TITLE: Nvidia Backs OpenAI's $500 Billion Ohio AI Campus DATE: 2026-07-28 COMPANY: OpenAI TOPIC: AI Infrastructure SUMMARY: Nvidia is in talks to provide a $250 billion financial guarantee so OpenAI can lease a 10-gigawatt AI campus being built by SoftBank in Piketon, Ohio, on the site of a former uranium enrichment plant. A separate deal for Nvidia to finance $350 billion in chip purchases is also under discussion, bringing the potential total commitment to $600 billion. If completed, the deal would be the largest financial guarantee between two private companies in history and would give OpenAI full independence from Microsoft, Amazon, and Oracle for AI compute. WHAT CHANGED: Nvidia is in advanced talks to provide a $250 billion financial guarantee so OpenAI can lease a 10-gigawatt AI campus being constructed by SoftBank's energy subsidiary, SB Energy, on federally owned land in Piketon, Ohio. The site was previously a uranium enrichment facility and sits roughly 50 miles south of Columbus. The guarantee structure exists because OpenAI has not yet turned a profit and cannot obtain an investment-grade credit rating on its own. By having Nvidia contractually underwrite the lease payments, OpenAI gains access to infrastructure it would otherwise be unable to finance. In a separate negotiation, Nvidia is also in discussions to finance up to $350 billion in chip purchases for the campus, meaning the total Nvidia commitment across both deals could approach $600 billion. Japan agreed to fund $33 billion in natural gas power infrastructure on the federal land as part of a broader trade deal with the US. The campus will generate 9.2 gigawatts of its own electricity, making it a vertically integrated AI factory: generating its own power and housing its own compute in a single complex. Combined capacity of 10 gigawatts would make it by far the largest single AI infrastructure project ever built. For OpenAI, the deal represents a strategic shift away from renting compute from Microsoft, Amazon, and Oracle. Owning its own infrastructure at this scale would give OpenAI direct control over costs, latency, and capacity allocation, without paying margin to hyperscale cloud providers. WHY IT MATTERS: The 10-gigawatt scale represents roughly 100 times the compute power of a typical large cloud data centre today, signalling that AI capacity is about to increase by an order of magnitude. OpenAI's dependence on Microsoft Azure has constrained its ability to compete on pricing with other providers. Infrastructure independence changes that equation. Nvidia guaranteeing the deal is a public statement that demand for AI compute will be sustained at a level that justifies the largest private financial guarantee in history. Japan's involvement in funding energy infrastructure shows that AI compute has become a geopolitical asset, not just a commercial one. Vertical integration of power and compute in one campus eliminates layers of cost that currently sit between AI providers and their customers. As capacity scales, unit costs for AI inference tend to fall. A project of this magnitude accelerates that trajectory significantly. DAVID & GOLIATH ANALYSIS: The headline number, $500 billion or more, is designed to impress. But the structural shift is more important than the dollar figure. OpenAI is trying to exit a landlord relationship with Microsoft that has given Microsoft leverage over OpenAI's pricing, data handling, and product roadmap. If this deal proceeds, OpenAI becomes an infrastructure company as well as a model company. That is significant for every business using ChatGPT or the OpenAI API, because the incentive structure changes: OpenAI's cost to serve each token drops, its margin control increases, and its ability to compete with Microsoft's own Copilot products on price improves. For lean businesses running on AI, the practical reading is this: the bet being placed is that AI inference costs will fall substantially as capacity scales. That should inform how you structure AI vendor relationships right now. Do not lock in long-term pricing at today's rates without exit options. Do not assume the model or provider that represents best value today will still be best value in 18 months. The broader message is simpler still. When a company that has never turned a profit is being backed by a $600 billion financial commitment from the world's most valuable chipmaker, the signal on AI's commercial trajectory is unambiguous. Build for a future where AI is cheap and abundant, not expensive and constrained. 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