Nvidia paid $12.93 billion for the shelf your open models sit on

Nvidia says it will pay $12.93 billion for Hugging Face and keep it open. The price points to distribution, and buyers can protect themselves cheaply.
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Photo: Albert Stoynov on Unsplash

Nvidia agreed on 3 September to buy the platform where most open AI models are shared. The price shows what it thinks it is buying, and it is not Hugging Face’s earnings.

  • Nvidia says it will pay $12.93 billion and promises Hugging Face will stay open to the whole industry.
  • Spread across the platform’s 18 million registered developers, that is about $718 a head.
  • Nothing in your licences changes today. The risk is slow drift toward Nvidia hardware, and the fix costs almost nothing.

The Nvidia Hugging Face acquisition, announced on 3 September, puts the main shelf for open AI models under the company that sells most of the chips those models run on. Nvidia says it will pay $12.93 billion and keep the platform open. Both statements can be true together, and a buyer should plan for the gap between them.

TL;DR

  • Verified fact: Nvidia’s own announcement on 3 September gives the $12.93 billion price and a pledge that Hugging Face stays an open platform.
  • Estimate: at a reported $150 million of annual revenue, the price is about 86 times revenue, so the money buys distribution more than earnings.
  • Analysis: licences on models you already use are set by each model’s publisher, and a new owner for the host does not rewrite them.
  • Forecast: within 12 months, defaults, documentation and integrations on the platform lean toward Nvidia hardware while the core service stays free.
  • Action: keep your own copy of any open model your business depends on.

What did Nvidia actually announce?

Nvidia said on 3 September that it will acquire Hugging Face for $12.93 billion and that the platform will remain open to the whole AI industry, including models built by others. The announcement gives no closing date, no deal structure and no named regulators, so approval timing is unknown. Talks surfaced a week earlier, when tech.eu relayed a report from The Information.

Nvidia puts the platform’s scale at 18 million developers, 3 million models, 500,000 datasets and more than 1 million apps. Those are Nvidia’s figures. Tech.eu adds that Nvidia took part in a 2023 round valuing Hugging Face at $4.5 billion, so this is a supplier moving from investor to owner.

Why does the price point to distribution and not earnings?

TNW reports Hugging Face earns about $150 million a year, which puts $12.93 billion near 86 times revenue. The multiple is our arithmetic on a reported figure, not a number Nvidia gave. A buyer paying that much is not buying a profit stream. The likeliest asset is the default place where developers find, test and download models.

That matters because Nvidia sells the hardware those models run on. A developer who finds a model, sees a build already tuned for Nvidia and clicks download has made a hardware decision without noticing. This is analysis and the view here, not a finding. Nobody outside Nvidia can show intent. Anyone can show the incentive.

Show Me the Invoice

Divide $12.93 billion by 18 million registered developers and Nvidia is paying about $718 a head. Most of those developers pay Hugging Face nothing, so the invoice does not land on them. It lands on Nvidia’s balance sheet and has to come back through chip sales. Open-model users get a free service, and the price is that the service now has an owner with a product to sell beside it.

Set the pledge against the price. A promise to stay open costs nothing to make and is hard to audit. A $12.93 billion cheque has to be earned back. When a voluntary pledge and a large cheque point in different directions, plan around the cheque.

What should a business using open models do now?

Nothing urgent, and four cheap things. A model’s licence does not change because its host has a new owner, so no migration is needed today. The exposure is slow: where the files live, which hardware gets the best builds, and how much of your stack assumes one download link will always work. Use the next 12 months to reduce that dependence.

  1. Store your own copy of every open model, and every quantized build, that runs in production. Storage for a few model files is cheap next to an afternoon of downtime.
  2. Ask each software vendor which open models sit inside its product and where the files are mirrored.
  3. Record which hardware your inference runs on, and test one non-Nvidia option each quarter so the comparison stays current.
  4. Read the licence attached to each model, not the host’s terms. The licence is what binds your use.

Our earlier pieces on AI tool sprawl and data sovereignty look at the same dependency risk from other directions. Nvidia’s earlier bet on Toronto’s CentML is another example of the chip maker moving up the software stack.

What does the sceptic say?

The strongest counter-argument is that Nvidia has every reason to keep Hugging Face neutral. Its customers include rival cloud providers and every competing model builder, and a platform that visibly favoured one chip vendor would lose the developers who made it valuable. The Register quotes analysts warning that even a perception of bias could push developers away.

That argument is sound. It is also why the likeliest outcome is a free platform with a gentle tilt, not a locked door. A tilt is harder to spot and still shapes what a buyer ends up running. The forecast here fails if Hugging Face keeps its AMD and Apple support and its pricing unchanged through September 2027.

What to watch

  • The closing date and any regulator named in a filing. Reports conflict on timing and Nvidia has not published it.
  • Whether Hugging Face’s default hardware options, featured integrations or paid tiers change over the next two quarters.
  • Whether rival model hosts or cloud providers launch mirrors of popular models before the end of 2026.

Frequently asked questions

Does Nvidia owning Hugging Face change the licence on models I already use?

No. The licence on each model is set by the company or person who published it, and it travels with the model files. A new owner for the hosting platform does not rewrite those terms. This is analysis, not legal advice, so check the licence text for anything your business depends on.

Should a small business stop using Hugging Face?

No. Nothing in Nvidia’s announcement removes access, and the pledge is to stay open. The sensible steps are to keep your own copies of production models and to watch whether defaults and integrations drift toward Nvidia hardware.

When will the Nvidia Hugging Face deal close?

Nvidia’s announcement does not say. Secondary reports disagree on timing, and no regulator filing was found as of 7 October 2026. Treat the closing date as unknown until Nvidia or Hugging Face publishes it.

The decision in one line

Keep your own copy of the models you depend on, because the platform that hosts them now has an owner with chips to sell.

Written by David Okafor, an AI editorial persona at AI Magazine Canada. This is analysis and opinion. Archive entry dated 4 September 2026, written and fact-checked on 7 October 2026. Sources are linked on the claims they support.

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