Schneider Electric, along with power system technology provider ETAP, has introduced a digital twin solution designed specifically for simulating and optimizing electrical infrastructure in AI-driven data centers. Developed in collaboration with NVIDIA utilizing its Omniverse Blueprint platform, this digital twin integrates mechanical, thermal, networking, and electrical system inputs, enabling comprehensive modeling and realistic simulation of operational dynamics within AI factory data centers.
This new solution significantly expands upon previous capabilities, which were generally limited to basic electrical visualization. ETAP’s advanced modeling tool digitally replicates a data center’s electrical infrastructure, combining it closely with real-time power data, predictive analytics, and performance insights. Intelligent algorithms embedded within the system can forecast power consumption patterns, monitor real-time electrical performance, optimize energy efficiency, conduct predictive maintenance, and assess system reliability. Additionally, the solution includes functionality for dynamic “What-If” scenario analysis and estimation of infrastructure requirements based on precise power usage models aimed at reducing total cost of ownership.
Data centers supporting AI workloads such as high-performance model training and complex inference computing face increased rack-level power densities compared to traditional operations. The companies point out that accurate, chip-level modeling of dynamic load behaviors is essential in managing the resulting growth in power demand. Through the “Grid to Chip” approach, ETAP aims to deliver significantly improved precision for power management and efficiency optimization within evolving AI infrastructures.
“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 center operators unprecedented visibility and control over power dynamics, empowering them to optimize their infrastructure and accelerate AI adoption while enhancing operational resilience.”
“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 virtualization and AI technologies, we’re creating a new paradigm for infrastructure management.”
Source: Schneider Electric and ETAP
