Nvidia Signals The End Of Massive Funding Rounds For OpenAI
The era of wide-open checkbooks from Nvidia for the world’s most prominent AI labs appears to be closing.
During a recent appearance at the Morgan Stanley Technology, Media & Telecom Conference on 4 March 2026, Nvidia CEO Jensen Huang suggested that the chipmaker’s recent $30 billion injection into OpenAI might be its final contribution before the startup transitions to the public market.
This move effectively downscales a previously discussed $100 billion infrastructure pact, signaling a shift in how the industry’s most valuable hardware provider manages its strategic bets.
Is OpenAI Heading For An Initial Public Offering
The primary driver behind this funding cap is the anticipation of OpenAI’s debut on the stock market.
Huang clarified that the massive $100 billion figure floating around since last September is "not in the cards."
He explained that the landscape has changed because the company is preparing to go public, potentially by the end of 2026.
Huang noted,
“The reason for that is because they’re going to go public.”
He added,
"This might be the last time we will have the opportunity to invest in a consequential company like this."
This pivot comes as OpenAI recently concluded a $110 billion funding round, valuing the firm at $730 billion, which saw $50 billion from Amazon and $30 billion from SoftBank alongside Nvidia’s contribution.
Why Is Nvidia Cooling Its Interest In Anthropic
OpenAI is not the only AI darling seeing a tightening of purse strings.
Huang confirmed that Nvidia’s $10 billion investment in Anthropic, a key rival and the creator of the Claude platform, is also expected to be its last.
Much like OpenAI, Anthropic has been laying the groundwork for its own IPO.
While Nvidia previously touted these partnerships as foundational, the company’s recent filings have been more cautious.
In February, Nvidia warned there was “no assurance” of further agreements, mirroring a January report that the expansive partnership with OpenAI was essentially “on ice.”
Can Sam Altman Navigate The Pentagon Backlash
While Huang focused on the balance sheets, OpenAI CEO Sam Altman faced internal and external friction regarding military contracts.
Following an announcement that OpenAI products would be used by the Pentagon, user uninstalls of ChatGPT reportedly surged by 200%.
Altman stood firm during a meeting with employees, telling staff,
“You do not get to make operational decisions.”
He further illustrated the company's lack of control over specific military outcomes by saying,
“So maybe you think the Iran strike was good and the Venezuela invasion was bad. You don’t get to weigh in on that.”
What Changes Are Being Made To AI Guardrails
To address the outcry and ethical concerns from AI researchers, OpenAI has introduced new restrictive terms for its government contracts.
These updates aim to prevent the technology from being used for domestic surveillance of US nationals and require specific contract modifications before agencies like the NSA can deploy the systems.
Altman admitted on X that the initial rollout of the Pentagon deal was "opportunistic and sloppy" and that the company had rushed the communication.
Acknowledging the difficulty of balancing national defense needs with the company's safety standards, he wrote,
“The issues are super complex, and demand clear communication.”
How Will Inference Capacity Shape Future Growth
The relationship between these giants remains deeply physical.
As part of the latest deal, OpenAI has secured 3 gigawatts of dedicated inference capacity and 2 gigawatts of training capacity on Nvidia’s Vera Rubin systems.
As the industry moves from training massive models to "inference", the stage where models answer user queries, Nvidia is reportedly tailoring new chips for this specific task.
Despite the funding limits, Huang remains bullish on the broader sector, remarking that "the industry is only at the beginning of a large growth run" and cheekily noting of his company’s performance, "We just had the best earnings of earnings in the history of earnings."
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