Nvidia is in advanced talks to invest about 30 billion dollars in OpenAI as part of a record‑setting funding round that could exceed 100 billion dollars and value the ChatGPT maker at roughly 830 billion dollars, according to people familiar with the negotiations.
Nvidia is close to finalizing a 30 billion dollar investment in OpenAI that would replace a previously discussed long‑term commitment of up to 100 billion dollars announced last year. The deal, which could be signed as early as this weekend, would give the world’s most valuable chipmaker a direct equity stake in one of its largest customers and the most prominent name in generative artificial intelligence.
People briefed on the talks say the 30 billion dollars will be part of a mega fundraising in which OpenAI is seeking more than 100 billion dollars from a group of strategic and financial investors. The round is expected to value the San Francisco‑based company at about 830 billion dollars, cementing its status as one of the world’s most highly valued private technology firms.
The new structure marks a sharp scaling‑back of an earlier, highly ambitious plan in which Nvidia and OpenAI discussed a long‑term framework worth up to 100 billion dollars over several years. Under that earlier concept, Nvidia would have supplied vast amounts of AI computing systems over time, with an initial 10 billion dollar tranche tied to a definitive hardware purchase agreement.
That agreement “ended up taking much longer than both parties expected,” prompting the shift to a simpler 30 billion dollar equity‑style deal within OpenAI’s broader funding round. Industry reports suggest the revised plan reflects negotiations over hardware supply, delivery schedules and pricing, as well as a desire on both sides to lock in capital more quickly amid intensifying AI competition.
OpenAI’s latest capital raise is designed to bring in more than 100 billion dollars from a mix of big technology companies and global investors, making it one of the largest private capital hauls ever attempted in Silicon Valley. Much of the new money is expected to be reinvested directly into Nvidia’s high‑end AI chips and systems, which power the training and deployment of OpenAI’s large language models.
SoftBank Group and Amazon are among the parties expected to participate alongside Nvidia, according to earlier reports on the talks. The funding would follow OpenAI’s 6.6 billion dollar round in 2024, which valued the company at about 157 billion dollars and included major backers such as Microsoft, Nvidia, Thrive Capital and others. Since then, OpenAI’s valuation has surged on the back of rapid revenue growth, with internal forecasts previously pointing to 3.6 billion dollars in revenue and more than 5 billion dollars in losses in 2024, and a projected jump in revenue to over 11 billion dollars the following year.
For Nvidia, a 30 billion dollar investment would deepen its role at the center of the AI boom at a time when demand for its GPUs already dominates global data‑center spending. A direct stake in OpenAI would tighten the link between chip supplier and AI model developer, potentially reinforcing Nvidia’s ecosystem against rising competition from AMD, Intel and a growing wave of custom AI accelerators.
For OpenAI, the deal would provide a powerful signal of confidence from the company whose hardware underpins most of its products, even as the startup continues to rely on Microsoft for cloud infrastructure and distribution. The capital is expected to fund massive compute build‑outs, more advanced models and expanded AI services for both consumers and enterprises, at a time when regulators and rivals are scrutinizing the increasingly intertwined relationships among the largest AI players.
Analysts say the round also highlights a broader trend: AI developers, cloud platforms and chip providers are locking themselves into deeper financial and strategic alliances as they race to dominate the next generation of computing. If completed as outlined, Nvidia’s 30 billion dollar bet on OpenAI would stand as one of the clearest examples yet of how capital, compute and algorithms are converging at unprecedented scale in the AI industry.
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