Nvidia Offers Up to $105B for Ohio AI Campus, Pushing Further Into Customer Finance
The support package and a separate $500 billion capital target put Nvidia closer to the projects that buy and run its systems. The open question is whether that added financing exposure improves the AI buildout without weakening investors’ view of its earnings.
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3 key pointsNvidia is using its balance sheet to help finance an expected OpenAI-leased 8-gigawatt Ohio data-center campus, offering up to $105 billion in credit support and residual-value guarantees tied to the infrastructure. The move broadens its role beyond GPU sales, following a reported $30 billion OpenAI investment and a push to mobilize institutional capital for additional AI facilities. Nvidia’s proposed $500 billion...
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Nvidia’s Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR partnerships target $500 billion in private AI-infrastructure capital; deployment is unspecified.
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Nvidia invested $2 billion in CoreWeave and plans to cooperate on more than five gigawatts of AI data-center capacity.
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Nvidia is projected to generate about $150 billion in fiscal 2027 free cash flow, supporting continued infrastructure financing.
Nvidia has agreed to provide up to $105 billion in credit support and residual-value guarantees for an 8-gigawatt AI campus in Pike County, Ohio. The PORTS Technology Campus is expected to be leased by OpenAI and run exclusively on Nvidia AI infrastructure, placing the chipmaker’s financial support alongside a major customer deployment.
The arrangement centers on SB Energy’s PORTS Technology Campus. Its reported structure matters: Nvidia is not merely supplying equipment to the site, but committing credit support and guarantees tied to the value of the infrastructure.
It follows a reported $30 billion Nvidia investment included in OpenAI’s $110 billion capital raise earlier this year. Together, the investment and the Ohio support package extend Nvidia’s role from supplying compute into financing the companies and facilities that use it.
Institutional capital is the next layer
Nvidia has also partnered with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR to establish independent compute-financing platforms. The group aims to deploy $500 billion in private capital for AI data centers and AI factories; that is a target for future investment, not capital already deployed.
The strategy reaches beyond GPUs
Bank of America semiconductor analyst Vivek Arya said Nvidia management is focused on securing chip supply, land, power and infrastructure for frontier labs and neoclouds, or specialized AI cloud providers. Arya described those customers as disruptive and non-investment-grade, and said GPU rental rates, scarce compute and Nvidia’s free-cash-flow generation make the approach worthwhile.
Other pieces around the buildout
- Nvidia invested $2 billion in CoreWeave, with the companies planning to cooperate on more than five gigawatts of AI data-center capacity.
- It invested in Emerald AI, whose software focuses on improving data-center energy efficiency.
- It participated in nearly 67 AI venture-capital transactions over the preceding 12 months.
Cash makes the strategy possible; risk remains
Nvidia is projected to generate about $150 billion in free cash flow in the fiscal year ending January 2027, while its gross margin is around 75%, according to the Washington Examiner. That financial capacity supports a loop in which proceeds from AI infrastructure sales can be reinvested in model companies, AI clouds and data-center builders that may buy or operate Nvidia systems.
Arya warned that investments in frontier labs and neoclouds could lower earnings quality and depress Nvidia’s valuation multiple. Goldman Sachs analyst James Schneider identified measured financing outlays, improved hyperscaler profitability and strong capital returns as evidence investors would want to see for further stock rerating.
Sources
- finance.yahoo.comNvidia's attack plan: Dominate every single aspect of AI - Yahoo Finance
- washingtonexaminer.comNvidia is the engine of the AI revolution