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.
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.
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.
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.
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
hydrationhydra. 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.
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.
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.