Nvidia chief executive Jensen Huang is trying to put out a very specific kind of fire: the idea that he is frustrated with OpenAI and ready to walk away from a blockbuster funding deal. Speaking to reporters in Taipei, he dismissed that narrative as “nonsense” and said Nvidia is preparing what he described as a huge commitment to OpenAI’s next capital raise. The message is clear from his public comments: whatever the final number, he wants investors and customers to see Nvidia and OpenAI as strategically aligned rather than drifting apart.
At the same time, Huang is carefully managing expectations around the size and structure of that support. After weeks of speculation about a potential $100 billion package of cash and computing power, he has stressed that the eventual investment will be large by Nvidia’s standards but “nothing like” the eye‑popping figures that have circulated. The result is a delicate communications exercise, balancing enthusiasm for OpenAI with a more measured view of how much capital and capacity Nvidia can realistically deploy.
Huang’s “nonsense” rebuttal and the Taipei backdrop
Huang chose a very public setting to swat down talk of a rift, addressing reporters while Speaking in Taipei and insisting that claims he is unhappy with OpenAI are simply wrong. In that conversation, Nvidia CEO Huang emphasized that the company is preparing a “huge” investment in OpenAI’s latest fundraising round, framing the AI lab as one of the most consequential companies of the era. A separate account of the same exchange notes that Nvidia CEO Huang explicitly rejected the idea of personal friction and instead praised OpenAI’s role in driving demand for advanced chips.
That choice of venue matters. By speaking in Taipei, Taiwan, Huang was addressing not just investors but also the broader semiconductor ecosystem that underpins Nvidia’s hardware. He told reporters there that the planned commitment to OpenAI would probably be the largest investment Nvidia has ever made in another company, underscoring how central he believes OpenAI is to the future of AI workloads. A separate summary of his remarks in Recommended Stories also places his comments alongside broader debates about central bank policy, a reminder that Nvidia’s AI bets are now discussed in the same breath as macroeconomic shifts.
From $100 billion hype to “nothing like” that figure
The need for clarification arose after reports that Nvidia was backing away from a potential $100 billion package of funding and infrastructure for OpenAI. According to Key Points from that earlier framework, Nvidia and OpenAI had signed a non‑binding memorandum in September 2025 that envisioned up to that amount and 10 gigawatts of GPUs for OpenAI’s AI infrastructure. Those numbers quickly took on a life of their own, becoming shorthand for the scale of the partnership even though the document did not obligate Nvidia to deliver the full sum.
Huang has since tried to pull expectations back to earth. In one interview, he said the eventual investment would be “nothing like” US$100 billion, while still calling it the largest external investment Nvidia has ever contemplated. Another account of his comments notes that Huang told reporters, “We will invest a great deal of money,” and described the commitment as “huge,” while declining to give a precise figure.
Answering The Wall Street Journal and the “stalled” narrative
The immediate trigger for Huang’s pushback was a story that suggested Nvidia’s planned OpenAI investment had stalled and might be scaled back. According to one account, Huang responded directly after The Wall Street Journal reported that Nvidia was looking to reduce its exposure, using his Taipei visit to insist that the company still intends to participate. A related summary of the same episode notes that Wall Street Journal report landed on a Friday and framed Nvidia as reconsidering the scale of its commitment.
Huang’s counter‑narrative has been equally blunt in other venues. One analysis describes how Huang Slams Report a $100B OpenAI deal collapse, rejecting the idea that Nvidia is backing away from Ope and reiterating that the company still sees value in providing up to 10 gigawatts of computing infrastructure. Another account of the same dispute notes that Nvidia CEO Huang has told associates he still believes it is crucially important to provide OpenAI with financial support in one form or another, even if the structure of the original memorandum changes.
How big is “huge”? Inside Nvidia’s evolving commitment
While Huang has been careful not to lock himself into a headline number, he has confirmed that Nvidia will participate in OpenAI’s next funding round. A News Editor summary of his remarks notes that Nvidia CEO Jensen Huang has confirmed the chipmaker plans to contribute to OpenAI’s next funding round, while tempering expectations about the final tally. A second version of that report reiterates that Nvidia CEO Jensen is signaling participation but not endorsing the full $100 billion figure that has dominated headlines.
Other accounts flesh out how he is framing the scale. One report quotes Huang as saying, “We will invest a great deal of money,” and describing the commitment as “huge,” while another notes that Huang declined to specify how much the investment will be, even as he acknowledged it would probably be the largest Nvidia has made in another company. From my perspective, that combination of superlatives and vagueness suggests Nvidia is still negotiating the exact mix of equity, credits and infrastructure that will make up the final package.
Why OpenAI still matters to Nvidia’s strategy
Huang’s insistence that he is not unhappy with OpenAI is not just about public relations, it reflects how central OpenAI has become to Nvidia’s growth story. One detailed account of his comments in Taipei notes that Nvidia CEO Jensen Huang has signaled that the OpenAI round may be Nvidia’s largest yet, and that he sees it as “such a good investment” because of the demand it generates for high‑end GPUs. Another summary of his remarks in Debby Wu and Bloomberg’s coverage underscores that he is effectively treating OpenAI as both a customer and a showcase for Nvidia’s most advanced chips.
That logic also explains why Huang is so keen to rebut any suggestion that the relationship is souring. One analysis of the dispute over the $100B figure notes that Nvidia still sees value in providing up to $100 worth of infrastructure commitments in the form of GPUs and data center capacity, even if the cash component is smaller. Another account of the same dynamic notes that Huang has told people around him that supporting OpenAI remains “crucially important,” a phrase that, in my view, captures how tightly Nvidia’s fortunes are now tied to the success of the leading AI labs.
