Hugging Face hosts three million models, and Nvidia says the platform will remain open to all compute.
Nvidia confirmed it will acquire Hugging Face for $12.93 billion after weeks of rumors. Hugging Face hosts three million models, one million applications, and half a million datasets for more than 18 million developers. Nvidia CEO Jensen Huang says the platform will keep supporting open-source and open-weight models.
Hugging Face launched in 2016 and has raised more than $395 million. Salesforce Ventures led Hugging Face’s $235 million round in 2023, and Google, Amazon, IBM, and Nvidia participated. The company rejected a $500 million Nvidia offer last year, and The Information reports it now generates around $150 million in annualized revenue.
Nvidia says Hugging Face will remain an open platform for the AI ecosystem. Developers can choose any models, frameworks, clouds, and inference providers without requiring Nvidia compute. Nvidia has released more than 500 models and 250 open datasets on Hugging Face, and it can bundle its unused capacity with Hugging Face offerings for enterprise customers.
Watch for Nvidia to keep investing in open model development. Nvidia recently struck a $6 billion deal with coding startup Poolside, and it has put more than $50 billion into AI frontier labs. Hugging Face’s progress toward profitability will shape how the platform evolves after the acquisition.
What matters
- Nvidia confirmed it will buy Hugging Face for $12.93 billion, keeping the model hub open.
- Hugging Face will remain open, and developers can choose any compute or inference provider.
- Watch for Nvidia to sell unused capacity via Hugging Face as an enterprise bundle.
Why it matters
Watch for Nvidia to sell unused capacity via Hugging Face as an enterprise bundle.
This GenAI News article was prepared in original wording using reporting and materials published by TechCrunch AI. Source reference: https://techcrunch.com/2026/09/03/nvidia-confirms-it-will-buy-hugging-face-for-12-9-billion/.
Drafted by the GenAI News review pipeline.