this post was submitted on 28 Nov 2025
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Selfhosted

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[–] NotSteve_@piefed.ca 38 points 5 days ago (3 children)

What are you running that needs more than 32Gb? I'm only just barely being bottlenecked by my 24Gb when running games at 4k

[–] comrade_twisty@feddit.org 33 points 5 days ago

Chrome probably

[–] jeena@piefed.jeena.net 7 points 5 days ago (1 children)

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.

[–] usernamesAreTricky@lemmy.ml 10 points 5 days ago (1 children)

Have you tried just compiling it with fewer threads? Would almost certainly reduce the RAM usage, and might even make the compile go faster if it you're needing to swap that heavily

[–] jeena@piefed.jeena.net 2 points 5 days ago

Yeah that's what I'm doing but I played for the fast CPU and can't make it the bottleneck ^^

[–] hoshikarakitaridia@lemmy.world 6 points 5 days ago (2 children)

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.

[–] NotMyOldRedditName@lemmy.world 6 points 5 days ago* (last edited 5 days ago) (2 children)

It does work, but it's not really fast. I upgraded to 96gb ddr4 from 32gb a year or so ago, 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 5 points 5 days ago (1 children)

Your bottle necked by memory bandwidth

You need ddr5 with lots of memory channels for it to he useful

I always thought using ddr5 average speeds with like 64gb in sticks on consumer boards is passable. Not great, but passable.

[–] tal@lemmy.today 3 points 5 days ago* (last edited 5 days ago) (1 children)

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, like today's generative AI chatbots, I think that that's correct.

[–] NotMyOldRedditName@lemmy.world 3 points 5 days ago* (last edited 5 days ago)

Ya, that's fair. If I was doing something I didn't care about time on, it did work. And we weren't talking hours, it it could be many minutes though.

[–] panda_abyss@lemmy.ca 2 points 5 days ago (1 children)

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.

[–] hoshikarakitaridia@lemmy.world 1 points 5 days ago (1 children)

Damn

Yeah used ram is probably where it's at. Maybe you get them used later on from data centers...

[–] kossa@feddit.org 2 points 4 days ago (1 children)

Yep, used ECC server RAM DDR3 or DDR4 is basically thrown out. Unfortunately most consumer mainboards do not support ECC.

This is exactly the reason I'm about to order a dell poweredge r630 with Intel xeon 2680 v4 from alibaba.

Also I've never ordered from alibaba before so we'll see if I get scammed xd