Nvidia Agrees to Acquire Hugging Face for $13B

Hugging Face began in 2016 as a general-purpose chatbot project created by three French founders in New York. Its name was intended as a temporary reference to their favorite emoji, but the founders never changed it.
The company’s major shift came in 2018, when co-founder Thomas Wolf built an open-source implementation of Google’s newly released transformer technology. The implementation went viral within days and became the foundation of Hugging Face’s business.
Nvidia’s regulatory filing values the consideration for Hugging Face shareholders at roughly $11.9 billion and includes an employee retention program worth up to $1 billion in Nvidia equity.
Nvidia says Hugging Face’s platform includes more than 3 million models, 500,000 datasets and approximately 1 million applications, serving over 18 million developers, researchers and creators.
The acquisition would cost nearly twice as much as Nvidia’s largest completed acquisition, Mellanox, which Nvidia bought for about $6.9 billion in 2019. Mellanox’s networking business was later incorporated into Nvidia’s data-center networking operations, whose revenue reached $31.4 billion in fiscal 2026, although Nvidia cautions that the figure includes products beyond the acquired business.
Nvidia agreed to buy Hugging Face for approximately $12.9 billion, marking one of the largest AI infrastructure deals ever. Yahoo Finance reported the acquisition is expected to close in the first half of 2027 pending regulatory approval. Hugging Face hosts over 3 million AI models and serves 18 million developers worldwide, making it a central hub for open-source artificial intelligence development.
The deal raises questions about Nvidia's growing control over AI development tools. Nvidia promised the platform would remain open and not require its hardware, aiming to reassure developers and European institutions seeking alternatives to proprietary systems. Still, critics worry about conflicts of interest and whether Hugging Face can stay independent under Nvidia ownership.
Hugging Face started in 2016 as a general-purpose chatbot created by three French entrepreneurs in New York. The founders picked the name from their favorite emoji but never bothered to change it. The real breakthrough came in 2018 when co-founder Thomas Wolf built an open-source version of Google's newly released transformer technology.
Wolf's code went viral within days and became Hugging Face's foundation. Today, the platform hosts more than 3 million models, 500,000 datasets, and approximately 1 million applications. It now serves over 18 million developers, researchers, and creators worldwide, according to Yahoo Finance.
At $12.9 billion, this acquisition costs nearly twice as much as Nvidia's largest completed deal before now. Nvidia bought Mellanox for about $6.9 billion in 2019, a networking company that later boosted Nvidia's data-center networking revenue to $31.4 billion in fiscal 2026. The Hugging Face price tag shows how valuable open-source AI infrastructure has become.
Nvidia's regulatory filing values shareholder consideration at roughly $11.9 billion and includes an employee retention program worth up to $1 billion in Nvidia equity. The larger package protects key talent and signals Nvidia's commitment to keeping the team intact through the transition.
The deal raises competitive and structural concerns across the AI industry. Hugging Face sits at a critical layer of AI development — between chip makers like Nvidia and companies like OpenAI that build applications. Nvidia's ownership of this middle layer could create conflicts of interest and give the chip giant influence over what models get built and deployed.
Nvidia promised to keep Hugging Face open and neutral, supporting developers who don't use Nvidia hardware. But skeptics question whether these commitments will hold as Nvidia's influence grows. European institutions and developers seeking alternatives to proprietary systems are watching closely to see if the platform retains its independent character.
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