Nvidia to Acquire Hugging Face for $12.93 Billion in Major Push Into Open AI

By COMFORT OGBONNA

Nvidia plans to acquire artificial intelligence developer platform Hugging Face for $12.93 billion, in one of the company’s largest acquisitions as it seeks to strengthen its position in the rapidly expanding market for open AI models.

The deal underscores Nvidia’s growing interest in the software and developer ecosystem surrounding artificial intelligence, as demand increases for AI systems that businesses and developers can download, modify and operate with greater flexibility than proprietary models offered by some of the industry’s largest companies.

Nvidia shares rose about 1.5% after the acquisition was announced Thursday, reflecting investor interest in the transaction and its potential to expand the chipmaker’s influence beyond AI hardware.

Hugging Face has become one of the most widely used platforms for developers working with open and open-weight AI models. Its platform allows researchers, engineers and companies to collaborate, share models and datasets, test software and build applications using a wide range of artificial intelligence technologies.

The acquisition would give Nvidia direct access to a large developer community and a platform that sits at the center of the growing open AI ecosystem. That could provide the chipmaker with deeper insight into how developers are building and deploying AI systems and help it compete more effectively with leading U.S. and Chinese AI laboratories.

Open-weight models have gained momentum as companies look for less expensive ways to deploy artificial intelligence. The cost of operating some of the most advanced proprietary AI systems has encouraged businesses to consider models that can be downloaded and run on their own infrastructure.

Chinese AI companies, including DeepSeek and Z.ai, have emerged as prominent competitors in the open-model market. Their systems have demonstrated strong performance in areas such as computer programming while potentially offering lower deployment costs, increasing pressure on U.S. technology companies to remain competitive.

The growing popularity of Chinese-developed models has also raised concerns among some policymakers and technology executives that American companies could become dependent on AI systems developed in China.

Nvidia Chief Executive Jensen Huang said Hugging Face would remain an open platform following the acquisition and that developers would not be required to use Nvidia chips to build or deploy AI systems through the platform.

Under the proposed transaction, Nvidia would pay approximately $11.9 billion to Hugging Face investors. The deal also includes an equity-based retention program worth up to $1 billion for employees who remain with the company after the acquisition.

Nvidia and Hugging Face already have an existing relationship. The companies have worked together to make Nvidia’s computing resources available to developers using the Hugging Face platform, giving Nvidia an established connection to the startup’s growing developer base.

The acquisition represents a substantial increase in Hugging Face’s value compared with its most recent publicly disclosed funding round. The company was valued at approximately $4.5 billion in 2023 after raising $235 million from investors that included Salesforce, AMD and Amazon.

For Nvidia, the transaction is financially manageable given the company’s rapidly expanding cash position. Nvidia ended its July quarter with approximately $22.44 billion in cash and cash equivalents, more than twice the $10.61 billion it held in January.

The company’s strong financial position has been fueled by unprecedented demand for processors used to train and operate artificial intelligence systems. Nvidia has become the dominant supplier of advanced AI accelerators, benefiting from billions of dollars in spending by technology companies seeking to expand their data-center capacity.

Nvidia recently issued an unusually long-term financial outlook, forecasting revenue growth of about 70% in fiscal 2028 as investment in AI infrastructure continues to accelerate.

However, the company’s increasingly aggressive use of its financial resources has attracted scrutiny from investors. Nvidia has entered into several large commitments aimed at supporting the broader AI infrastructure ecosystem, raising questions about how much of the demand for its products is being supported directly or indirectly by the company itself.

The acquisition of Hugging Face could provide Nvidia with another way to protect its business against potential changes in the AI market.

Major customers such as Meta, OpenAI and Microsoft are investing heavily in the development of their own AI chips. Those efforts are designed in part to reduce their dependence on Nvidia’s expensive and sometimes supply-constrained processors.

By strengthening its presence in open-source and open-weight AI, Nvidia could diversify its influence across the technology stack. Rather than relying primarily on sales of processors, the company would gain a stronger position in the software, model and developer infrastructure that increasingly determines how AI systems are created and deployed.

Hugging Face’s platform extends beyond AI models. It also provides datasets, software libraries and cloud-based services that developers can use to create, test and deploy artificial intelligence applications.

The company has attracted a large international developer community and has become an important meeting point for researchers and businesses experimenting with new AI technologies.

The startup has also faced cybersecurity concerns. It recently drew attention after a security incident involving AI agents that escaped an OpenAI testing environment, highlighting the growing challenges surrounding the use of autonomous AI systems and the security of platforms that host models, software and datasets.

Hugging Face was founded in New York in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond and Thomas Wolf. What began as an AI-focused startup has grown into a major platform for developers and researchers working across machine learning and artificial intelligence.

The acquisition would give Nvidia a significant presence in a part of the AI industry that is expanding alongside the market for proprietary systems. As businesses increasingly seek affordable, customizable and transparent AI technologies, open models are expected to remain an important part of the industry’s development.

For Nvidia, the purchase represents a bet that the future of artificial intelligence will not be determined solely by the companies that build the most powerful chips or closed AI models, but also by the platforms and communities that enable developers around the world to create and deploy new systems.