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EPRI, NVIDIA, Prologis, and InfraPartners Announce Collaboration to Produce Smaller Data Centers for the AI Era
SAN DIEGO, Calif., Feb. 03, 2026 (GLOBE NEWSWIRE) -- EPRI today announced a collaboration with Prologis, NVIDIA, and InfraPartners to study smaller-scale data centers designed for distributed inference, a form of real-time data processing used across sectors including logistics, health care, finance, and public services. The announcement was made today at DTECH. The collaborators will assess the deployment of micro data centers—ranging from 5 to 20 megawatts—at or near utility substations with a
About this update from Prologis, Inc.
[{"type":"image","alt":"EPRI","displaySize":"","headline":null,"caption":"EPRI","className":"","disableSlideshowImg":false,"size":{"original":{"width":300,"height":61,"url":"https://media.zenfs.com/en/globenewswire.com/a0ed81f963e95f849bd067e083cdb408"},"resized":{"url":"https://s.yimg.com/ny/api/res/1.2/5XuFRQYhKN.uc2XQAAWj4w--/YXBwaWQ9aGlnaGxhbmRlcjt3PTQyMDtoPTg1O2NmPXdlYnA-/https://media.zenfs.com/en/globenewswire.com/a0ed81f963e95f849bd067e083cdb408","width":300,"height":61}},"lazy":false},{"type":"text","content":"SAN DIEGO, Calif., Feb. 03, 2026 (GLOBE NEWSWIRE) -- EPRI today announced a collaboration with Prologis, NVIDIA, and InfraPartners to study smaller-scale data centers designed for distributed inference, a form of real-time data processing used across sectors including logistics, health care, finance, and public services. The announcement was made today at DTECH.","length":364,"tagName":"p"},{"type":"text","content":"The collaborators will assess the deployment of micro data centers—ranging from 5 to 20 megawatts—at or near utility substations with available grid capacity that can be quickly set up. The goal is to bring inference capabilities—the process of generating real-time responses from trained models—closer to where data is generated and consumed, while making better use of underutilized infrastructure and reducing pressure on congested transmission systems.","length":456,"tagName":"p"},{"type":"text","content":"The companies will explore how smaller, distributed sites can meet computing needs without straining the grid. The collaboration aims to have at least five pilot sites in development across the U.S. by the end of 2026, providing a replicable model for rapid, scalable deployment.","length":279,"tagName":"p"},{"type":"text","content":"“AI is transforming every industry, and the energy system will need to continue to evolve to meet increasing demand,” said EPRI President and CEO Arshad Mansoor. “This collaboration with Prologis, NVIDIA, InfraPartners, and the utility community highlights the type of innovative actions required to meet the moment. Using existing grid capacity to bring inference compute closer to where it’s needed—quickly and reliably—is a win for all.”","length":440,"tagName":"p"},{"type":"text","content":"As artificial intelligence applications scale across industries, demand for AI inference continues to surge. ...