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Good question. I was not terribly excited by the M2 releases because of the 24GB RAM cap. I have a 2020 MBP with 64GB and I enjoy being able to run large ML jobs while my colleagues complain their machines are choking :)



M1 Macbook Air is capped to 16GB, whereas the M1 Pro (on the Macbook Pro) goes up to 32GB and the M1 Max goes up to 64GB.

M2 MBA capped at 24GB seems fair imho. It's a tiny fanless laptop.


Thanks for clarifying. Would be nice to have an M2 with 64GB.


The M1 pro and M1 max are faster than the M2. Might as well get those.


I would be under the impression that the M2 has faster single core performance, but the M1 Pro and Max to have better multi-core performance. Until the M2 Pro and Max come out.


pro and max are the same clock speeds as the base m1, just more 'performance' cores. m2 has faster core speed


The M1 Pro/Max/Ultra exists right now. If TFA is correct, the M2 versions of those are at least a year away.


Ah really, didn’t know that. Thanks for this tip.


If you can disclose, what kindof ML jobs do you run on your MBP? Im interested in ML myself, but I've always found myself sticking to my beefier desktop with cuda. Even now on my M1 MBP 13", using the M1 version of Tensorflow, the iGPU seems to chug, and TF for M1 doesn't always work. Just curious as how you make ML on a mac work for you...


Sure, at the moment these are non-NLP sequence models.




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