Apple introduces M6 and M5 Ultra
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Re: Apple introduces M6 and M5 Ultra
#2> M5 Ultra features a massive amount of high-bandwidth unified memory, up to 512GB, and delivers a staggering 1.2TB/s of unified memory bandwidth that is 50 percent higher than M3 Ultra.
Apple never needed to participate in the AI race to zero. Because they were already at the finish line years ago building their own chips that can run large >100B parameter AI models locally.
Re: Apple introduces M6 and M5 Ultra
#3> M5 Ultra features a massive amount of high-bandwidth unified memory, up to 512GB, and delivers a staggering 1.2TB/s of unified memory bandwidth that is 50 percent higher than M3 Ultra. Apple never needed to participate in the AI race to zero. Because they were already at the finish line years ago building their own chips that can run large >100B parameter AI models locally.
As someone who works in AI now, I have found it pretty amazing that Apple basically didn't do much with AI software, and focused more on the hardware side. I think this is what the future of AI is going to look like, local models run on your mac for your workflow.
It's possible that they're working on their own LLM that's going to work very well on their chips, and possibly outperform anything out there when they do release it.
Re: Apple introduces M6 and M5 Ultra
#4> M5 Ultra features a massive amount of high-bandwidth unified memory, up to 512GB, and delivers a staggering 1.2TB/s of unified memory bandwidth that is 50 percent higher than M3 Ultra. Apple never needed to participate in the AI race to zero. Because they were already at the finish line years ago building their own chips that can run large >100B parameter AI models locally.
Is there anything comparable that runs Linux, doesn't necessarily look as good, but is perhaps (a lot) cheaper/fixable? Or is this really pretty optimal?
I mean this is not nvidia based right? It's all custom? So we can use it under Asahi perhaps?
I want to get something for my company to run local models, wondering what would be a good option.
Re: Apple introduces M6 and M5 Ultra
#5I know they are a phone company, but I think they should focus on local models software, not only hardware.
Re: Apple introduces M6 and M5 Ultra
#6>fluid frame rates in demanding games like Mixtape.
not getting on that bandwagon but wasn't that not the most demanding game as its a just a nonstop cutscene.
Re: Apple introduces M6 and M5 Ultra
#7> M5 Ultra features a massive amount of high-bandwidth unified memory, up to 512GB, and delivers a staggering 1.2TB/s of unified memory bandwidth that is 50 percent higher than M3 Ultra. Apple never needed to participate in the AI race to zero. Because they were already at the finish line years ago building their own chips that can run large >100B parameter AI models locally.
1.2TB/s is 2/3 the speed of an nVidia 5090.
But you get a generic computer and much more RAM.
And you lose a couple of organs.
Re: Apple introduces M6 and M5 Ultra
#8> M5 Ultra features a massive amount of high-bandwidth unified memory, up to 512GB, and delivers a staggering 1.2TB/s of unified memory bandwidth that is 50 percent higher than M3 Ultra. Apple never needed to participate in the AI race to zero. Because they were already at the finish line years ago building their own chips that can run large >100B parameter AI models locally.
As someone who works in AI now, I have found it pretty amazing that Apple basically didn't do much with AI software, and focused more on the hardware side. I think this is what the future of AI is going to look like, local models run on your mac for your workflow. It's possible that they're working on their own LLM that's going to work very well on their chips, and possibly outperform anything out there when they do…
nth mover advantage.
Re: Apple introduces M6 and M5 Ultra
#9> M5 Ultra features a massive amount of high-bandwidth unified memory, up to 512GB, and delivers a staggering 1.2TB/s of unified memory bandwidth that is 50 percent higher than M3 Ultra. Apple never needed to participate in the AI race to zero. Because they were already at the finish line years ago building their own chips that can run large >100B parameter AI models locally.
Is there anything comparable that runs Linux, doesn't necessarily look as good, but is perhaps (a lot) cheaper/fixable? Or is this really pretty optimal? I mean this is not nvidia based right? It's all custom? So we can use it under Asahi perhaps? I want to get something for my company to run local models, wondering what would be a good option.
I love linux and would be using it if the ARM support was better. It's just not there and most distros that support ARM do it a little poorly. I just haven't seen anything even remotely comparable to Apple Silicon and unfortunately Linux is struggling very hard to support it.
Re: Apple introduces M6 and M5 Ultra
#10>fluid frame rates in demanding games like Mixtape. not getting on that bandwagon but wasn't that not the most demanding game as its a just a nonstop cutscene.
it's not super well optimized I think. unreal engine 5 is taxing even without a lot of gameplay or stuff on screen