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GPU prices are coming to earth just as RAM costs shoot into the stratosphere - Ars Technica (arstechnica.com)
submitted 11 months ago by to c/selfhosted@lemmy.world
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[–] 37 points 11 months ago (11 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

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  • [–] 7 points 11 months ago (2 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.

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  • [–] 6 points 11 months ago (7 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.

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  • [–] 6 points 11 months ago* (4 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.

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  • [–] 3 points 11 months ago* (1 child)

    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.

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