Energy sector set to discuss how National Grid can meet AI demand
- Energy firms will meet with ministers to discuss upgrading the National Grid for future AI demands on Monday.
- The AI Energy Council aims to examine the power needed for increased computer capacity expected in the next five years as AI sectors grow.
- Tech Secretary Mr. Kyle emphasized the importance of sustainable energy sources to support British AI advancements.
- Today's discussions aim to enhance AI infrastructure that benefits communities while maintaining clean energy goals for the future.
17 Articles
17 Articles
Power play: Can the grid cope with AI’s growing appetite?
As the AI Energy Council gathers, the question hanging in the air is: how do we power the future without blowing the grid? The massive data centres needed to train and run the latest AI are thirsty for electricity. Data centre power use in the UK is on track to multiply six times over by 2034, at which point it could be sucking up nearly a third of all our nation’s electricity. That’s a colossal… Source
UK Government and industry leaders hope to power AI through AI energy grid
The UK Government is hosting the second meeting of the AI Energy Council today (30 June) This meeting will bring together senior leaders from technology firms and regulatory bodies to accelerate the transformation of the national grid in preparation for the growing demand for artificial intelligence Co-chaired by the Technology and Energy Secretaries, the meeting aims to ensure that the UK’s energy infrastructure can support a twenty-fold increa…
Second AI Energy Council Meeting Looks To Forecast Future Demand - Cybernoz - Cybersecurity News
The AI Energy Council is holding its second meeting to discuss how the UK’s energy grid can be upgraded to support the power requirements needed to run the next wave of artificial intelligence (AI)-powered applications. The majority of technology providers have set their sights on delivering advanced AI capabilities as part of their product portfolios, which will drive up demand for AI in datacentres and subsequently lead to increases in energy …
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