Nvidia sees the writing in the wall too, hence the big Nemotron effort now. They’ve been pushing open models, but no one can hear them over Altman’s lies.
AMD… is… trying.
Some other companies have made pretty interesting efforts too, like LG and IBM. Huawei already publish a big model to promote their ASICs, and is planning another in weeks. Even some Russian company trained a big open LLM from scratch, though it wasn’t very good TBH.
And this is not even looking outside the LLM space, where all sorts of interesting models are published.
Yeah, NVIDIA knows they have to pivot to the consumer market soon. Apple seems to be going in that direction as well.
Oh don’t mistake me, they are not consumer friendly.
They are just trying to sell enterprise GPUs directly to “consumer” businesses and the cloud providers they use, instead of through literally fraudulent middlemen like OpenAI.
This is what pretty much everyone with hardware is doing, including Huawei, Tenstorrent, Cerebras, even AMD. Maybe I misinterpreted you, but hardly anyone cares about individual self-hosters.
Apple does, though. MLX is actually getting pretty cool. But they’ll always be quite insular, and they still seem detached from what the community is largely doing.
That’s the plan, undercut funding for US AI labs, also the main reason they’ve been releasing open source models after spending millions to train them essentially getting zero financial return. They didn’t release them for the love of FOSS or just donate that capital for the lolz.
I mean anybody who lived through the rise of Linux on the server should understand the benefit of releasing common infrastructure in the open and amortizing costs that way. The real difference in philosophy is that Americans companies treat the model as the product, while Chinese companies see models at infrastructure you build products on top of. You amortize the cost of deploying it at scale by sharing knowledge and iterating quickly to bring the cost down.
