Chip giant Nvidia’s plan to invest up to $100 billion in OpenAI once pitched as one of the largest deals in tech history has stalled, according to a report citing people familiar with the matter. The arrangement announced last September was intended to pair Nvidia’s AI-accelerator hardware with massive compute infrastructure investments at OpenAI, the company behind ChatGPT. But talks have now broken down amid internal debates within Nvidia and broader industry shifts.
Originally, the $100 billion figure was tied to a multiyear deployment of AI data center infrastructure potentially up to 10 gigawatts of computing power, roughly equivalent to the electricity usage of a major metropolitan area. The ambition of that plan reflected both the scale of modern generative AI workloads and the strategic importance of securing long-term compute demand.
Nvidia’s negotiations with OpenAI have not progressed beyond preliminary stages, and the original proposal has been reconsidered in light of several concerns. Part of the dispute stems from internal skepticism at Nvidia over the size and structure of the commitment, particularly given the unbound nature of the memorandum of understanding that underpinned the original plan. Chief executive Jensen Huang has emphasised privately that the letter of intent was non-binding and not finalized.
The deal’s supporters saw it as a way for Nvidia to lock in demand for its next-generation AI processors and systems, while giving OpenAI reliable access to the scale of compute it needs to train progressively larger and more complex AI models. However, in recent months, Nvidia executives reportedly raised questions about OpenAI’s business discipline and competitive pressures, such as rivalry from Google and Anthropic, which also deploy chips from diverse suppliers.
Nvidia’s Response: “Huge” Investment Still Possible
Despite the stalled plan around the headline $100 billion figure, Nvidia has moved quickly to quash narratives that the relationship with OpenAI is breaking down. Speaking to reporters in Taipei, Huang called suggestions that he was unhappy with OpenAI “nonsense.” He reiterated that Nvidia plans to make a “huge” investment in OpenAI likely its largest ever though not near the original $100 billion figure. Huang said Nvidia will participate in OpenAI’s ongoing funding round, and that his belief in OpenAI’s work remains strong.
In emphasising ongoing commitment, Huang aligned himself publicly with OpenAI chief Sam Altman, calling OpenAI “one of the most consequential companies of our time.” While not specifying a new dollar amount, Nvidia’s statements suggest a significant stake in OpenAI’s future is still expected, just not in the extreme form originally touted.
Why the $100 Billion Figure Matters
The original Nvidia-OpenAI plan captured attention because of its sheer scale: $100 billion would have dwarfed most corporate AI investments and signalled a long-term architectural commitment linking hardware supply with software development. If fully executed, the deal would have shaped compute infrastructure for generative AI for years to come.
The investment also aimed to guarantee Nvidia’s position as the preferred supplier of AI chips especially as demand surges for large language models and other advanced AI systems. Nvidia’s GPUs and AI accelerators have become central to the sector, but competition from cloud providers and alternative silicon designers has been increasing.
So when internal voices at Nvidia began questioning whether such a colossal bet made sense especially one framed around future purchases of Nvidia hardware by OpenAI, it triggered a strategic reevaluation that has now paused the headline-grabbing plan.
Nvidia is not the only major player circling OpenAI’s funding ambitions. As Nvidia rethinks a $100 billion commitment, other tech and investment groups are reportedly exploring substantial participation in OpenAI’s fundraising. Bloomberg and Reuters reports indicate that companies like Amazon are in talks to invest up to $50 billion, while investors such as SoftBank are weighing multibillion-dollar stakes as well.
OpenAI is targeting up to $100 billion in total funding backed by a valuation near $830 billion. That effort reflects the massive capital needed for future AI model development, massive data centers and global deployment. The potential involvement of multiple tech giants could lead to a more diversified capital base for OpenAI, rather than reliance on a single mammoth investor.
The slowdown in Nvidia’s $100 billion plan highlights several broader trends in the AI and semiconductor sectors:
- Compute cost challenges: Building and running AI systems at “gigawatt-scale” requires extraordinary levels of power, real estate, cooling and capital. Investors increasingly scrutinize such commitments.
- Competition dynamics: With rivals such as Google’s Tensor Processing Units and Anthropic’s partnerships with alternative hardware, Nvidia’s dominance faces competitive pressures that make single-partner mega-deals more complex.
- Corporate risk tolerance: Even industry leaders are cautious about locking into multidecade, multibillion-dollar investment deals that hinge on future technological dominance and profitability.
Rather than abandoning collaboration, Nvidia appears to prefer structuring more nuanced, multi-partner arrangements around OpenAI’s growth trajectory. This could allow both companies to benefit from deep cooperation without over concentration of financial risk.
At this stage, Nvidia and OpenAI continue to collaborate on AI hardware and infrastructure, but the shape and scale of their financial partnership remain fluid. Nvidia’s willingness to stay involved albeit on a potentially reduced scale suggests its strategic interest in generative AI’s future hasn’t waned. (
OpenAI’s pursuit of broader funding sources could diversify its support base and mitigate the reliance on any one investor, even as competition intensifies in the AI sector. Whether the two companies ultimately circle back to a reimagined investment plan or pivot to more modular deals, the evolving narrative underscores how even monumental headline figures can shift as corporate strategy and market conditions evolve.
Nvidia’s $100 billion OpenAI investment plan has stalled due to internal concerns and competitive pressures, but both companies still aim to maintain strategic ties and Nvidia’s largest ever investment in OpenAI may still materialize, just in a restructured form.
