“The business plan seems like it's not got a huge moat - or is there something I'm missing? So is this play just because competing with hugging face is bad PR to the tune of this price tag; or because they're afraid it'll get acquired by somebody else (AMD?”
“Hugging Face was the ultimate neutral marketplace for AI. Now, that marketplace belongs to AMD’s fiercest competitor. Nvidia can subtly dictate which hardware gets first-class support.The CUDA Lock-In Deepens.”
“I have the same, I highly recommend using the MTP Qwen3.6 35B A3B from unsloth at Q5 (https://huggingface.co/unsloth/Qwen3.6-35B-A3B-MTP-GGUF). I run using llama.cpp.”
“The hard half is that `from_pretrained("org/model")` resolves to huggingface.co by default, and that string is sitting in thousands of repos, Dockerfiles, notebooks and papers. Forking transformers takes an afternoon.”
“> Hugging Face has essentially become github for model repositories and I think nvidia wanted to snag that before microsoft does.Given that most of the weights are from Chinese labs and teams, I'm surprised China's own ModelScope hasn't leapfrogged HuggingFace.”
“For anyone running infrastructure on top of this: does a change of ownership at Hugging Face actually move the needle on model availability, pricing, or hosting terms? Or does the neutral-hub reputation just get harder to keep once one shareholder has an obvious stake in the outcome?”
“Grim prediction:"Quantized models are no longer permitted on the Hugging Face platform. Reduced precision models are a safety hazard and a violation of our TOS. Click here to speak with a sales representative about our many exciting cloud hosting offerings or enterprise GPU packages."”
“If Nvidia owns Hugging Face, they have an obvious incentive to make the ecosystem run exceptionally well on Nvidia hardware. That could show up in optimization priorities, tooling, benchmarks, deployment recommendations, or which models get the most attention not necessarily by blocking alternatives.”
“\~You have to appreciate an AI company that calls itself Hugging Face. It sounds warm and friendly, but then you remember what a face hugger actually is...”
“To play devil's advocate: Hugging Face was probably not profitable, and someone has to pay the bills long-term. Nvidia benefits from Hugging Face and the operating costs are pennies to them.”
“hugging face is basically a real easy way to run llms. They also provide a bunch of libraries to do things like split compute across all your resources.”
“The only thing I can see them being able to get away with is increasingly bending the hugging face python API and any other features of that sort they develop to NVIDIA only.”
“There’s a widespread misconception that open source models are useful, and having ownership over Hugging Face will help marketing. Nvidia can also create more demand for GPUs.”
“The part that I wonder is that some dude came up an AI model repo site and named it HuggingFace ? Why not ModelHub, LLMHub, AISquare ? Hugging face really? You are going to name after an emoji?”
“If Hugging Face became a natural starting point for AI development and Nvidia became the easiest path from model experimentation to high-performance deployment… Nvidia could strengthen its position across the entire AI lifecycle.”
“Ok, so you think they discovered multiple zero day vulnerabilities (that are all real and have been patched by third parties), created a whole story around it and somehow paid hugging face or whatever to lie about getting hacked?”
“I expect in the end Hugging Face is too valuable and will be consumed by another corporation with no public interest, and once again, the only alternative for sharing large data will ultimately be bittorrent.”
“Hugging Face isn't doing anything that anyone else couldn't do with a bit of start up costs. All the models have been downloaded and in the wild, it could be built again as there is clearly demand. Please don't assume just because a USian business closes that there isn't any other option in the world?”