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Nvidia Swaps Complex Partnership for Simpler Equity Investment

By Morgan Ellis · Saturday, February 21, 2026
Finn's Take· TL;DR
  • Nvidia abandons $100 billion decade-long partnership with OpenAI for simpler $30 billion equity investment instead.
  • OpenAI ditched Nvidia hardware over performance issues with coding tasks, expanding partnerships with AMD and others.
  • Cleaner equity structure reduces Nvidia's risk exposure while preserving commercial relationship as OpenAI pursues $100+ billion funding round.
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From Complicated to Clean

Nvidia is close to finalizing a $30 billion equity investment in OpenAI, replacing a previously announced $100 billion multiyear partnership that never progressed beyond a preliminary agreement . The dramatic restructuring transforms what was once hailed as a groundbreaking decade-long commitment into something far more straightforward: a $30 billion lump-sum investment that gives Nvidia a significant equity position in the most valuable private AI company on earth without the open-ended financial commitment of a decade-long partnership .

The earlier arrangement, announced in September as a letter of intent, aimed at Nvidia investing in 10 installments of $10 billion over several years, with OpenAI planning to deploy up to 10 gigawatts of new computing capacity and purchase millions of Nvidia's AI processors . The deal never materialized, even though it had driven Nvidia's market value past the $5 trillion mark, with Nvidia executives raising internal doubts about the scale of the investment .

What Went Wrong

OpenAI had become dissatisfied with the performance of Nvidia's hardware for certain types of inference tasks, especially coding-related workloads, with specific concerns about speed for products like Codex, OpenAI's coding model . The collapse coincides with OpenAI expanding its hardware supplier base beyond Nvidia, including a major partnership with AMD to secure up to six gigawatts of computing capacity using AMD's Instinct MI450 chips .

Analysts had flagged the feedback loop at the time, warning that it resembled the kind of self-reinforcing capital structures that have historically preceded market corrections . The circularity was always the vulnerability: Nvidia would invest in OpenAI, OpenAI would spend the money on Nvidia chips, Nvidia's revenue growth would justify its valuation, and its valuation would justify the investment in OpenAI .

The New Reality

This investment forms part of a larger funding round expected to raise more than $100 billion for OpenAI, valuing the company at $730 billion, excluding the fresh capital being raised . The funding round includes other major investors, with SoftBank in final negotiations to invest $30 billion, while Amazon could invest up to $50 billion as part of a broader partnership .

OpenAI will reinvest much of the proceeds into Nvidia hardware, preserving the commercial relationship between the companies, as the AI developer relies heavily on Nvidia's advanced chips to train and run large language models, including ChatGPT . OpenAI's revenue has closely tracked its computing capacity, with the company reporting annualized revenue of more than $20 billion, while its access to computing power and revenue have each roughly tripled annually .

Market Implications

US technology stocks have fallen 17 percent since the start of 2026, driven partly by concerns about AI valuations and sector concentration . For Nvidia, the simpler structure reduces exposure to a scenario in which OpenAI's growth slows, compute requirements plateau, or alternative chip architectures erode its dominance .

The shift signals broader changes in how AI megadeals are being structured. Rather than complex, multi-year commitments that create circular dependencies, investors are gravitating toward cleaner equity arrangements that offer upside without the operational entanglements. This approach provides both companies more flexibility as the AI landscape continues evolving at breakneck speed, while still maintaining their crucial partnership in the race to build artificial general intelligence.

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