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Apple unveils M1, its first system-on-a-chip for portable Mac computers

9to5mac.com

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Re: Apple unveils M1, its first system-on-a-chip for portable Mac computers

#91

Post by [deleted] »

saagarjha wrote: post #75
ninkendo wrote: post #54

Earlier quoted context omitted.

huge own-goal on Apple's part. It would be literally impossible for me to use this machine to do my job. I guess I'll have to wait until M2. Edit: If it wasn't clear, this was not a joke. I develop a relatively heavyweight service on the JVM, and between my IDE, the code I run, and all the gradle build daemon stuff, I regularly use up more than 32GB. Often over 50GB. (Although some swap is tolerable, having the major…

How many Slack instances does your job require?!

[deleted]

Re: Apple unveils M1, its first system-on-a-chip for portable Mac computers

#96

Post by 1-more »

AnonHP wrote: post #49

All the Macs looked quite impressive! It was well worth waiting for these (at least for me). But I was disappointed that the maximum RAM is 16GB. I would’ve preferred a 32GB option for better future proofing (especially with web applications needing more and more memory). Edit: Considering the fact that the RAM won’t be upgradeable (it’s part of the SoC), this limitation is a big bummer. What may be worse is that all…

It's wild to me. I still love my 1st gen MBP Retina and it has 16GB memory.

Re: Apple unveils M1, its first system-on-a-chip for portable Mac computers

#98

Post by schoolornot »

This is the result of a decade of intense research and economies of scale with their A* architecture in iPhones and iPads. People liked to criticize Apple for putting overpowered processors in their devices and not having the software to leverage them. The day is finally here!

Re: Apple unveils M1, its first system-on-a-chip for portable Mac computers

#99

Post by jonplackett »

ojosilva wrote: post #28

Apple mentions TensorFlow explicitly in the ongoing presentation due to the new 16-core "Neural Engine" embedded in the M1 chip. Now that's an angle I did not expect on this release. Sounds exciting! Edit: just to clarify, the Neural Engine itself is not really "new": > The A11 also includes dedicated neural network hardware that Apple calls a "Neural Engine". This neural network hardware can perform up to 600 billio…

I can't see how something that tiny can compete in any meaningful way with a giant nVidia type card for training. I'd imagine it's more for running models that have been trained already, like all the stuff they mentioned with Final Cut.
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