> My prediction would be that this will develop in the way that we can soon buy $1 hardware accelerators for things like word embedding, grammar, and general language understanding. And then you need those expensive GPUs only for the last few layers of your LLM, thereby massively reducing deployment costs.

You'd still need a lot of RAM for storing these weights, wouldn't you? I mean, obviously, a $1 accelerator is a great improvement of x,000$ GPUs, but it doesn't mean we all get LLMs working on our phone just yet.