ETAP, Schneider Electric & NVIDIA Unveil AI Factory Digital Twin to Transform Data Centre Power Management

A leader in the digital transformation of energy management and automation, Schneider Electric, and the industry and technology leader in power system design and operation, ETAP, are unveiling a cutting-edge digital twin that can accurately design and simulate the power needs of an AI Factory.

Using 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 aims 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.

The Next Generation of AI Factory Power Management

While basic visualisation 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 modelling technology will create a virtual replica of a data centre’s electrical infrastructure and combine it with real-time power system data, advanced analytics, and insights. Intelligent algorithms analyse 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 optimisation
• Predictive maintenance and system reliability assessment
• Infrastructure needs based on power usage that can help reduce the total cost of ownership

Senior Director of HPC and AI Factory Solutions at NVIDIA, Dion Harris said as AI workloads grow in complexity and scale, precise power management is critical to ensuring efficiency, reliability, and sustainability

“Through our collaboration with ETAP and Schneider Electric, we are offering data centre operators unprecedented visibility and control over power dynamics, empowering them to optimise their infrastructure and accelerate AI adoption while enhancing operational resilience,” added Harris.

Precise Power Modelling for AI Workloads

From large-scale training clusters to edge inference servers, AI workloads are driving a significant increase in data centre 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. Schneider Electric said as AI adoption accelerates, startups, enterprises, colocation providers, and internet giants must rethink data centre design and management to address the growing need for power efficiency.

ETAP and NVIDIA’s collaboration introduces an innovative “Grid to Chip” approach that aims to address the critical challenges of power management, performance optimisation, and energy efficiency in the era of AI. Currently, data centre operators can estimate average power consumption at the rack level, but ETAP’s new digital twin aims to increase precision in modelling dynamic load behaviour at the chip level to improve power system design and optimise energy efficiency.

For CEO of ETAP, Tanuj Khandelwal, this collaboration represents more than just a technological solution.

“We are fundamentally reimagining how data centres can be designed, managed, and optimised in the AI era. By bridging electrical engineering with advanced virtualisation and AI technologies, we’re creating a new paradigm for infrastructure management,” added Khandelwal.

ETAP and NVIDIA Omniverse for Smarter AI Factories

This collaborative effort aims to highlight the commitment of both ETAP and NVIDIA to drive innovation in the data centre sector, allowing businesses to optimise their operations and effectively manage the challenges associated with AI workloads. The collaboration intends to enhance data centre efficiency while also improving grid reliability and performance.

Executive Vice President for Data Centers, Networks & Services at Schneider Electric Pankaj Sharma, said collaboration, speed, and innovation are the driving forces behind the digital infrastructure transformation that is required to accommodate AI workloads.

“Together, ETAP, Schneider Electric, and NVIDIA are not just advancing data centre technology — we are empowering businesses to optimize operations and seamlessly navigate the power requirements of AI,” added Sharma.