I'm curious if you can back this up from a technical perspective. I work with mobile (but all Android these days) and it is a mess. Best training ecosystem is P

I'm curious if you can back this up from a technical perspective. I work with mobile (but all Android these days) and it is a mess. Best training ecosystem is Pytorch (and maybe Jax). For inference, you need to endure all manner of pain to optimize/quantize your model (PTQ has perf loss so Training aware quant is key). There are lil operator optimizations (fusion helps perf) but then certain ops have issues on the accelerator you care about. This android experience is mostly related to ARM issues. Q seems to be investing heavily in tooling but now that they are laying people off, I think their toolchain is a bit risky (and may not work if not on Q hardware). Is the story for optimization much different for Apple silicon?