Energy Vault's Power Play: Securing 275 MW to Fuel the AI Infrastructure Boom

WESTLAKE VILLAGE, Calif. – September 10, 2026 – In a move that underscores the critical link between energy and computation, Energy Vault Holdings, Inc. has announced a definitive agreement to secure 275 megawatts (MW) of Rolls-Royce MTU reciprocating engine generation capacity. The procurement, supported by specialized equipment financing from Eagle Point Credit Management, is a direct response to the voracious energy appetite of the burgeoning artificial intelligence sector.

This strategic acquisition is not merely about adding power; it's about addressing the most significant constraint threatening the rapid expansion of AI: speed-to-power. By securing long-lead equipment for delivery between late 2027 and mid-2028, Energy Vault is positioning itself as a crucial enabler for hyperscalers racing to build out their next-generation computing campuses. The deal provides a tangible solution to a problem that has moved from a technical challenge to a primary strategic bottleneck for the entire tech industry.

The AI Power Crunch

The AI revolution runs on electricity, and the industry is consuming it at a staggering, almost unsustainable rate. Global data center electricity consumption is projected by the International Energy Agency (IEA) to more than double by 2030, with AI being the primary driver. Analysts at McKinsey project that AI-related demand alone will surge from 44 gigawatts (GW) to 155 GW by 2030, constituting over two-thirds of total data center power needs.

This explosive growth is creating a crisis. A single hyperscale AI data center can demand anywhere from 100 MW to over 500 MW of power—enough to power a small city. The existing electrical grid infrastructure was not designed for such concentrated, rapid-growth loads. Consequently, the queue to connect new data centers to the grid in the U.S. can stretch as long as seven years, creating a paralyzing bottleneck for an industry that measures progress in months.

“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. His statement highlights the industry's paradigm shift: power availability has surpassed real estate and even capital as the top constraint for AI expansion.

An Integrated Infrastructure Solution

Energy Vault’s strategy, branded 'Powered Land,' aims to circumvent this gridlock by creating an integrated, self-contained energy infrastructure platform. The company’s Build, Own & Operate model involves developing sites with pre-approved grid access, onsite generation, energy storage, and intelligent software controls—offering customers a turnkey power solution.

The 275 MW of Rolls-Royce MTU engines are a cornerstone of this strategy. Known for their reliability in mission-critical applications, these reciprocating engines provide dispatchable power that can operate independently or in concert with the grid and battery storage systems. This integrated architecture is designed to deliver the high-quality, resilient power required by sensitive AI workloads while providing a faster path to energization.

“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 explained. This proactive procurement de-risks the development timeline for Energy Vault's future customers, giving them much-needed certainty in their expansion plans.

The New Economics of Energy Infrastructure

The financing component of the deal is as significant as the technology. The involvement of Eagle Point Credit Management, a firm specializing in private credit, signals a broader market trend: the rise of bespoke financial solutions to accelerate the build-out of critical infrastructure.

The 'dedicated equipment financing' allows Energy Vault to secure the high-value engines without deploying massive amounts of corporate capital upfront. This capital-efficient model is essential for scaling its infrastructure platform while maintaining financial discipline. It allows the company to build a portfolio of long-duration infrastructure assets that generate recurring revenue, a model highly attractive to long-term investors.

“The rapid growth of AI infrastructure is creating significant demand for power capacity and the capital required to deploy that infrastructure at scale,” noted Jennifer Powers, Principal and Head of Infrastructure Credit at Eagle Point. “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.” This partnership exemplifies how the financial sector is adapting to provide the agile, large-scale capital needed to fuel the AI boom, stepping in where traditional financing models may be too slow or rigid.

By tackling the interconnected challenges of equipment supply, capital access, and deployment speed, Energy Vault's latest move is more than a simple procurement. It is a strategic play to build the foundational infrastructure of the AI era, providing a repeatable, scalable pathway for hyperscalers to power their ambitious futures.