# Huang’s Exit Tests Nvidia’s Open-Source Ambitions as Hugging Face Deal Stays Alive

Published 2026-11-12T17:54:15+00:00 · Updated 2026-11-12T17:54:15+00:00 · By superintelligencenews@gmail.com
Canonical: https://superintelligencenews.com/companies/ai-startups/open-source-ai-deal-huang-exit-hugging-face/

> Nvidia’s planned acquisition of Hugging Face remains on track after Jensen Huang resigned as CEO on Nov. 12, but the leadership change raises fresh questions about the company’s open-source AI strategy. The deal is still expected to close in the first half of 2027, though regulatory scrutiny and board upheaval could complicate the path.

## Key facts

- Nvidia announced a plan to acquire Hugging Face for $12.9 billion in September 2026.
- WIRED reported that Jensen Huang resigned as Nvidia CEO effective immediately on Nov. 12, 2026.
- WIRED said Nvidia’s board named Colette Kress interim CEO after Huang’s resignation.
- TechCrunch said the Hugging Face acquisition is still expected to close in the first half of 2027.
- Crypto Briefing said Hugging Face serves more than 20 million builders and hosts about 3 million models and 500,000 datasets.
- TechCrunch reported that Huang coauthored a July open-model policy letter signed by 25 companies.

Nvidia’s plan to buy Hugging Face remains on track even after Jensen Huang resigned as chief executive on Nov. 12, but the leadership shake-up has thrown fresh uncertainty over one of the company’s biggest bets on open-source AI. Clément Delangue says Hugging Face will keep pushing open-source development despite the upheaval.

 

The deal matters because Hugging Face sits at the center of the open-model ecosystem, while Nvidia has become the dominant supplier of chips powering the AI boom. The question now is whether Huang’s departure changes how aggressively Nvidia pursues that strategy, and whether regulators or new leadership alter the terms or timing of the acquisition.

 

## What happened

 

According to WIRED, Nvidia’s board named Colette Kress interim chief executive after Huang resigned effective immediately on Nov. 12. TechCrunch and Crypto Briefing reported that the Hugging Face acquisition is still expected to close in the first half of 2027, even after the sudden leadership change.

 

The pending purchase was first announced in September, when Nvidia said it would buy Hugging Face for $12.9 billion, a figure Crypto Briefing places at $12.93 billion. Either way, the transaction would be a major expansion of Nvidia’s already deep role in the open-source AI stack.

 

Delangue responded publicly on Nov. 12 and cast the situation as a blow to the broader open-source community, while also signaling that Hugging Face’s direction will not change. In his post to X, he said:

> we’ll keep fighting for open-source AI, harder than ever.

 

## Why it matters

 

This is not just a routine CEO transition. Nvidia’s deal for Hugging Face sits at the intersection of AI infrastructure, platform power, and the debate over who should control foundational models. Hugging Face is a major hub for open-source AI models, datasets, and developer collaboration, so any shift in ownership or strategy could ripple across research teams, startups, and enterprise builders that depend on its tooling.

 

The acquisition also arrives against a background of intensifying U.S. antitrust and competition scrutiny around large AI deals. TechCrunch said Reuters reported Department of Justice inquiries into the transaction’s competition effects in October, which suggests the deal was already under a regulatory spotlight before Huang’s resignation.

 

For Nvidia, the stakes are strategic as well as financial. The company has been trying to position itself not only as the chipmaker behind AI, but also as a supporter of open-weight systems that can be downloaded, studied, and run by others. If the Hugging Face deal is meant to cement that posture, the leadership change raises a simple question: who will now define the company’s next phase of open-source AI ambitions?

 

## How did Nvidia get here?

 

The short answer is that Nvidia spent the past several months building a more explicit case that open models should have a central place in the AI market. Huang coauthored a July open-model policy letter signed by 25 companies, including Microsoft, Meta, Hugging Face and IBM. The letter urged less restriction on open-weight models, a position that aligned with Nvidia’s growing public support for open-source AI.

 

That advocacy was not limited to policy language. TechCrunch reported that Nvidia backed a $6 billion Poolside deal in August to help build a U.S. open AI ecosystem. Last month, the company also expanded its Nemotron open-weight models with a 120-billion-parameter model and two Bolt models. Taken together, those moves show a company trying to shape both the infrastructure and the software layer of open AI.

 

The Hugging Face deal became the most visible piece of that effort. TechCrunch said Nvidia announced the acquisition in September, and Crypto Briefing noted that the platform already serves more than 20 million builders, with about 3 million models and 500,000 datasets on the service. That scale helps explain why the acquisition drew immediate attention from both the market and regulators.

 

### Open-source AI at the center

 

Open-weight and open-source models can be downloaded, modified, and run by other people or organizations, unlike closed systems controlled entirely by one vendor. That openness can lower barriers for developers, but it also creates tension over safety, commercial advantage, and platform control.

 

Nvidia has repeatedly argued that the open model ecosystem has value beyond ideology. Huang wrote that “Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty.” The company’s own public messaging, as reported by TechCrunch, said Hugging Face would preserve open support under the deal.

 

Crypto Briefing added a further detail: Nvidia pledged that Hugging Face would remain open, independent, and compute-agnostic, with the founders and team set to join Nvidia under the deal terms. That phrasing matters because it suggests a promise to preserve the platform’s identity even while folding it into a much larger corporation.

 

## What changed on Nov. 12?

 

According to WIRED, Huang’s resignation followed an internal board investigation that began on Nov. 8. WIRED also reported that the resignation followed allegations tied to an affair with Alice Huang and a separate alleged relationship with a direct report. A source cited by WIRED said the subordinate relationship and Megaspeed dealings likely weighed more than espionage claims in the ouster.

 

That reporting introduces a separate layer of uncertainty. The issue is no longer just whether Nvidia wants Hugging Face or whether regulators approve the transaction. It is also whether the company’s board, under new leadership, wants to keep prioritizing the same policy and product direction that Huang championed publicly.

 

WIRED said the board named Colette Kress interim chief executive and that the board will consider internal and external candidates. That means Nvidia is entering a search period at the same time it must preserve confidence in its acquisition strategy, its relationship with regulators, and its broader AI narrative.

 

| Event | Date | What happened | Source |
| --- | --- | --- | --- |
| Open-model policy letter | July 24, 2026 | Huang posted the open-model policy letter on X | TechCrunch |
| Poolside deal | August 2026 | Nvidia announced a $6 billion investment deal | TechCrunch |
| Hugging Face acquisition | September 3, 2026 | Nvidia announced its plan to acquire Hugging Face | TechCrunch |
| DOJ inquiries | October 2026 | Reuters reported competition-related inquiries | TechCrunch |
| Board investigation | Nov. 8, 2026 | Nvidia board announced an internal investigation into Huang | WIRED |
| CEO resignation | Nov. 12, 2026 | Huang resigned as CEO effective immediately | WIRED |
| Open-source response | Nov. 12, 2026 | Delangue said Hugging Face would keep fighting for open-source AI | TechCrunch |

 

## How does the deal fit Nvidia’s broader AI strategy?

 

It fits as the latest evidence that Nvidia is trying to be more than a hardware vendor. The company already controlled about 90 percent of the GPU market as of September 2026, according to WIRED, giving it outsized influence over the economics of AI training and inference.

 

That dominance makes the Hugging Face acquisition especially notable. If Nvidia owns the most prominent distribution layer for open models while also controlling the chips those models run on, the company could shape how open-source AI is built, deployed, and monetized across the industry.

 

TechCrunch framed the transaction as potentially Nvidia’s second-largest acquisition, behind what it described as a $20 billion purchase of Groq assets in December 2025. Even by the standards of a company that has become one of the most valuable in the AI sector, the scale is extraordinary.

 

### By the numbers

 

Here is the scale of the story in plain terms:

 

- **$12.9 billion** — Nvidia’s announced purchase price for Hugging Face.
- **$12.93 billion** — the valuation Crypto Briefing cited for the deal.
- **3 million models** — Hugging Face’s model count, according to Crypto Briefing.
- **500,000 datasets** — the dataset count on Hugging Face, according to Crypto Briefing.
- **20 million+** — builders on the platform by early Nov. 2026, according to Crypto Briefing.
- **90 percent** — Nvidia’s GPU market share as of September 2026, according to WIRED.

 

## Where do the reports differ?

 

The broad outline is consistent across the outlets: Huang is out, Kress is interim CEO, and the Hugging Face deal is still expected to proceed. But the reporting differs in the details that matter most to readers trying to understand the business.

 

First, the deal value is reported slightly differently. TechCrunch said Nvidia announced a $12.9 billion purchase, while Crypto Briefing put the valuation at $12.93 billion. That gap is small, but it shows how financial reporting can vary depending on whether a story uses the rounded announced price or a more exact valuation.

 

Second, the emphasis around the CEO’s departure differs. WIRED focused on the board investigation and alleged relationships, while TechCrunch centered the implications for open-source AI. Both are part of the same story, but they point to different consequences: governance risk on one side, strategic continuity on the other.

 

Third, the outlets frame the deal’s posture slightly differently. TechCrunch said Nvidia pledged Hugging Face would preserve open support, while Crypto Briefing added that the platform would stay open, independent, and compute-agnostic. Those are related assurances, but the additional language from Crypto Briefing suggests a stronger commitment to operational neutrality.

 

## What happens next?

 

The immediate next step is leadership continuity. Colette Kress is serving as interim CEO while the board considers internal and external candidates, according to WIRED. That search will matter not just for corporate governance but for how Nvidia communicates with regulators, investors, and the open-source community.

 

The other major question is the deal itself. TechCrunch said the Hugging Face acquisition is still expected to close in the first half of 2027, but that timeline could be affected by regulatory scrutiny, board changes, or any shift in strategy under new leadership. The Department of Justice inquiries reported in October are another variable to watch.

 

There is also a messaging issue. Will Nvidia continue to publicly champion open-source and open-weight AI with the same intensity now that Huang is gone? Will Kress or another incoming leader restate the company’s position on Hugging Face’s independence? Those answers will shape how developers and competitors interpret the acquisition.

 

And for Hugging Face, the test is whether the platform can preserve the trust of the builders who made it valuable in the first place. Delangue has already made his position clear: he wants the company to keep fighting for open-source AI. The harder part will be doing that while waiting for a giant acquisition to clear and a major corporate leadership transition to settle.

 

## Background: the politics of open models

 

To understand why this deal drew so much attention, it helps to look at the broader politics around open models. Over the past year, large AI companies and chipmakers have been arguing over how much freedom model developers should have to inspect, modify, and redistribute the systems they build on.

 

That debate is partly technical and partly commercial. Open-weight models can accelerate research, lower the cost of entry for startups, and support national or organizational sovereignty. But they can also weaken the grip of companies that prefer tightly controlled, paid products. Nvidia’s public support for open models placed it on one side of that debate, even as it remained the company most directly benefitting from surging AI hardware demand.

 

The July policy letter mattered because it showed the company was not acting alone. With 25 signatories, including Microsoft, Meta, Hugging Face and IBM, the letter framed open models as a mainstream position rather than a fringe preference. That gave Nvidia a broader coalition and made its later Hugging Face bid look less like a one-off acquisition than part of a coordinated push.

 

Now, though, the issue is whether that coalition can survive a sudden change at the top. Huang had been one of the most visible corporate advocates for open-weight AI. If the company continues down the same path, that will suggest the strategy is institutional rather than personal. If it wobbles, the acquisition may look less like a platform bet and more like a founder-driven project that lost momentum.

 

## Bottom line

 

Nvidia’s Hugging Face acquisition is still in motion, but Jensen Huang’s resignation has turned a major AI deal into a bigger test of governance, regulation, and strategic continuity. The transaction’s fate now depends on whether Nvidia’s new leadership keeps faith with the open-source vision that helped justify it in the first place.

## Frequently asked questions

### Why is Nvidia buying Hugging Face important?

It matters because Hugging Face is a major hub for open-source AI models and datasets, while Nvidia dominates AI chips. The deal could give Nvidia influence over both the infrastructure and the distribution layer of open-weight AI.

### Did Jensen Huang’s resignation cancel the Hugging Face deal?

No, the deal is still expected to close in the first half of 2027, according to TechCrunch. Huang’s resignation creates uncertainty, but the acquisition remains in play for now.

### Who is running Nvidia after Huang resigned?

Colette Kress is serving as interim CEO, according to WIRED. The board said it will consider internal and external candidates for the permanent role.

### Why are regulators paying attention to the deal?

Regulators are watching because the transaction combines a dominant chip supplier with a major open-source AI platform. TechCrunch said Reuters reported DOJ inquiries in October over the deal’s competition effects.

### What does Hugging Face say about open-source AI after the announcement?

Clément Delangue said the company will keep pushing open-source AI despite the leadership upheaval. He also said, “we’ll keep fighting for open-source AI, harder than ever.”

## Sources

- [TechCrunch](https://techcrunch.com/2026/11/12/hugging-face-ceo-vows-to-keep-fighting-for-open-source-ai-after-jensen-huangs-exit/)
- [WIRED](https://www.wired.com/story/nvidia-ceo-jensen-huang-steps-down/)
- [Crypto Briefing](https://cryptobriefing.com/hugging-face-ceo-open-source-huang-exit/)