M1 Macbook Pro for Stats PhD ... would there be issues ?

[bob loblaw]

Considering getting a M1 Macbook Pro.  Besides the cost I'm concerned about potential problems with not being able to use some R packages due to compatibility issues with Apple Silicon.

Anyone have any thoughts on this?  Besides tidyverse I'd imagine there isn't a whole lot of packages I would need for classes...  For full context, I go to a very Bayesain program so I'm guessing I'll use my CPU a fair amount.?

[BL4CKxP3NGU1N]

I got a new 2021 Macbook Pro (14" model, M1 Pro CPU) last month to replace my old Windows laptop. Since the Apple silicon chips have been out for a little over a year now, it looks like a fair amount of compatibility issues with various software have been resolved at this point. However, I have seen some issues pop up here and there so far that require a little bit of a workaround (for example, TensorFlow is not currently supported on M1 macs, but it looks like Apple has their own solution to this).

As time goes by, I think any lingering problems should be resolved fairly quickly since all of the new Macs are being built with Apple's CPUs.

I really like my new computer and don't regret my choice at all. If you like MacOS and the cost isn't too much of an issue, I would say go for it. Tidyverse and other common R packages have worked just fine for me.

[bayessays]

I can't comment on the M1 Chip - I assume if it's not resolved like the above user says, it would be soon, since a large % of R usage is on Macbook Pros.  Definitely a good choice going for the Pro though, it will be plenty for your needs.  I got an Air and the performance is a little disappointing. 

[bob loblaw]

Thanks for commenting @BL4CKxP3NGU1N .  That's reassuring since it costs so much to get one.  

Also @bayessays Idunno if you got the latest one but that macbook air doesn't even have a fan?  So apparently they have to throttle the CPU for thermal issues.