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Digital Twins and GPU-Accelerated AI: Transforming Grid Edge Intelligence for the Modern Distribution Network
As distributed energy resources (DER) proliferate and grid complexity intensifies, utilities face unprecedented demands for real-time intelligence at the edge of the network. This session explores how digital twin technology combined with GPU-accelerated computing is revolutionizing grid edge operations, enabling utilities to process massive data streams, run multiple AI workloads simultaneously, and respond to grid conditions in microseconds rather than minutes.
Join Utilidata, NVIDIA, and Quanta as they discuss practical implementations of GPU-powered edge computing that support real-time anomaly detection, load classification, and predictive analytics—all running concurrently on the same hardware infrastructure. Learn how digital twins create virtual replicas of physical grid assets, allowing utilities to simulate scenarios, optimize DER integration, and enhance system resilience before deploying changes to live networks.
Session Sponsored by Utilidata
