Simply because I don’t have any reliable answer to that question, it would be unreasonable to make predictions when there’s no simple technological solution to it, without relying on an entire external Python/Pytorch environment that would need to be installed somewhere on your system, and would not be integrated directly within SL.
There’s a reason why the closest competitors to SpectraLayers, RX and Acoustica, don’t provide any GPU acceleration at all. These hardware technologies are highly complex when you need to have them built in the software itself.
The question of GPU acceleration on mac with SL is not new. And it’s actually already there, as I’ve said several AI modules use GPU acceleration on mac already (not sure why you ignore this ?). For instance Unmix Components, Unmix Drums, DeClip, DeBleed, DeReverb, Unmix Transcription, all use some degree of GPU acceleration on mac.
But stems separation models have a degree of complexity that simply doesn’t run on CoreML, the mac acceleration technology that SL primarily use. Apple did not design CoreML to handle tensors that have dimensions higher than 16384 in size, which several AI audio models use. Every year I talk to Apple in hope they fix their AI model converters for complex models so I could use other Apple technologies, but they simply don’t. And I’ve been in talk with them about this for at least the past 3 years.
If you want better AI models support on mac, you can help by asking Apple for better AI model converter support.