What happened
NVIDIA announced a definitive agreement to acquire Hugging Face for approximately $12.9 billion, with the deal signed on September 2, 2026, and disclosed by CEO Jensen Huang on September 3. The acquisition, which includes $11.9 billion in shareholder payments and up to $1 billion in employee equity retention, marks NVIDIA's largest outright acquisition in company history. Hugging Face, a platform hosting over 3 million models and 18 million developers, had previously rejected a $500 million investment from NVIDIA in 2025 to maintain independence. The transaction is currently subject to regulatory review by the FTC, DOJ, and EU authorities, with completion targeted for the first half of 2027.
NVIDIA announced on September 3, 2026, that it will acquire Hugging Face for approximately $12.9 billion, a transaction signed on September 2, 2026. This is NVIDIA's largest outright acquisition and its second-largest transaction in history. The deal structure includes approximately $11.9 billion in payments to shareholders and up to $1 billion allocated to an employee equity retention program. On the announcement day, NVIDIA's stock closed at $228.45, up 1.8% from the previous day.
The acquisition follows a significant shift in Hugging Face's stance. In 2025, the company rejected a roughly $500 million investment offer from NVIDIA to maintain independence from a dominant investor and preserve neutrality among semiconductor competitors like AMD and Intel. However, in summer 2026, Hugging Face CEO Clément Delangue personally proposed the collaboration to Jensen Huang, citing a need to 'seriously scale open-source AI.' Delangue described the decision as a result of 'planetary alignment,' driven by industry inflection points, security experiences, and ideological alignment with NVIDIA's support for open- AI.
Hugging Face is a central hub for the AI ecosystem, hosting over 3 million models, 500,000 datasets, and 1 million applications, with approximately 18 million developers and 200,000 enterprise users. NVIDIA has been a major contributor to the platform, publishing over 500 models and 250 open datasets. In the acquisition announcement, Huang committed that the platform would continue to operate openly, that developers would not be required to use NVIDIA , and that multi-cloud and multi-accelerator environments would be supported, as documented in an SEC 8-K filing.
The deal faces regulatory scrutiny as it meets the mandatory filing threshold under the Hart-Scott-Rodino Antitrust Improvements Act. Notifications have been made to the U.S. Federal Trade Commission and the Department of Justice, with approvals also required from the EU and other jurisdictions. Completion is targeted for the first half of 2027. Competitors are expected to file objections, and UK publication The Register has argued that regulators should intervene, stating that Hugging Face is 'too important to fall into NVIDIA's hands.'
Prior to the announcement, Hugging Face subsidiary Pollen Robotics unveiled the 'Microduck,' a $399 open-source bipedal desktop robot for in physical AI. Manufactured by Seeed Studio, the product generated $2.6 million in pre-order sales within 24 hours. The underlying infrastructure for this product is provided by NVIDIA, illustrating the existing technical synergy between the two companies.
Source details: finance.biggo.com ↗
Why it matters
This acquisition represents a strategic pivot for NVIDIA from hardware dominance to ecosystem control, addressing the 'de-NVIDIA' trend among major cloud customers. By securing Hugging Face, NVIDIA gains a critical entry point for AI developers, ensuring that demand flows through its ecosystem even as competitors develop alternative chips. The deal also highlights the growing importance of open-source AI in security and development, as Hugging Face's platform allows for transparent model evaluation and defense against cyberattacks, a capability closed APIs lack. This move could reshape the competitive landscape, making developer community loyalty as significant as chip performance.
The acquisition signals a shift in AI industry competition from chip performance to developer entry points. While NVIDIA has dominated the supply side, competitors like Google, Amazon, and Microsoft are developing their own chips, making hardware dominance insufficient to guarantee market share. Hugging Face's developer community serves as a strategic bridgehead to the demand side, ensuring that AI workloads continue to utilize NVIDIA's ecosystem.
The deal addresses the 'de-NVIDIA' movement among large customers by securing the platform where developers search, evaluate, and deploy models. With a price-to-sales ratio of approximately 86 times, the valuation reflects the strategic value of the developer community rather than current financial earnings. CICC research notes that the acquisition aims to counter de-NVIDIA trends, complement cloud capabilities, and strengthen open-source security governance.
Open-source AI is increasingly viewed as a security imperative. Hugging Face CEO Clément Delangue noted that during a cyberattack, closed APIs could not protect the company, whereas open models with publicly available weights allowed defenders to test capabilities locally and build countermeasures. This transparency is a key differentiator for open-source platforms in an era of increasing AI-driven threats.
The merger could impact the balance of power between open and closed models. As closed companies like Anthropic prepare for IPOs and grow in scale, Hugging Face's acquisition by NVIDIA aims to ensure that the open-source alternative remains viable and competitive. This move underscores the critical juncture in the AI industry where ecosystem control is becoming as important as technological capability.
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What to watch next
Regulatory approvals from the US and EU will determine if the deal closes as scheduled in 2027. Developers are monitoring for changes in platform neutrality, such as search ranking biases or bandwidth restrictions, which could impact trust in the open-source community. Additionally, the integration of Hugging Face's new hardware initiatives, like the Microduck robot, with NVIDIA's infrastructure will test the practical benefits of the merger for physical AI development.
Regulatory outcomes from the FTC, DOJ, and EU will be critical in determining whether the deal closes in the first half of 2027. Antitrust objections from competitors could delay or block the transaction, particularly given NVIDIA's dominant position in the AI chip market.
Developer trust in Hugging Face's neutrality will be tested post-acquisition. Concerns about potential biases in search rankings, bandwidth restrictions, or changes to terms of service could impact the platform's value as a neutral hub for the AI community. The historical precedent of GitHub's acquisition by Microsoft suggests that maintaining independent operation is essential for preserving community trust.
The integration of Hugging Face's hardware initiatives, such as the Microduck robot, with NVIDIA's infrastructure will provide early insights into the practical benefits of the merger. Success in physical AI development could demonstrate the value of combining open-source software with proprietary hardware.
Market reactions to the acquisition will indicate investor confidence in NVIDIA's long-term strategy. While the stock rose on the announcement day, sustained growth will depend on the company's ability to leverage the Hugging Face ecosystem to drive new revenue streams and maintain its competitive edge in the AI market.