This is a most excellent place for technology news and articles.
13 billions for something that if disappeared overnight, it would be just a mildly inconvenience and replaced by a 1:1 competitor in less than a day?
Mild inconvenience? HF hosts millions of models and datasets, that would be a huge loss and break all software that depends on it
Competitors (like ModelScope) already exist but are rarely used outside of China
How the hell can it be worth billions?? Isn't it a fancy repo for models? What's the actual value?? I swear billion is the new million for tech buyout
Microsoft spent $7.5 billion for Github, and managed to find use for the repo.
I can see some sort of subscription service where Nvidia allows you to run on model on their hardware. And also something has to boost their valuation to drive the stock up, and releasing new cards right now is a waste with RAM prices going ever upwards.
HuggingFace already has something for that called HuggingFace Spaces, though I don't know how it is monetised. Even runs on different tiers of Nvidia GPUs already
This has been true since Facebook bought Instagram for 1 billion.
They also sell access to use the models on hardware.
I had a battery coin charged up to 5.3e288 in Raccoin today, so I know how it feels, Jensen.
Sounds like there's a market for a hugging face comeptitor.
Nvidia is seeing the writing on the wall that local models are the only viable future for AI. They have to try and squash that now before it's too late. I mean, it is already is too late, as they've hooked there wagons to these AI companies, and that shit's going to end and nividia is going to be a bag holder. I can't wait.
Nvidia is seeing the writing on the wall that local models are the only viable future for AI
Not necessarily. HuggingFace already lets you run models in their servers. Nvidea might be buying HF so that they can sell cloud-compute to even more people.
We need to get models into a distributed distribution. Huggingface is way too central.
It feels like one of those technologies that can't truly be contained. It's like how the government keeps trying to end piracy. It's like a ~~hydration~~ hydra. Cut off one head and two more show up. Local models will be the dagger to premiere models.
drink water!
Damn hydration. Always growing too many heads.
Hail hydration
yeah fully agree. They may go more underground, thinking if govs try to block them, but they'll still be there.
There will be a new generation that learns about VPNs and torrents. Life is cyclical.
NVidia wins if people run local models on their hardware too. Hugging face is not a competitor, it is an enabler.
except the chips are bought out by AI companies years ahead of time. it will take a long time for nvidia to switch back.
Doesn't matter to Nvidia. It's just about having a plan B if all those future orders start to collapse.
Maybe, but CPUs are coming out with LLM tuned chips, and I can run a basic model on an i5, 8gb ram, and no dedicated card. It's not super powerful, but for most users, it's more than enough for what they use the big models for. Also, if it does take a discrete card to get that needed boost in performance, then at least consumers would be able to get GPUs again.
I think as hardware improve and is further designed around LLM efficiency, and local models are tuned for specific uses and being able to run on lesser hardware, it will make Nvidia obsolete for large swaths of the population. A good GPU will still be necessary for high performance, graphic/physics intense gaming, but that's a really small subset of all users.
Hopefully Nvidia just shits and has to grovel back to the consumer to get there marketshare back when all of the DCs go tits up.
I can run models on my 3yo midrange smartphone. Gemma-4-E2B totally runs on there. Bonsai-8B too. But neither is really good for most tasks.
Heck, "a basic model" even runs locally on the 8MB RAM of an ESP32-S3, but it's utterly worthless at anything.
If you get a bit more into self-hosting AI it quickly becomes obvious that for any actually useful real world tasks you need at least 24GB you can dedicate to the LLM alone, and if this is fully GPU vRAM, the performance is way, way higher than on CPU, even with an NPU.
Dear Mr. Huang,
I have a proposal that will make your company a lot of money. In fact, I guarantee this deal will will increase NVIDIA's revenue by 19 billion USD.
All you have to do is invest 20 billion in my company, Al Is Awesome, LLC, and I will purchase 19 billion worth of NVIDIA cards to get my project off the ground.
Thank you for your consideration.
Sincerely,
Schipelborp
CEO, Founder, Al Is Awesome, LLC
They going to buy it with an IOU?
Nvidia is the only dog in this race that's actually turning profits hand-over-fist
Only if the line keeps going up. Ai companies have been “selling” chunks of themselves to NVIDIA for “cash” then these companies turn around and buy hardware from NVIDIA. When the crash eventually comes, NVIDIA will have some percentage of zero (or close enough to count) value company. Basically acting like a bank, just cutting the banks out of the process. NVIDIA shows revenue and the AI company churns their super-inflated value to be even more inflation.
nah, they're basically the best shovel sellers around. practically all their deals take payment up front for the hardware (+lease obligation) on top of some form of constant monetization for the compute used a/o various types of financing schemes (that involve getting outside parties to foot the bill).
jensen knows this game very well and is playing everyone else superbly.
it's obviously a bubble and they will correct along with everything else eventually but compared to the rest NVDA will likely come out far far ahead of everyone else because they bring in actual revenue.
Most of that money is their own money though, just being paid back to them by the companies they "invested" in. This makes the line go up and adds to Jensen Huangs personal fortune, but it is not actually a profit for the company.
Their main manufacturing business is now making components for datacenters, and those are also starting to lose ground.
Jensen Huang is personally adding to his fortune though, no doubt about that. But so are all the other tech oligarchs, even if their companies are huge bubbles on the verge of explosion.
nvidia found suckers for thier chips.
Is that like an NFT?
Damn. That’s like bad…
RIP.
Fuck off
