital twins that bring together multiple inputs for mechanical, thermal, networking, and electrical systems to simulate how an AI Factory operates. The collaboration is set to transform AI Factory design and operations by providing enhanced insight and control over the electrical systems and power requirements, presenting an opportunity for significant efficiency, reliability and sustainability gains.

While basic visualization of electrical systems was previously possible, the integration of ETAP and NVIDIA Omniverse technologies enables the creation of a comprehensive AI Factory digital twin where multiple dynamics interact seamlessly. ETAP’s sophisticated modeling technology will create a virtual replica of a data center’s electrical infrastructure and combine it with real-time power system data, advanced analytics, and insights. Intelligent algorithms analyze and predict power consumption and distribution patterns, allowing unprecedented insights into:

  • Advanced electrical system design and simulation

  • Dynamic “What-If” scenario analysis

  • Real-time electrical infrastructure performance tracking

  • Advanced energy efficiency optimization

  • Predictive maintenance and system reliability assessment

  • Infrastructure needs based on power usage that can help reduce total cost of ownership

From large-scale training clusters to edge inference servers, AI workloads are driving a significant increase in data center power consumption. Unlike traditional computing tasks, AI operations — particularly model training and complex inference processes — require substantial computational power, leading to higher rack power densities. As AI adoption accelerates, startups, enterprises, colocation providers, and internet giants must rethink data center design and management to address the growing need for power efficiency.