image processing is pretty intense and would likely be handled by the GPU. Efficient embedded NN accelerators like this are meant to be used for more passive things, like noise cancelation or like you mentioned, translation.
I don’t know the architecture of AI accelerator in Ryzen processors but I do know a fair amount of image deblurring and denoising tools run on the neural engine on Apple Silicon. The neural engine is good enough for a lot of tasks, provided that your model only uses relatively simple operators and doesn’t need full precision.
Somebody please explain me in very simple words why do I need an AI capable chip in my personal computer. And under Linux, for the most.
Quick local translate, image upscale, ai fill tool. Just throwing ideas out.
image processing is pretty intense and would likely be handled by the GPU. Efficient embedded NN accelerators like this are meant to be used for more passive things, like noise cancelation or like you mentioned, translation.
I don’t know the architecture of AI accelerator in Ryzen processors but I do know a fair amount of image deblurring and denoising tools run on the neural engine on Apple Silicon. The neural engine is good enough for a lot of tasks, provided that your model only uses relatively simple operators and doesn’t need full precision.
@qyron @cm0002 the question is not do you need it? But will you need it one day? Linux is evolving every day and everything can happen
This isnt for you, nor for me. I don’t need an AI-capable chip, I could just use my GPU if for some reason I wanted to run a local transformer model.
IKR, am fine with using cpu and gpu to run llms locally (even tho am trying to avoid using llms), But npus SRSLY