White Paper

Transforming power grids: Evolving utility communications for AI

Meeting the communications demands of distributed AI workloads in power grids

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Download the White Paper to discover:

How AI systems work and how they can transform grid operations

Key characteristics of distributed AI workloads

Essential communications requirements for distributed AI workloads

Network considerations for supporting graphics processing unit (GPU) clusters

A communications network blueprint for distributed AI in power grids

 


Power utilities are turning to AI to make their grids more reliable, flexible, responsive and efficient. To get the most from their AI investments, utilities will need to upgrade their existing network infrastructure and ensure that it can provide new levels of performance and an abundance of high-quality data from IEDs and sensors across the grid.

This paper explores the impact of AI on the grid communications network infrastructure. Read it to enhance your knowledge of the characteristics and communications requirements of AI workloads, and the key factors to consider as you connect graphics processing units (GPUs) to support these workloads. You will also learn about communications network blueprint that can meet the demands of distributed AI in your power grid.

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