Nvidia agreeing to pay $12.9 billion for a company with roughly $150 million in annualized revenue is either the wildest multiple in tech history or the cheapest strategic insurance ever written. I’m firmly in the second camp. Hugging Face isn’t a model lab, and that’s the entire point. It’s where millions of developers go to find, compare, and download models, and whoever owns that discovery layer sees what the AI world wants before it ever becomes a GPU order.
Nothing is signed yet. The $12.9 billion figure started circulating Wednesday night, neither company has confirmed a thing, and people familiar with the talks say the number under discussion sat north of $13 billion this week. Deals at this stage collapse more often than anyone admits. Microsoft reportedly kicked the tires earlier and went quiet.
A deal nobody has actually signed
The most revealing detail isn’t the price. Hugging Face turned down a $500 million Nvidia investment last year that would have valued it at $7 billion, because Thomas Wolf didn’t want a dominant investor steering decisions. Now it’s reportedly selling outright at nearly double that. Minority influence is a slow leak, an outright sale is a payday, and at roughly 86 times revenue the payday clearly won.
Nvidia was never a stranger here. It joined the 2023 Series D that raised $235 million at a $4.5 billion valuation alongside Salesforce, Google, and IBM, and it already distributes its Nemotron models through the hub. Wolf sat for an on-air interview just before this broke, dodged the acquisition question, and volunteered that revenue had passed $100 million. He added it was “definitely above that” now. That’s not a denial, that’s a founder managing expectations after a 50% jump in two months.
Why the aisle matters more than the models
The reaction treats this as Nvidia buying a popular open source website. That misses what’s actually being purchased. Hugging Face hosts millions of models and datasets and sits at the exact moment a developer decides which architecture to build on. Owning it hands Nvidia early visibility into emerging model designs, compression techniques, and demand signals before any of it becomes a hardware order.
And the timing is no accident. OpenAI and Anthropic are pouring money into custom silicon, which means Nvidia’s biggest customers are slowly learning to need it less. Keeping the open model ecosystem thriving on Nvidia hardware is a demand-generation machine, and the framing I keep hearing from founders is that this is Nvidia “open-maxing”, locking up the open layer precisely because the closed labs are drifting away. An 86x multiple only makes sense as infrastructure spending.
Shay Boloor compressed the distribution thesis better than most analysts have, and I’d co-sign most of it:
The neutrality problem Nvidia just bought
Here’s where it gets messy. Hugging Face’s entire value rests on being neutral ground. It hosts models from AMD, Google, and Intel and supports their silicon, which is exactly why Wolf rejected Nvidia’s money in the first place. Platform gatekeeping has a track record, from Apple’s App Store fee fights to Huawei offloading Honor, and developers remember how those went.
I spent Thursday night in the r/artificial and r/hardware threads, and the mood splits cleanly. One camp calls it what it fears: “screams monopoly”, censorship risk, a hub that could be weaponized. The other camp makes the sharper point, that Nvidia’s hardware incentives favor keeping the platform open and free, because a walled garden shrinks the market for its own chips. Both things can be true. Trust doesn’t run on incentives, it runs on ownership, and the ownership just changed.
There’s also a security shadow. Hugging Face absorbed an autonomous AI cyberattack in July, and Nvidia has since been rallying an Open Secure AI Alliance in response. Antitrust reviewers will have their own questions about one hardware giant owning the open hub. One circulating claim that the deal was paused over scrutiny is unconfirmed, and I’d treat it as noise until someone signs.
My read is that Nvidia is admitting the open ecosystem is strategic ground it can’t leave to chance, whatever the revenue multiple says. Watch the AMD and Intel model pages over the next six months. If they stay first-class citizens, Nvidia pulled off the savviest infrastructure buy of the decade. If they quietly slide down the rankings, we’ll know exactly what the $12.9 billion was for.
