Pittsburgh’s Eos Energy Enterprises announced it had entered into a joint development agreement with TURBINE-X to develop and deploy a private power infrastructure for AI.
The new model is designed to deliver firm, dispatchable energy for hyperscale data centers and other mission-critical loads on accelerated timelines. Officials with both companies said the integration of gas-fired power generation and “Indensity” storage architecture is capable of meeting accelerated power demands by AI infrastructure.
The companies said as AI infrastructure scales up, hyperscale developers are increasingly requiring capacity on quicker timelines – months and not years. The Eos and TURBINE-X solution combines simple-cycle turbine generation with high-density, fast-response energy storage, officials said, creating a fully engineerable power solution designed for constrained, high-load environments such as AI campuses. Initial deployments are targeted for 2027.
“Our customers need power delivered on accelerated timelines,” Michael Warneboldt, CEO of X-Group of Companies, said. “By integrating our generation capabilities with Eos storage, we can deliver a fully dispatchable, engineered solution that meets the scale and reliability requirements of hyperscale infrastructure. The JDA provides the structure and accountability to move quickly and execute.”
The current pipeline for the companies includes multiple large-scale projects in active development that would each support multi-hundred-megawatt deployments per site. More opportunities are under evaluation, the companies said. Projects will advance under jointly defined milestones, performance criteria, and customer requirements, governed by a Development Advisory Committee established under the agreement.