Two browsers full of tabs but that is not a problem, but once I start compiling AOSP (which I sometimes want to do for work at home instead in the cloud because it’s easier and faster to debugg) then it eats up all the RAM imediatelly and I have to give it 40 more GB or swap and then this swapping is the bottleneck. Once that is running the computer can’t really do anything else, even the browser struggles.
Comment on GPU prices are coming to earth just as RAM costs shoot into the stratosphere - Ars Technica
NotSteve_@piefed.ca 2 hours agoWhat are you running that needs more than 32Gb? I’m only just barely being bottlenecked by my 24Gb when running games at 4k
jeena@piefed.jeena.net 2 hours ago
hoshikarakitaridia@lemmy.world 2 hours ago
AI or servers probably. I have 40gb and that’s what I would need more ram for.
I’m still salty because I had the idea of going cpu & ram sticks for AI inference literally days before the big AI companies. And my stupid ass didn’t buy them in time before the prices skyrocketed. Fuck me I guess.
panda_abyss@lemmy.ca 1 hour ago
I’m often using 100gb of cram for ai.
Earlier this year I was going to buy a bunch of 1tb ram used servers and I wish I had.
NotMyOldRedditName@lemmy.world 2 hours ago
It does work, but it’s not really fast. I upgraded to 96gb from 32gb, and being able to play with the bigger models was fun, but it’s not something I could do anything productive with it was so slow.
possiblylinux127@lemmy.zip 2 hours ago
Your bottle necked by memory bandwidth
You need ddr5 with lots of memory channels for it to he useful
tal@lemmy.today 2 hours ago
You can have applications where wall clock tine time is not all that critical but large model size is valuable, or where a model is very sparse, so does little computation relative to the size of the model, but for the major applications, I think that that’s correct.
NotMyOldRedditName@lemmy.world 2 hours ago
Ya, that’s fair. If I was doing something I didn’t care about time on, it did work.