Earlier quoted context omitted.
My reading of it is: - Core ML is for models designed only for Apple platforms - MLX is for models that don't need to be fast - Core AI is for models that run everywhere already and also need to be fast
This view is a bit off. First, keep in mind that MLX was and will not be able to access the ANE, so it's a total non-starter for anything user-facing. Based on updates to coreml docs, they're trying to sell CoreML as the tool for tabular or domain-specific applications and CoreAI for NNs moving forward.
That's the rationale behind it not being fast.
> so it's a total non-starter for anything user-facing
Yep.