INNIO Secures 1.5 GW Order from VoltaGrid to Power AI Data Centers
INNIO Group has announced a landmark 1.5-gigawatt (GW) order from VoltaGrid, significantly strengthening the companies’ collaboration in behind-the-meter (on-site) power generation solutions for artificial intelligence (AI) and high-performance computing (HPC) infrastructure. The agreement marks one of the largest orders in INNIO’s history and underscores the growing demand for reliable, scalable energy solutions tailored to the rapid expansion of AI-driven data centers across the United States.
Under the terms of the agreement, INNIO is expected to deliver a total of 300 Jenbacher gas engines, drawn from its Type J624 and Type J620 series. These engines will be deployed as part of VoltaGrid’s proprietary QPac™ platform, with each system configured into modular 25-megawatt (MW) units. The full delivery program is scheduled to be completed by 2028, aligning with the accelerated buildout timelines of next-generation data center campuses.
Addressing the Energy Demands of the AI Era
The rapid rise of AI applications—particularly generative AI, machine learning training clusters, and GPU-intensive workloads—has transformed the energy profile of modern data centers. Unlike traditional server environments, AI-focused facilities experience highly volatile and dynamic power demands. Graphics Processing Units (GPUs), which are central to AI computation, require high-density, low-latency energy infrastructure capable of responding instantaneously to fluctuating loads.
This shift has created unprecedented pressure on existing power grids. Utilities across North America are facing interconnection bottlenecks, long lead times for new transmission infrastructure, and increasing reliability concerns. Against this backdrop, behind-the-meter generation has emerged as a compelling alternative, enabling data center operators to deploy on-site power systems that operate independently or in parallel with the grid.
INNIO’s Jenbacher engines, integrated into VoltaGrid’s QPac™ platform, are specifically engineered to meet these emerging requirements. The modular 25 MW units allow for rapid deployment and scalable expansion, enabling operators to bring capacity online in phases as demand grows. This modularity reduces project risk, shortens time-to-power, and enhances operational flexibility.
Strengthening a Strategic Collaboration
Dr. Olaf Berlien, President and CEO of INNIO Group, emphasized the strategic importance of the agreement. He described the order as a testament to the strength and reliability of INNIO’s technology portfolio and reaffirmed the company’s commitment to supporting the energy backbone of the AI economy.
“This landmark order underscores the strength of INNIO’s technology and our commitment to power the growth of AI,” Berlien said. “We are proud to deepen our collaboration with VoltaGrid as we help shape the evolution of energy infrastructure.”
For VoltaGrid, the agreement represents a major milestone in its mission to deliver flexible, grid-grade power solutions to some of the fastest-growing segments of the digital economy. CEO Nathan Ough characterized the partnership as foundational to building the infrastructure required for the AI era.
“This is a major step forward in building the energy backbone for the AI era,” Ough said. “Together with INNIO, we are delivering a scalable, grid-grade solution that offers fast response and eliminates the need for batteries. Our collaboration provides the speed, reliability, and sustainability required to power next-generation data centers.”
Engineering for Performance and Flexibility
The integrated solution developed jointly by INNIO and VoltaGrid is designed to provide prime power, backup power, and peaking capacity within a single system architecture. This multi-function capability ensures that data centers can maintain continuous operations even in the face of grid instability or unexpected outages.
A distinguishing feature of the Jenbacher Type J624 and J620 engines is their ability to maintain full power output and high efficiency levels even at elevated ambient temperatures. This is particularly important for deployments in regions with hot climates, where performance degradation can otherwise compromise reliability.
Moreover, the engines offer excellent transient performance, enabling them to manage rapid load changes typical of AI workloads. GPU clusters can swing from low utilization to peak demand in seconds, and power systems must respond accordingly to prevent voltage drops, frequency instability, or operational disruptions. The Jenbacher platform’s dynamic response capabilities help ensure stable operations under these demanding conditions.
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