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BlockNews
Home FINANCE

Nvidia Acquires Hugging Face for $12.93 Billion – Here Is What It Means for AI

Michael Juanico by Michael Juanico
September 3, 2026
in FINANCE, OPINION, TECHNOLOGY
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  • Nvidia confirmed it will acquire open-weight AI platform Hugging Face for $12.93 billion, with the deal expected to close in the first half of 2027.
  • Hugging Face serves more than 18 million developers, researchers and creators, hosts over 3 million models and is used by more than 200,000 companies.
  • Nvidia says Hugging Face will remain an open platform and continue supporting open-weight and open-source AI models following the acquisition.

Nvidia has confirmed plans to acquire Hugging Face for $12.93 billion, marking another major expansion beyond its core AI chip business.

The announcement sent Nvidia shares more than 1% higher in early Thursday trading, with the stock gaining close to 2% during the first hour of the session.

Hugging Face has become one of the largest platforms for developing and distributing AI models. More than 18 million developers, researchers and creators use the platform to share over 3 million models, while more than 200,000 companies use it to discover and deploy AI technology.

The acquisition is expected to close during the first half of 2027, subject to regulatory approval.

Hugging Face Will Remain an Open AI Platform

Nvidia said Hugging Face will continue operating as an open platform for the broader AI ecosystem after the acquisition.

The company also plans to continue supporting open-weight and open-source models rather than restricting Hugging Face to Nvidia technology.

Nvidia enterprise computing general manager Justin Boitano said maintaining choice across hardware, cloud providers and other infrastructure will be important for continuing to grow Hugging Face’s developer community.

Nvidia could still benefit as more AI models are trained and deployed using its hardware.

CEO Jensen Huang said open models can accelerate innovation, strengthen cybersecurity and give developers, companies, universities and countries greater ability to build and customize AI systems.

Nvidia Expands Beyond AI Chips

The acquisition represents another step in Nvidia’s effort to become the underlying platform for the wider AI industry rather than remaining primarily a semiconductor supplier.

BD8 CEO and Nvidia investor Barbara Doran described the acquisition as a strategic move that could help prepare Nvidia for a future when extraordinary demand for AI chips eventually slows.

The $12.93 billion purchase also represents a relatively small portion of Nvidia’s expected financial capacity. Nvidia’s free cash flow is projected to approach $200 billion for fiscal 2027.

Nvidia Builds Out Its AI Ecosystem

Nvidia has increasingly positioned its combination of GPUs, CUDA software and developer infrastructure as a full-stack platform capable of supporting AI throughout its lifecycle.

Huang recently described the strategy as creating one platform capable of supporting different AI models and workloads globally.

CFRA Research equity analyst Angelo Zino said the Hugging Face acquisition is less about immediate financial returns and more about expanding Nvidia’s influence throughout the AI ecosystem.

As Hugging Face’s developer network grows, Nvidia could gain another major channel through which AI models are developed, trained and deployed.

That could ultimately reinforce demand for Nvidia’s hardware and software while pushing the company deeper into the infrastructure surrounding the global AI industry.

Disclaimer: BlockNews provides independent reporting on crypto, blockchain, and digital finance. All content is for informational purposes only and does not constitute financial advice. Readers should do their own research before making investment decisions. Some articles may use AI tools to assist in drafting, but every piece is reviewed and edited by our editorial team of experienced crypto writers and analysts before publication.
Tags: AcquisitionAIHuggingFaceNVDAnvidiaTechnology
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Michael Juanico

Michael Juanico

Michael is a BSBA Management graduate from Mindanao State University and has been a professional content writer since 2019. He began exploring cryptocurrency in 2021 and has since made blockchain and digital assets his primary focus. For nearly four years, Michael has contributed research and editorial content at Aiur Labs and BlockNews, producing clear and accessible coverage of market trends, trading strategies, and project developments. He is transparent about his personal holdings in Bitcoin, TRON, and select meme tokens, combining writing expertise with hands-on market experience to deliver trustworthy insights to readers.

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