Artificial Intelligence & Machine Learning
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Next-Generation Technologies & Secure Development
Open Power AI Consortium Members Include Nvidia and Microsoft

Tech giants and utility providers on Thursday formed an alliance to harness artificial intelligence for a more resilient power grid.
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More than two dozen organizations are participating in the Open Power AI Consortium led by the Electric Power Research Institute, including energy firms and tech companies such as Nvidia, Microsoft and Amazon Web Services.
The consortium was launched at Nvidia’s GTC AI Conference. It aims to accelerate the development of AI applications that can predict failures, optimize energy distribution and minimize outages. With AI’s increasing energy demands adding strain to the grid, proponents say that advanced algorithms can help utilities balance supply and demand more efficiently (see: Biden Opens US Federal Sites for AI Data Center Growth).
“Over the next decade, AI has the great potential to revolutionize the power sector by delivering the capability to enhance grid reliability, optimize asset performance and enable more efficient energy management,” EPRI President and CEO Arshad Mansoor said.
Over the last year, tech companies have been inking new contracts for renewable energy, spurred mostly by solar’s low cost, modularity and the speed at which it can be deployed. Microsoft recently added 475 megawatts of solar power to its sizable renewable portfolio and became an anchor investor last year in a $9 billion renewable development project run by Acadia. It began working with Brookfield Asset Management to deploy 10.5 gigawatts of renewable power in the United States and Europe, all of which is expected to come online by 2030.
A dominant player in AI hardware and software, Nvidia is contributing its GPU-accelerated computing platforms and AI development tools. Cloud service providers Microsoft and AWS will likely offer infrastructure for training and deploying AI models, while utility firms including Southern Company and Exelon will provide grid data.
The consortium is not without challenges. Training AI models require vast datasets, which may raise privacy concerns. Ensuring AI models produce reliable and unbiased predictions is a technical challenge, and regulatory oversight will likely be a factor, particularly as the industry navigates the complexities of AI decision-making in critical infrastructure.
The consortium looks to promote collaboration and knowledge-sharing in the energy sector. While specific plans regarding open-source AI models are still unknown, the members aim to contribute research and insights to advance AI adoption across the industry.