machineko

I'm working a lot on M1 and few months ago it was unusable for Deep Learning stuff but now its mediocre not good but also not terrible. (even coreml stuff wasn't working properly on M1 2 months ago)

I think i can answer that, first of all Julia isnt as fast as C/C++/Nim etc. in most cases Julia is just fast in scientific computing that's all. (there is only one "scientific" benchmark on kostya benchmarks)

Second to write very fast julia u need to knew a lot of "tricks" and in most cases u won't be doing it as easy as writing normal code.

And all people writing this benchmark is measuring compilation time (XD?) or not including jitting time they could just look at code/readme for 5s before commenting.

Julia is fast and can be as fast as C but not in all cases and not as easy at it seems.

Its okish on ubuntu and wsl but windows still lag hard. Worst think is very narrowed libaries working only on apple devices even most cool open source projects are just locked and are looking only on apple ecosystem (dont get me wrong its huge enough to just ignore other ecosystem at the moment sadly)

GCP wont be killed anytime soon its third biggest cloud provider but i can agree AWS is a lot safer bet.