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LōD Technologies has been selected to pilot its flexible AI inference technology with Dominion Energy. The utility, one of North America's largest energy providers, is testing the system within its territory in the PJM electricity market, which contains the world's largest concentration of data centers. This move positions compute flexibility as a potential resource for grid stability and capacity management.
The core function of LōD’s platform is to adjust AI inference workloads, the process by which trained models generate results, in real time based on changes in electrical grid conditions. The company claims the technology can manage these shifts without compromising performance, uptime, or service-level agreements required by cloud and data center operators.
The successful deployment of this technology could establish AI computing loads as a measurable, scalable resource for utility-scale grid management and demand response programs.
This development directly addresses a growing tension between massive computing demand and utility capacity. AI inference is projected to account for up to 80% of all AI-related electricity consumption. By making these workloads responsive to grid conditions, LōD aims to help utilities accommodate increasing compute demands while simultaneously creating additional revenue streams through demand-response programs.
For data center operators, the technology promises automation in decision-making regarding energy use shifts. This capability reduces the manual intervention and performance risks that have historically made operators hesitant about participating in grid flexibility programs. LōD CEO Medi Naseri stated that compute flexibility is becoming a requirement for next-generation data centers.
The pilot allows Dominion Energy to identify innovative technologies that can support an affordable and reliable electricity system amid rapid growth, while providing LōD a live environment to prove that AI infrastructure can actively participate in grid reliability rather than merely consuming fixed amounts of power.
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