Schneider, ETAP reveal digital twin simulates needs of AI factories
Schneider Electric and automation, and power system designer ETAP have unveiled a digital twin that can accurately design and simulate the power needs of AI Factories.
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.
Through Nvidia’s Omniverse Blueprint, Schneider and ETAP’s simulator brings together multiple inputs for mechanical, thermal, networking, and electrical systems.
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 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, delivering insights such as real time performance tracking, ‘wat if’ scenarios analysis and predictive maintenance.
ETAP and NVIDIA’s collaboration introduces a ‘grid to chip’ approach that addresses the critical challenges of power management, performance optimisation, and energy efficiency. Currently, data centre operators estimate average power consumption at the rack level, but the digital twin aims to increase precision on modeling dynamic load behaviour at the chip level to improve power system design and optimise energy efficiency.
“This collaboration represents more than just a technological solution,” said Tanuj Khandelwal, CEO of ETAP. “We’re fundamentally reimagining how data centers can be designed, managed, and optimized in the AI era. By bridging electrical engineering with advanced virtualisation and AI technologies, we’re creating a new paradigm for infrastructure management.”
“As AI workloads grow in complexity and scale, precise power management is critical to ensuring efficiency, reliability, and sustainability,” said Dion Harris, senior director of HPC and AI factory solutions at Nvidia. “Through our collaboration with ETAP and Schneider Electric, we’re 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.”
Pankaj Sharma, executive vice president for data centres, networks & services, Schneider Electric added: “Collaboration, speed, and innovation are the driving forces behind the digital infrastructure transformation that’s required to accommodate AI workloads. Together, ETAP, Schneider Electric, and NVIDIA are not just advancing data center technology – we’re empowering businesses to optimize operations and seamlessly navigate the power requirements of AI.”
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