Nvidia has reportedly agreed to acquire Hugging Face for $12.9 billion.
That would make it one of Nvidia’s largest acquisitions ever, and honestly, the price tag alone is pretty wild considering Hugging Face reportedly has around $150 million in annualized revenue.
But Nvidia obviously isn’t paying almost $13 billion for Hugging Face’s current revenue.
It’s buying its position in the AI ecosystem.
If you work with open models at all, you have probably used Hugging Face.
It has become one of the main places developers go for models, datasets, libraries, demos, inference tools, and increasingly deployment infrastructure.
It is basically a huge distribution layer for open AI.
And that makes this acquisition much more interesting than Nvidia simply buying another AI startup.
Nvidia already owns a massive piece of the hardware layer through its GPUs and CUDA ecosystem. Buying Hugging Face potentially gives it much more influence over the layer where developers actually discover, download, test, train, fine-tune, and deploy models.
That is a pretty powerful combination.
There is another part of this that I think is especially interesting.
Some of Nvidia’s largest customers are also working on alternatives to Nvidia hardware.
OpenAI, Google, Amazon, and others have either developed or explored their own AI chips and accelerators.
Meanwhile, the open model ecosystem contains thousands of companies, researchers, and independent developers who are probably not going to start designing their own AI accelerators anytime soon.
So Nvidia has a very good reason to want open AI to thrive.
More useful open models means more developers building with them.
More developers building with them means more demand for compute.
And Nvidia is more than happy to sell the compute.
Jensen Huang actually reinforced this after Nvidia’s latest earnings, saying that he expects both open and closed models to continue growing and that both are driving Nvidia’s sales.
From that perspective, Hugging Face is a very logical acquisition.
But I do wonder what happens to Hugging Face’s neutrality.
This is the part I am much more curious about.
One of the things that makes Hugging Face valuable is that it isn’t tied to one hardware vendor.
You can find projects targeting Nvidia GPUs, AMD hardware, Intel hardware, Apple Silicon, CPUs, TPUs, WebGPU, and just about every weird little experimental setup developers can come up with.
If Nvidia owns Hugging Face, it doesn’t have to suddenly make the platform “CUDA only” for things to change.
The changes could be much more subtle.
Nvidia hardware could get better first-party integrations.
Nvidia inference services could become more deeply integrated.
Nvidia’s enterprise AI stack could slowly become the path of least resistance for Hugging Face users.
None of those things would necessarily be bad individually.
In fact, Nvidia pouring resources and compute into Hugging Face could result in some seriously good developer tooling.
But over time, Hugging Face could start feeling less like a neutral AI platform and more like an Nvidia developer ecosystem.
And that would be a pretty significant shift.
Analysts are already raising exactly that concern. One described the potential acquisition as positive for open-model investment and adoption, but potentially negative for ecosystem neutrality.
This relationship didn’t come out of nowhere either.
Nvidia participated in Hugging Face’s $235 million funding round in 2023, which valued the company at $4.5 billion.
More recently, Hugging Face reportedly rejected a $500 million investment offer from Nvidia that would have valued the company around $7 billion.
Now we’re talking about Nvidia potentially buying the whole company for almost $13 billion.
That escalated quickly.
Nvidia’s position in AI is already enormous.
It has CUDA, networking, inference software, enterprise AI platforms, cloud infrastructure, model tooling, and investments scattered throughout the AI industry.
Add Hugging Face to that stack and Nvidia potentially gains control over one of the largest communities and distribution platforms in open AI.
You could start drawing a stack that looks something like:
GPU → CUDA → inference → models → model distribution → deployment
That is a lot of the AI development pipeline sitting under one company.
At the same time, Nvidia might be one of the few companies capable of giving Hugging Face essentially unlimited access to the thing every AI company desperately wants:
compute.
So I can see a version of this where Hugging Face gets better.
Potentially much better.
More infrastructure, faster inference, better hosting, more funding for open models, better tooling, and more resources for the community could all be great.
I can also see a version where the platform slowly becomes increasingly Nvidia-centric.
That is why I think the most important part of the eventual announcement won’t actually be the $12.9 billion number.
It will be what Nvidia says about how Hugging Face will operate afterward.
Does Hugging Face remain largely independent?
Does Nvidia commit to maintaining hardware neutrality?
What happens to support for competing accelerators?
How deeply does Nvidia integrate its own services into the platform?
Those answers will tell us a lot more about what this acquisition means for developers than the purchase price will.
For now, the acquisition is apparently agreed upon, but Nvidia and Hugging Face have not publicly confirmed or commented on the deal.
I’ll definitely be watching what happens next, because Nvidia buying one of the central hubs of the open model ecosystem feels like one of those deals that could look a lot more important a few years from now than it already does today.
