this post was submitted on 27 Jun 2023
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Unless the AI processing is much more specialized than graphics, I think manufacturers would put that effort into making more powerful GPUs that can also be used for AI tasks.
They would try to alleviate the cost on running GPU by making an AI accelerator chip like Tensor Core, but it'll get bottleneck by limited VRAM when Neural Net models require steep amount of memory. it's more productive to have something like NPU that runs either on RAM or by it's own memory chips offering higher amount of capacity to run such neural net and avoid the roundtrip data copying between GPU and CPU.
We saw this happen a long time ago with PPUs. Physics Processing Units. They came around for a couple of years, then the graphics cards manufacturers integrated the PPU into the GPU and destroyed any market for PPUs.