National Grid and Emerald AI are partnering to demonstrate AI adjusting data center energy use in the UK, aiming to boost transmission network efficiency. The project will feature a live demo in late 2025 with Emerald AI’s Conductor system managing energy demand flexibly. The trial will use NVIDIA GPUs for dynamic energy consumption adjustments to support grid stability.

The collaboration aims to tackle the growing energy demands of AI-powered data centers by allowing them to reduce energy usage during peak demand, optimizing grid capacity and potentially reducing the need for new infrastructure. National Grid Partners has made a strategic investment in Emerald AI, emphasizing the importance of flexible energy management for connecting data centers efficiently.

Steve Smith, chief strategy and regulation officer at National Grid, highlighted the importance of managing energy use efficiently as the UK’s digital economy grows. Varun Sivaram, founder of Emerald AI, emphasized the potential of AI infrastructure to enhance grid reliability and affordability, accelerating AI innovation in the UK.

The demonstration will showcase how different AI workloads can be adjusted in real-time to respond to grid conditions, with plans to advance technical standards for AI data center flexibility and collaborate with customers to bring this capability to the UK’s expanding pipeline of data centers. This effort aligns with the broader trend in the energy sector to integrate digital technologies for more effective supply and demand management, supporting economic growth and a more flexible energy system in the UK.

Read more at Yahoo Finance: Emerald AI and National Grid Pilot Flexible Energy System