Nvidia Reportedly Agrees to Buy Hugging Face for $12.9B

Introduction

Nvidia has reportedly agreed to buy Hugging Face for $12.9 billion, according to a person with knowledge of the deal cited by The Information on August 27, 2026. The report names a specific buyer and a specific price for the first time, sharpening the picture Evermx covered on August 25, when Business Insider reported that Hugging Face was fielding acquisition interest from an unnamed party at a valuation above $13 billion. CNBC followed within hours, reporting that a source familiar with the matter could confirm an acquisition by Nvidia had been part of "ongoing and recent talks." TechCrunch, reporting a day earlier on August 26, said the discussions had not yet produced a signed agreement and cautioned the deal could still fall apart. Neither Nvidia nor Hugging Face has responded to requests for comment from CNBC or otherwise confirmed the deal publicly.

That distinction matters. This is not a completed acquisition. It is a reported, unsigned agreement-in-principle, sourced primarily to one outlet, with a second outlet independently describing the same underlying talks as ongoing but unfinished.

Deal Overview

According to The Information, talks between Nvidia and Hugging Face began after Hugging Face had already received acquisition interest from a separate, unnamed suitor. That detail lines up with Business Insider's August 23 report of inbound interest from an undisclosed party, though The Information does not say the two are the same buyer. What changed between August 25 and August 27 is specificity: a named acquirer, a named price, and a characterization of "agreed" rather than "exploring."

The reported $12.9 billion price is roughly 2.9 times Hugging Face's $4.5 billion post-money valuation from its 2023 Series D round, which raised $235 million. It also represents a sharp reversal from Nvidia's own prior approach to the company. Hugging Face previously turned down a reported roughly $500 million investment from Nvidia in late 2025 that would have valued the company near $7 billion. Nvidia is now reportedly attempting a full acquisition at nearly double that earlier valuation.

Hugging Face's underlying business has also grown in the interim. TechCrunch has reported the company's annual revenue at roughly $150 million, up from about $100 million just two months earlier. That trajectory, alongside the platform's position as the default hosting layer for open-weight models, datasets, and demo Spaces, is part of what has driven competing acquisition interest in the first place.

Nvidia's Strategic Rationale

As reported, Nvidia's interest reflects several strategic considerations rather than a single motive. First, a thriving open-source model ecosystem gives Nvidia's customers alternatives to the largest closed AI labs, several of which are now building their own custom silicon; keeping that ecosystem healthy helps protect demand for Nvidia's chips. Second, owning Hugging Face would give Nvidia a route back into cloud services after it scaled back its DGX Cloud offering, without rebuilding a customer-facing platform from scratch. Third, Hugging Face's existing customer base offers Nvidia a channel to offload committed compute capacity that currently sits unused.

The report also lands one day after Nvidia posted its Q2 fiscal 2027 results on August 26, 2026: revenue of $96.2 billion, up 106% year-over-year, with Data Center revenue of $89.0 billion, up 117% year-over-year. Nvidia guided to $108.0 billion in Q3 FY27 revenue, and its shares rose 4% in after-hours trading following the results. That scale of revenue growth provides context for why a $12.9 billion acquisition would be a large but not obviously constraining move for the company. It also follows Nvidia's roughly $20 billion licensing deal with AI chip startup Groq in December 2025, another example of Nvidia using its balance sheet to secure position across the AI stack rather than only through chip sales.

Speaking on CNBC's "Squawk Box Europe," fund manager Siddy Jobe of Eonopolis Exponential Technologies offered an interpretation of the fit: "I think Nvidia is very much a community, a platform-based company, and in that respect, I think Hugging Face fits perfectly within that. There is this five-layer cake from Nvidia, and foundational models are one of them." Jobe added that "it is clear that Nvidia wants to be integrated in the entire stack vertically, going from energy to foundational models and also to applications." That is an analyst's read on the reported deal's logic, not a confirmed statement of Nvidia's strategy.

Impact Analysis

For developers and companies that rely on Hugging Face to host and download open models, datasets, and Spaces, nothing changes today. No agreement is signed, and no product or governance commitments have been announced by either party. The practical question a completed deal would raise is the same one Evermx's August 25 coverage flagged: whether a platform that functions as a de facto public commons for open-weight AI can maintain that neutral role once owned by a company with direct commercial interests in compute, models, and cloud services.

Hugging Face's recent history adds a data point worth noting, separate from the acquisition talks. The company was recently at the center of a hacking incident, which CEO Clément Delangue attributed to engineering mistakes; he said Hugging Face used an Nvidia version of a Chinese open model to help resolve it. Speaking to CNBC in that context, Delangue said, "AI cybersecurity is going to become a huge market in the U.S. and in the world," and that "in this market, probably open models will be kings." Those comments were made about the security incident, not about the acquisition talks, but they illustrate that Hugging Face and Nvidia's technology stacks are already intertwined in day-to-day operations, independent of any deal.

Pros and Cons

Pros:

• A named buyer and a specific $12.9 billion figure mark a significant escalation from the earlier unnamed-buyer report, giving the market a concrete reference point to evaluate
• A deal at this scale would validate Hugging Face's position as the default distribution layer for open-weight models, drawing more attention to the broader open-source AI ecosystem
• Nvidia's reported rationale, protecting its chip position, regaining a cloud foothold, and offloading committed compute, points to strategic rather than purely speculative motivation
• Nvidia's Q2 FY27 results, including $96.2 billion in quarterly revenue up 106% year-over-year, show clear financial capacity to complete a deal of this size

Cons:

• No signed agreement exists yet; TechCrunch reported the talks could still fall apart, and neither Nvidia nor Hugging Face has confirmed the deal publicly
• The $12.9 billion figure and the "agreed to buy" characterization trace to a single source cited by The Information, a paywalled outlet, and have not been independently corroborated with the same specificity elsewhere
• If the deal closes, ownership by Nvidia, a company with direct commercial interests in AI compute and models, raises open questions about the continued neutrality of a platform many competing labs and developers rely on
• Nvidia previously offered Hugging Face a smaller roughly $500 million investment that was declined over influence concerns, pointing to past friction between the two companies on governance that a full acquisition would need to resolve

Outlook

If the reported terms hold and a signed agreement follows, this would be one of the largest acquisitions to date in the AI open-source space, and it would tie two of the industry's most consequential distribution layers, chips and open-weight models, under one owner. It would also mark Nvidia's second attempt to secure a relationship with Hugging Face after its smaller investment offer was declined less than a year earlier, at roughly 1.8 times the earlier proposed valuation. Whether the deal is finalized will likely depend on terms not yet reported, including any commitments Nvidia might make about keeping Hugging Face's hosting and model-distribution functions open to competing hardware and software providers. Until a signed agreement and public confirmation from both companies arrive, those questions remain open.

Conclusion

The Information's report that Nvidia has agreed to buy Hugging Face for $12.9 billion is the most specific version yet of a sale process Evermx first covered on August 25, but it is still a reported, unsigned deal rather than a confirmed transaction. CNBC's sourcing supports that talks are real and recent; TechCrunch's reporting makes clear no signature has been added and the outcome is not settled. For AI industry watchers, the figures and rationale reported so far are worth tracking closely, but any conclusions about what Nvidia ownership would mean for Hugging Face's open, platform-neutral role should wait for a confirmed agreement from both companies.

Editor's Verdict

Nvidia Reportedly Agrees to Buy Hugging Face for $12.9B earns a solid recommendation within the IT news space.

The strongest case for paying attention: a named buyer and a specific $12.9 billion figure mark a significant escalation from the earlier unnamed-buyer report, giving the market a concrete reference point. That alone raises the bar for what readers should expect in this space. Reinforcing that, a deal at this scale would validate Hugging Face's position as the default distribution layer for open-weight models, drawing more attention to the open-source AI ecosystem — practical value rather than just headline appeal. The broader signal worth registering is straightforward: naming both the buyer and the price turns last week's unnamed-suitor report into a concrete, evaluable transaction, albeit still an unsigned one. On the other side of the ledger, one constraint is real rather than a marketing footnote: no signed agreement exists yet; TechCrunch reported the talks could still fall apart, and neither Nvidia nor Hugging Face has confirmed the deal publicly. It should factor into any serious decision. Layered on top of that, the $12.9 billion figure and the "agreed to buy" characterization trace to a single source cited by The Information, a paywalled outlet, and have not been independently corroborated with the same specificity elsewhere — which narrows the set of teams for whom this is an obvious yes.

For AI industry watchers, strategy teams, and decision-makers tracking platform shifts, this is a serious evaluation candidate, not just a curiosity to bookmark. For everyone else, the safer posture is to monitor coverage and revisit once the use cases that matter to your team are demonstrated in the wild.