Caveats of Meeting The Power Supply Needs of AI Datacenters

 The shift towards the use of Wide Band Gap Semiconductors, higher power densities, and higher efficiency is rather driven by the cumulative but diverse demands of various applications of power supplies, but the recent boom of AI is steamrolling the technological attention of the industry towards itself. The magnitude of the scenario is a bit difficult to fathom. But just take a look at some data by the International Energy Agency– datacenter electricity consumption worldwide is expected to be over 1,000 TWh by 2026, with AI-related workloads contributing a major portion of that growth. In the US alone, data centers can account for as much as 8% of the country’s electricity by 2030, driven predominantly by the spread of generative AI. Furthermore, training large AI models can require as much as 1,200 megawatt-hours (MWh) per training cycle, a figure that continues to rise with each generational leap in AI capability.

To read more : https://wawt.tech/2025/05/05/caveats-of-meeting-the-power-supply-needs-of-ai-datacenters/

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