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Ohio AI Campus Lands $1.17 Billion Order

Summary

  • AI customer places $1.17 billion in take-or-pay orders.
  • Orders include $133 million in contractual prepayments.
  • Infrastructure deployment starts December 2026.

Alignment Engine, a subsidiary of Volato Group, Inc., has announced a transformative commercial achievement. The company has entered into two four-year, take-or-pay orders with a major AI customer, totaling $1.17 billion in aggregate contract value. These agreements represent the first significant customer commitment for Alignment Engine's AI infrastructure platform.

The orders detail the phased deployment of dedicated, next-generation AMD GPU infrastructure at Alignment Engine's AI campus located in Ohio. The initial phase will utilize AMD MI355X GPUs, with a contractual start date of December 31, 2026. A subsequent deployment will feature AMD MI455X GPUs, scheduled to commence on June 30, 2027. These deployments are designed as dedicated, single-tenant GPU clusters.

Under the terms of these orders, the AI customer has committed to approximately $133 million in contractual prepayments. This includes an initial $40 million due immediately following the execution of the first order. The remaining prepayments are structured to align with specific dates and equipment shipment milestones. The remainder of the contract value will be paid on a take-or-pay basis over the four-year duration.

Volato's CEO, Chris Ensey, highlighted this as a crucial opportunity to establish a long-term relationship with a major AI client. He emphasized the evolving landscape of AI, predicting a future defined by greater choice in models, hardware, and deployment environments. Ensey believes dedicated AI infrastructure will become increasingly vital as enterprises prioritize performance, economics, and data sovereignty.

The contracted infrastructure will be dedicated exclusively to this customer, forming a cornerstone for the initial phases of Alignment Engine's planned Ohio AI infrastructure campus. This campus is being developed to support resource-efficient AI workloads through an integrated model that combines power, cooling, advanced GPU compute, and high-performance networking.

Disclaimer: This story has been auto-aggregated and auto-summarised by a computer program. This story has not been edited or created by the Feedzop team.

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