Energy Vault Holdings, Inc. (NYSE: NRGV), a global energy infrastructure company supporting grid reliability and next-generation AI and high-performance computing infrastructure, has secured and fully contracted 275 MW of reciprocating engine generation capacity utilizing Rolls-Royce MTU technology, backed by dedicated equipment financing from Eagle Point Credit Management LLC. The announcement marks a significant execution milestone in the company's strategy to address one of the most pressing constraints facing hyperscale AI infrastructure: access to reliable power on timelines aligned with rapidly growing compute demand.
The long-lead reciprocating engine generation capacity is expected to be delivered beginning in the second half of 2027 and continuing through the first half of 2028. The dedicated equipment financing from Eagle Point is structured to support capital-efficient procurement while limiting the use of corporate capital prior to deployment into customer projects. By contracting generation capacity ahead of deployment while simultaneously securing financing, Energy Vault is addressing two critical requirements for large-scale AI infrastructure development: equipment availability and access to capital.
"For hyperscalers, access to power and speed-to-power are increasingly determining where and how quickly AI infrastructure can be deployed," said Cory Magnuson, President of Asset Vault at Energy Vault. "By securing 275 MW of reciprocating engine generation capacity for delivery beginning in 2027, together with dedicated financing supporting the procurement, we are taking greater control over two critical elements of execution: equipment availability and capital."
Magnuson continued, "We are executing on our strategy to build, own and operate the critical power infrastructure required to support large-scale AI campuses—creating long-duration infrastructure assets, recurring cash flows and durable value for Energy Vault and its shareholders. Securing this generation capacity ahead of deployment strengthens our ability to provide hyperscale customers with greater certainty around power availability and deployment schedules while maintaining capital discipline as we scale our Powered Land platform."
The secured generation capacity will utilize proven Rolls-Royce MTU reciprocating engine technology designed for demanding power applications, including mission-critical and data center infrastructure. The modular nature of reciprocating engine generation is expected to support phased deployment and expansion as Energy Vault develops onsite power infrastructure across its AI campus portfolio. The equipment is expected to be deployed as part of Energy Vault's integrated power architecture combining dispatchable onsite generation, battery energy storage systems, grid-forming power conversion systems and advanced power plant controls. This integrated architecture is designed to provide hyperscale customers with a repeatable pathway to faster energization while supporting the reliability, power quality and operational flexibility required by next-generation AI workloads.
Energy Vault's Powered Land strategy brings together development-ready land, grid access, onsite generation, energy storage, electrical infrastructure and intelligent controls into an integrated infrastructure platform. Depending on individual project requirements, Energy Vault intends to develop, finance, build, own and operate these assets under long-term commercial agreements with hyperscale and AI infrastructure customers. The 275 MW of secured reciprocating engine generation capacity is intended to support Energy Vault's broader portfolio of multi-gigawatt AI infrastructure opportunities and complements the company's previously announced initiatives to deliver integrated power infrastructure for hyperscale AI data centers.
"We are excited to continue our support of Energy Vault as it expands its power infrastructure platform for hyperscale AI customers," said Jennifer Powers, Principal and Head of Infrastructure Credit at Eagle Point. "The rapid growth of AI infrastructure is creating significant demand for power capacity and the capital required to deploy that infrastructure at scale. Equipment lead times are often a critical path to getting power online and our bespoke structuring solutions aim to move as quickly as the market demands."
The transaction underscores a broader trend in the AI infrastructure market, where power availability and speed-to-power have become decisive factors in determining where and how quickly hyperscale computing campuses can be built. As demand for AI compute continues to accelerate, the ability to secure long-lead generation equipment and pair it with tailored financing structures is emerging as a competitive differentiator for infrastructure developers serving the hyperscale segment.
