Nvidia to back SB Energy and OpenAI’s Ohio data center plan in a $105 billion arrangement

Nvidia has entered into an agreement tied to a large data center initiative led by OpenAI and developed with SB Energy, according to a report published by Yahoo Finance. The arrangement is described as reaching $105 billion, placing Nvidia in a capital-intensive role that goes beyond supplying hardware into the broader financing and buildout ecosystem for large-scale AI infrastructure.

The report characterizes the deal as Nvidia “backing” SB Energy as part of OpenAI’s massive Ohio data center plan. In practical terms, such backing typically indicates deep involvement in the supply chain that powers data centers, including the chips, systems, and technical support needed to run AI workloads at scale. Nvidia’s products are commonly used for training and inference, which are the core compute tasks behind today’s generative AI systems.

The sourcing indicates the Ohio initiative is on a very large scale, with the $105 billion figure serving as the headline size of the overall arrangement rather than a straightforward, single-quarter purchase order. However, the available details do not clarify whether the amount refers to total project value, expected equipment and services spend over time, financing terms, or a combination of those elements.

Neither Nvidia nor the report’s packaging in this case provides the kind of granular breakdown investors often look for, such as a per-year capex schedule, a specific quantity of processors or systems, a timetable for commissioning phases, or whether Nvidia’s commitment is structured as guaranteed payments, options, or a partnership framework. The agreement is also not described in the materials here as a binding contract with fixed volumes or as a preliminary understanding subject to later approvals.

For Nvidia, the strategic logic is straightforward. Data centers are the dominant setting for deploying modern AI models, and major hyperscale and cloud customers increasingly plan capacity years in advance. By aligning early with a major buildout program, Nvidia can position itself as the compute platform provider at the center of those deployments, potentially smoothing demand and supporting utilization of its newest data center platforms.

The SB Energy component matters because large power and grid connections often become bottlenecks for AI campuses. Data center projects at this scale typically require coordinated planning across energy procurement, interconnection timelines, and on-site infrastructure. Backing a developer or integrating with that buildout effort can help reduce timing risk, which matters to AI customers that want predictable schedules for training and deployment.

Still, the public information visible in the report does not disclose the full terms of what Nvidia is providing. It does not specify whether Nvidia’s role is limited to technology and support, extends to structured financing, or includes commitments tied to operating performance at the Ohio site. It also does not provide details on governance, profit sharing, or how any risks are allocated among Nvidia, SB Energy, and OpenAI.

Looking ahead, investors and industry watchers will likely focus on whether Nvidia later confirms the agreement in a more detailed primary filing or statement, including the commercial mechanics and expected contribution to revenue. They may also track how the Ohio plan progresses, since the timing of site construction, power availability, and phased deployment can determine how quickly demand materializes for Nvidia’s data center business.