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Data Center News > Blog > Edge Computing > AI inference moves closer to the grid as smaller data centers take shape
Edge Computing

AI inference moves closer to the grid as smaller data centers take shape

Last updated: February 18, 2026 2:36 pm
Published February 18, 2026
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AI inference moves closer to the grid as smaller data centers take shape
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EPRI, NVIDIA, Prologis and InfraPartners have revealed they’re working collectively to create smaller scale (5-20MW) distributed knowledge facilities nearer to utility substations with out there grid capability that may carry out AI inference.

It’s hoped the mission will get real-time AI processing nearer to the place the info originates so as to alleviate grid congestion whereas tapping into a few of these underutilized assets.

At the very least 5 pilot websites are to be established within the U.S. by finish 2026, establishing a mannequin that may be scaled up.

“AI is driving a brand new industrial revolution that calls for a elementary rethinking of information middle infrastructure,” says Marc Spieler, senior managing director for the World Vitality Business at NVIDIA. “By deploying accelerated computing assets immediately adjoining to out there grid capability, we are able to unlock stranded energy to scale AI inference effectively. This distributed method, powered by NVIDIA accelerated computing, maximizes present power property, serving to to ship the intelligence required to rework each trade.”

By inserting computing functionality on the substation, the mission bolsters grid resiliency, growing system flexibility and facilitating renewable power integration.

EPRI gives expertise functionality in analysis validation and web site identification, Prologis experience in land web site analysis and commercialization whereas NVIDIA affords GPU-accelerated computing platforms and InfraPartners deploys knowledge middle infrastructure.

With a surge in demand for AI inference throughout varied industries comparable to logistics, healthcare and finance, the partnership is designed to accommodate that demand by providing high-speed, dependable and location-specific compute energy.

This decentralized methodology will make the most of our present power assets, ease the transmission bottleneck and facilitate the evolution of our power system. The mission demonstrates the need for revolutionary infrastructure companies that’s able to effectively assembly rising wants in power and AI.

See also  Legacy data centres - opportunity or liability?

Associated

AI inference  |  edge AI  |  EDGE Knowledge Facilities  |  edge infrastructure  |  EPRI  |  InfraPartners  |  Nvidia  |  Prologis

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TAGGED: Centers, closer, data, Grid, Inference, Moves, shape, smaller
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