Test report DSG-1645 · Rev F · tested October 10, 2026

AI Datacenter InfrastructureDevice under test

Nvidia weighs $250bn backstop for OpenAI's 10GW Ohio data center

Nvidia is weighing a $250 billion backstop for OpenAI's planned 10GW data center in Ohio, Data Center Dynamics reports, in what would be a record-scale AI infrastructure commitment.

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Amara Osei

Spec summary

  1. Nvidia is considering a $250 billion backstop for OpenAI, per a Data Center Dynamics report.
  2. The backstop would support OpenAI's planned 10GW data center in Ohio.
  3. A 10GW campus would rank among the largest data center projects ever announced.
  4. Neither Nvidia nor OpenAI has publicly confirmed the reported figure.
Nvidia considers $250bn backstop for OpenAI's planned 10GW Ohio data center - report - Data Center Dynamics
Fig. ANvidia considers $250bn backstop for OpenAI's planned 10GW Ohio data center - report - Data Center Dynamics — AI-generated

Nvidia is considering a $250 billion backstop for OpenAI's planned 10-gigawatt data center in Ohio, according to a report by Data Center Dynamics.

The figure, if confirmed, would rank among the largest single commitments ever tied to AI infrastructure. The proposed facility's 10GW capacity dwarfs typical hyperscale campuses, which generally operate in the hundreds of megawatts.

What would the backstop cover?

Under the arrangement reported by Data Center Dynamics, Nvidia would guarantee financing or capacity commitments tied to the Ohio buildout. Details of the structure remain unconfirmed, and neither Nvidia nor OpenAI has publicly commented on the reported figure.

Key parameters of the reported deal:

  • $250 billion — the backstop amount Nvidia is reportedly considering
  • 10GW — the planned capacity of OpenAI's Ohio data center
  • Ohio — the site of the proposed facility, a state that has attracted major data center investment in recent years

Why does scale matter?

A 10GW campus would place the project in the top tier of global data center developments. For comparison, most large AI training clusters today draw power measured in hundreds of megawatts, and only a handful of announced projects target multi-gigawatt capacity.

A backstop of this size would tie Nvidia's balance sheet directly to demand for its own accelerators. Chipmakers have historically avoided financing their customers' buildouts at this scale, making the reported structure notable if it proceeds.

What remains unconfirmed?

The report has not been corroborated by official statements. OpenAI has pursued multiple large-scale data center arrangements with infrastructure partners as it scales compute for training and inference. Nvidia supplies the majority of GPUs used by the company.

Neither company has disclosed:

  • A timeline for construction of the Ohio facility
  • The financing structure of the reported backstop
  • Power procurement arrangements for the 10GW campus

Data Center Dynamics first reported the figure. Additional details are expected as the companies respond to the report.

via Google News: GPU datacenter (Source)

Filed under

  • nvidia
  • openai
  • data-center
  • gpu
  • ai-infrastructure
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Amara Osei

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Staff writer covering business strategy at Die Signal.

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