Nvidia Is Buying Hugging Face for $12.9 Billion: The GitHub of AI Gets a New Owner
The default home of open-weight AI models may soon belong to the company that sells most of the silicon those models run on. Nvidia agreed to buy Hugging Face for $12.9 billion, according to a report in The Information (TechCrunch, 2026). Neither company has confirmed the deal.
That matters because Hugging Face is the open-source hub where developers build, test, and distribute AI models and tools (CNBC, 2026). It is often described as the GitHub for AI models (LinkedIn News, 2026). If the deal closes, the dominant AI chip supplier would also own the main distribution point for the open ecosystem.
The deal, by the numbers
Section titled “The deal, by the numbers”The Information reported the agreement on Wednesday night, citing a person familiar with the deal. Business Insider reported the same night that talks had not yet produced a signed agreement and could still fall apart (TechCrunch, 2026).
| Spec | Value |
|---|---|
| Reported price | $12.9 billion |
| Hugging Face annualized revenue | About $150 million |
| Price-to-revenue multiple | About 86x |
| Last funding round (2023) | $235 million at a $4.5 billion valuation |
| Rejected Nvidia investment (late 2025) | $500 million at a $7 billion valuation |
The revenue figure comes from The Information. It puts Hugging Face at about $150 million in annualized revenue, up from roughly $100 million two months earlier, which makes the reported price about 86 times sales (The New Stack, 2026).
The price is nearly triple the $4.5 billion valuation Hugging Face carried out of its 2023 round. Salesforce Ventures led that round, with money from Alphabet’s GV, IBM Ventures, and Nvidia itself (TechCrunch, 2026).
Hugging Face turned Nvidia down once before. In late 2025 it rejected a $500 million investment that would have valued the company at $7 billion. The stated reason was governance: the company argued that no single investor should hold that much sway over neutral infrastructure (TNW, 2026). Nine months later, the company reportedly agreed to sell outright for close to double that valuation.
Why Nvidia wants the hub
Section titled “Why Nvidia wants the hub”The logic is pull-through economics.
Developers who download open-weight models run them on their own infrastructure, and that hardware overwhelmingly relies on Nvidia GPUs. Hugging Face also uses Nvidia GPUs to power its paid hosting services (Fortune, 2026). Owning one of the most widely used platforms for open models connects developer demand directly to the silicon.
The deal also defends the core business. OpenAI, Google, Amazon, and Anthropic are building their own chips to reduce their reliance on Nvidia hardware. A strong open-source ecosystem keeps more of the market tied to Nvidia’s stack (Fortune, 2026).
Timing tells its own story. The report landed the same day Nvidia posted earnings that pushed its shares up 4% after hours, on top of a reported $20 billion licensing deal with AI chip startup Groq (CNBC, 2026).
The neutrality problem
Section titled “The neutrality problem”Hugging Face’s value comes from neutrality. The platform works with AMD, AWS, and Google, alongside its 2023 partnership that connected Hugging Face models to Nvidia’s DGX Cloud for training and fine-tuning (TechSpot, 2026).
Open licenses guarantee access to weights. They do not guarantee equal treatment in discovery, ranking, optimization, or product priorities. An analysis in TechStrong AI states the risk directly: Hugging Face does not have to stop supporting Nvidia competitors for the easiest and best-supported path to gradually become the Nvidia path (TechStrong AI, 2026).
Vinay Thakker, CTO of KloudStax, framed the operations angle. Many teams ran open models through Hugging Face because they could self-host and avoid lock-in to one frontier lab. The fallback option now sits inside the same company that sells the chips (TechStrong AI, 2026).
Antitrust review is the other open question. Nvidia is already under scrutiny over its position in AI accelerators, and buying the ecosystem’s default hosting layer is a vertical move that regulators in more than one jurisdiction will find interesting (TNW, 2026).
The precedent: GitHub, one layer down
Section titled “The precedent: GitHub, one layer down”Microsoft paid $7.5 billion for GitHub in 2018. GitHub was the place developers already worked, and Azure became the default next step out of it. Nvidia is running the same play one layer down: own the place developers get models, and the path to your hardware becomes the path of least resistance (LinkedIn News, 2026).
What your team should do now
Section titled “What your team should do now”Nothing is signed yet, so treat this as risk planning, not alarm:
- Pin your models. Reference exact model versions and checksums in your deployments, the same way you pin container images.
- Mirror what you cannot lose. Copy the weights and tokenizers your production stack depends on into your own registry or object storage.
- Read the license, then the terms of service. Model licenses survive an acquisition. Hosted tooling, rate limits, and discovery ranking can change under new ownership.
- Track the deal status. No signed agreement exists yet, which means the outcome is still open (TechCrunch, 2026).
The open-weight ecosystem grew on neutrality. The question now is whether the hub that made it accessible stays neutral under the ownership of the company that sells the hardware underneath it.