Nvidia has agreed to acquire Hugging Face in a transaction valued at approximately $12.93 billion, giving the world’s dominant AI-chip supplier ownership of one of the most widely used platforms for finding, sharing and deploying artificial-intelligence models.
The agreement includes about $11.9 billion payable to Hugging Face shareholders, subject to adjustments. Nvidia will also establish an equity-based retention programme worth up to $1 billion for employees who join the company.
The transaction is expected to close during the first half of 2027, but it is not complete. It remains subject to regulatory approvals and other customary closing conditions.
The acquisition moves Nvidia further beyond processors and computing systems, placing it closer to developers and businesses deciding which models, software tools and infrastructure to use.
Hugging Face Will Remain Open, Nvidia Says
Hugging Face operates a central online hub for the open-model community. Developers use it to publish and download model weights, access datasets, test applications and obtain software libraries needed to build AI products.
According to Nvidia, the platform is used by more than 18 million developers, researchers and creators and over 200,000 companies. It hosts more than three million models, 500,000 datasets and one million applications.
Nvidia chief executive Jensen Huang said Hugging Face will remain open to the wider AI ecosystem after the acquisition. Developers will continue to choose their preferred models, frameworks, cloud services, inference providers and computing platforms.
He also said Nvidia hardware will not be required to build or deploy products through Hugging Face. The platform is expected to continue supporting open-source and open-weight models from different developers, along with multiple cloud providers and accelerator manufacturers.
That commitment is particularly important because Hugging Face has functioned as relatively neutral infrastructure. Its users can currently develop and deploy models on hardware supplied by Nvidia as well as competing silicon vendors.
Some developers and industry analysts remain cautious. Ownership gives Nvidia the ability to influence platform priorities, integrations and technical optimisation over time. Even without formally excluding competitors, the company could potentially make the experience smoother for customers using its own chips and services.
Nvidia has addressed that concern in its announcement and regulatory disclosures. Whether Hugging Face maintains the same level of practical neutrality will become one of the most closely watched parts of the integration.
Deal Extends Nvidia’s Influence Across AI Development
Nvidia already supplies the graphics processors and networking technology used to train and operate many leading AI systems. Acquiring Hugging Face creates a direct relationship with developers when they discover models, compare performance and prepare applications for deployment.
The two companies already collaborate to help Hugging Face users access Nvidia computing services. Nvidia has also released more than 500 models and over 250 open datasets through the platform.
Nvidia says its infrastructure and engineering resources can improve Hugging Face’s reliability, security, model evaluation, inference and deployment.
The deal also gives the chipmaker broader exposure to the growth of open AI models. Unlike closed systems accessed mainly through paid interfaces, open-weight models allow organisations to download their parameters and adapt them for particular tasks.
This can give businesses greater control over deployment, data handling and costs. Companies can run suitable models on their own infrastructure or choose among different hosting providers instead of depending entirely on one model developer.
For Nvidia, supporting a wide selection of models can expand demand for computing even when no single AI developer or model family dominates the market.
Purchase Price Reflects Strategic Value
Hugging Face was valued at $4.5 billion when it raised $235 million in August 2023. That funding round included investors such as Salesforce, AMD and Amazon.
The considerably higher value attached to the $12.93 billion acquisition shows that Nvidia is paying for the platform’s developer reach and strategic position, rather than simply its present earnings.
Nvidia held more than $22 billion in cash at the end of July, giving it substantial capacity to make acquisitions and investments. The company is using part of that strength to expand as large customers including Meta, Microsoft and OpenAI work on their own AI processors.
Bringing Hugging Face inside Nvidia could create new routes for selling chips, cloud capacity and software. It could also provide valuable insight into which models, applications and development tools are gaining adoption.
However, the acquisition will face scrutiny because Nvidia already holds a powerful position in AI computing. Regulators may examine whether ownership of a major model-distribution platform could strengthen that influence or disadvantage competing chip and cloud providers.
The next stage will involve regulatory review and preparation for the expected 2027 closing. If approved, the deal will place a platform used by millions of AI developers inside the company supplying much of the computing on which their models run.
