Nvidia Cuts OpenAI Data Center Guarantee to Under
ould allow the project to obtain financing on more favorable terms by effectively putting the chipmaker’s financial strength behind certain obligations.
The revised plan reduces that exposure to less than $120 billion for the project's first phase.
According to the latest reports, that initial phase would cover approximately five gigawatts of capacity. OpenAI is still negotiating a lease for the full 10-gigawatt campus, meaning the reduction does not necessarily signal the cancellation or downsizing of the ultimate project.
Instead, the restructuring appears designed to limit Nvidia’s immediate financial exposure while allowing development of the enormous AI campus to continue.
Ohio Project Could Become One of the Largest AI Facilities
The Ohio development is part of a much broader effort by OpenAI to build access to computing infrastructure at unprecedented scale.
The planned campus is being developed in southern Ohio by SB Energy, a SoftBank subsidiary. Reports have estimated that the entire project, including computing equipment and related infrastructure, could eventually cost more than $500 billion.
The site is expected to require 10 gigawatts of power, putting it among the largest planned data center developments in the world by electricity demand. Earlier reporting said the first phase could come online later in the decade, with construction involving significant investment in power generation and transmission infrastructure.
The scale demonstrates how dramatically the economics of artificial intelligence have changed.
Training and operating increasingly sophisticated AI models require enormous quantities of GPUs, networking equipment, electricity and cooling capacity. Companies such as OpenAI are therefore looking beyond conventional cloud arrangements and toward dedicated AI campuses capable of supporting millions of processors.
Nvidia and OpenAI Have Deepened Their Partnership
Nvidia’s involvement in the Ohio project is part of a much larger relationship with OpenAI.
In September 2025, the companies announced a strategic partnership to deploy at least 10 gigawatts of Nvidia systems for OpenAI’s next generation of AI infrastructure.
At the time, Nvidia said it intended to invest up to $100 billion in OpenAI progressively as each gigawatt of infrastructure was deployed. The companies said the first gigawatt was targeted for deployment in the second half of 2026 using Nvidia’s Vera Rubin platform.
The relationship gives Nvidia a powerful role in OpenAI’s infrastructure expansion while giving OpenAI access to one of the world's leading suppliers of advanced AI computing hardware.
But that relationship also creates financial and strategic risks.
If Nvidia guarantees financing for a customer that subsequently uses the financing to purchase Nvidia hardware, investors could question whether demand is being driven entirely by independent market forces or partly supported by the supplier itself.
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| Source: Xpost |
Investors Are Watching AI Financing More Closely
The reduction in the Ohio guarantee comes amid growing scrutiny of the financing structures supporting the AI boom.
Nvidia has increasingly moved beyond simply selling GPUs. The company has been working with major financial institutions to develop financing platforms that could mobilize more than $500 billion for AI infrastructure and computing purchases.
The initiative involves major financial firms including BlackRock, Blackstone, Brookfield, Apollo Global Management, Goldman Sachs and KKR. The goal is to make it easier for AI companies and infrastructure developers to finance expensive computing projects.
The strategy could help accelerate AI deployment, but it also means Nvidia is becoming increasingly connected to the financial structures supporting its customers.
That has raised questions among investors about credit risk, customer concentration and whether some AI infrastructure projects could become difficult to justify if expected returns fail to materialize.
OpenAI Still Needs Massive Computing Capacity
For OpenAI, the need for additional computing power remains substantial.
The company operates some of the world's most heavily used AI systems and is competing to develop increasingly powerful models. Demand for computing resources has grown alongside the adoption of ChatGPT and OpenAI's enterprise products.
Building dedicated infrastructure could eventually give OpenAI more control over its computing capacity and reduce its dependence on external cloud providers.
The Ohio project could therefore become an important part of OpenAI's long-term infrastructure strategy.
But financing a project of this scale presents challenges.
The company must secure enormous amounts of capital while demonstrating to investors and lenders that future AI revenue can support the cost of the infrastructure being built today.
Nvidia’s Decision Signals a More Cautious Approach
The decision to reduce the guarantee does not necessarily indicate that Nvidia has lost confidence in OpenAI or in the long-term AI market.
Instead, it may reflect a more cautious approach to balance-sheet exposure.
A $250 billion guarantee would have been an extraordinary commitment for a chip manufacturer, even one with Nvidia’s enormous market capitalization and cash generation.
Reducing the backstop to below $120 billion allows Nvidia to remain deeply involved in the project while limiting the amount of risk it takes on during the initial development phase.
The revised arrangement could also give investors greater visibility into how much capital the project actually requires before Nvidia considers expanding its support.
@coinbureau Highlights the Broader AI Financing Debate
The development has also attracted attention from @coinbureau, which has discussed the increasingly interconnected financing relationships between Nvidia, OpenAI and other companies building AI infrastructure.
The issue is becoming a larger part of the AI investment debate because major technology companies are increasingly both customers and financial partners within the same ecosystem.
Nvidia sells the chips that power AI systems, invests in AI companies and is now helping develop financing structures that enable customers to purchase more of its hardware.
That model can accelerate growth, but it also requires investors to carefully evaluate the underlying economics of AI demand.
What Happens Next for the Ohio Data Center?
The revised guarantee does not mean the Ohio project has been abandoned.
OpenAI is still expected to pursue the full 10-gigawatt campus, while the initial five-gigawatt phase could provide a more manageable starting point.
SB Energy remains responsible for developing the project, while Nvidia is expected to supply the computing technology required for the facility.
A separate arrangement involving financing for Nvidia hardware at the site has also been discussed, potentially involving hundreds of billions of dollars in purchases over time.
The ultimate scale of the project will depend on financing, construction, power availability and OpenAI’s ability to generate enough revenue to support the enormous infrastructure investment.
For Nvidia, the latest adjustment represents a delicate balance.
The company has every incentive to help customers expand AI capacity because greater infrastructure spending creates demand for its processors and networking technology.
At the same time, taking too much financial risk could expose Nvidia to losses if AI infrastructure spending slows or expected returns fail to materialize.
The decision to cut the proposed Ohio guarantee from $250 billion to less than $120 billion therefore represents more than a change in financing terms.
It is another sign that the AI infrastructure boom is entering a more scrutinized phase, where investors are asking not only how much computing the industry can build, but also who will ultimately pay for it.
For OpenAI, the Ohio project remains a critical piece of its ambitions to secure massive amounts of computing power.
For Nvidia, the reduced guarantee could provide a way to support that expansion without taking on the full financial risk originally contemplated.
And for investors, the development offers another reminder that the next phase of the AI boom will be shaped not only by technology, but by capital, credit and the economics of building some of the largest computing facilities ever conceived.
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Victoria Hale is a writer focused on blockchain and digital technology. She is known for her ability to simplify complex technological developments into content that is clear, easy to understand, and engaging to read.
Through her writing, Victoria covers the latest trends, innovations, and developments in the digital ecosystem, as well as their impact on the future of finance and technology. She also explores how new technologies are changing the way people interact in the digital world.
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