Nvidia is acquiring open-source AI platform Hugging Face for $12.9 billion, according to reports from multiple outlets, while the deal includes $11.9 billion in cash for investors and up to $1 billion in equity-based retention for employees. The acquisition marks a major expansion into the AI development network for the chipmaker, which has been a key player in AI hardware.

Deal Structure and Strategic Rationale

Nvidia president and CEO Jensen Huang wrote in a blog post that Hugging Face will remain open-source, and developers will not be required to use Nvidia technology. Huang emphasized that the acquisition would help improve Hugging Face’s infrastructure for developers and organizations globally. “Nvidia’s infrastructure, engineering and global reach can help improve platform reliability, safety, model evaluation, inference and deployment capabilities, while preserving the open environment that made Hugging Face foundational,” he said.

The platform, founded in 2016 in New York City by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf, has grown into a major hub for AI models and datasets. Delangue told CNBC that Hugging Face approached Nvidia because it “needed more resources, more scale, [and] more visibility.” He described Nvidia as “a perfect home” for the platform.

According to The Information and other outlets, the deal was announced just two days after reports emerged that Hugging Face was exploring a sale for over $13 billion. The acquisition comes as Nvidia reported record quarterly revenue of $9.62 billion, more than double the previous year, and projected a growth rate of around 70% for the fiscal year 2028, according to CNBC TV-18.

Industry Reactions and Market Context

Analysts and industry observers note that the deal reflects the growing strategic value of AI development platforms; According to Naveen Chhabra, principal analyst at Forrester, “Nvidia gains visibility into customer’s preferences and the AI models they use. They can see which models are trending, what datasets customers are downloading, and the architectures that are gaining traction weeks before they hit mainstream tech news.”

The deal also highlights the rising importance of open-weight models, as businesses seek cost-effective alternatives to expensive proprietary AI solutions. Chinese companies such as DeepSeek, Moonshot, and Z.ai have emerged as serious players with models that can match the best from the US in tasks such as generating computer code at a lower cost.

There are concerns that some US firms could become reliant on Beijing’s models as both countries race to dominate the technology they see as major to their future. The Trump administration has been weighing restrictions on these open models while also worrying about stifling American businesses that have adopted them. Huang was a signatory of an open letter earlier this year from major tech firms that advocated for open models and warned against government regulation that could stifle their use.

Valuation and Financial Background

The $12.9 billion price tag is nearly triple Hugging Face’s last known valuation of $4.5 billion, set in August 2023 after a $235 million funding round led by Salesforce Ventures and including Nvidia, Google, Amazon, Intel, Qualcomm, IBM, Sequoia, and Lux Capital. Analysts note that the price of $12.9 billion, compared to Hugging Face’s estimated annualized revenue of around $150 million, represents a strategic premium for distribution rather than a typical software valuation, according to Greyhound Research as cited by InfoWorld.

Nvidia’s investment in Hugging Face dates back years, with the company releasing over 500 models and more than 250 open datasets on the platform, as Delangue described the acquisition as a “perfect home” for the platform and its community, noting the shared vision between the two companies for open models. “We share this vision, and the Hugging Face team will now bring their passion and expertise to a much larger canvas, with their same iconic brand,” said Huang.