this post was submitted on 01 Nov 2025
        
      
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Whooa nellie.
I don't care to get into that, really all I meant was 'they need some low level work'
Popular models and tools/augmentations needed to be quantized better and ported from CUDA to MLX/CoreML... that's it.
That's all, really.
They'd run many times faster and fit in RAM then, as opposed to the 'hacked in' PyTorch frameworks meant for research they run on now. And all Apple needs to do is sick a few engineers on it.
I dunno about Android. That situation is much more complicated, and I'm not sure what the 'best' Vulkan runtime to port to is these days.