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Nvidia thinks AI can solve electrical grid problems caused by AI | TechCrunch

Nvidia thinks AI can solve electrical grid problems caused by AI | TechCrunch

NVIDIA announced on Thursday that it will work with EPRI, a research and development organization in the power industry, to use AI to solve the problems faced by the power grid. Ironically From the AI ​​itself.

Open Power AI Alliance, which includes many electrical utilities and tech companies, explain It will use so-called domain-specific AI models to design new ways to solve the problems the power industry will face in the coming years. These models will be open source and used by researchers from all academic and industry sectors.

The power industry is facing Data center demand surges In the United States and elsewhere, as artificial intelligence intensifies the demand for computing power. Electricity demand is expected to grow by 4% per year in the coming years. according to For the International Energy Agency, the figures for 2023 have almost doubled.

Except Nvidia and Epri Neomenergy and water companies. Technically, Microsoft and Oracle are both members.

To stay ahead, tech companies have been competing to ensure generation of capabilities, as power has shifted from simple order items to competitive advantage.

Tech companies have been signing new contracts for the past year or so. They are largely distributed in renewable energy projects, mainly due to the low cost of solar energy, modularity and the stimulus that can be deployed at speed.

For example, Microsoft, Recently added 475 MW of solar energy to its considerable renewable portfolio. Last year, it became Anchor investors A $9 billion renewable development project in Acadia and earlier in the year said it was deploying in partnership with Brookfield Asset Management 10.5 GW Renewable capabilities in the United States and Europe, all of which are expected to go live in 2030.

But even if new power supplies may be the most obvious answer to losing power shortage, they aren’t the only ones.

one Recent research It was found that by reducing the use of grid peaks when using it, including time-insensitive tasks that are not sensitive to low-demand periods, 76 GB of capacity can be unlocked in the U.S., which is not a trivial amount, and constitutes 10% of the U.S. peak demand.

These new consortiums will be exploring these new consortiums.

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