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No good outcome here (media.piefed.zip)
submitted 4 days ago* (last edited 4 days ago) by inari@piefed.zip to c/fuck_ai@lemmy.world
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[-] RushLana 30 points 4 days ago

Sadly no. AI hardware does not relies on the same fundamentals as consumer hardware.

Long story short AI stuff use Float 4 or 8 because accuracy is not a factor. Games or physics simulation use Float 32 or 64.

[-] midribbon_action 6 points 4 days ago* (last edited 4 days ago)

I'm pretty sure the thing about datatypes is wrong. From experience programming shaders the most typical float values were 4 bytes. The physics simulations are run on cpus typically, not gpus, but for graphics processing of all kinds, smaller floats are used. The conclusion is right though.

[-] Gobbel2000@programming.dev 16 points 4 days ago

4 bytes not 4 bits, so 32 bits. You can't do graphics on 4 bits, that's way too small.

[-] midribbon_action 4 points 4 days ago

Good catch, thanks

[-] wonderingwanderer@sopuli.xyz 2 points 3 days ago

Yeah, even the Game&Watch was 8-bit

[-] Valmond@lemmy.dbzer0.com 1 points 3 days ago

But you can use 4bits neural networks.

[-] RushLana 1 points 3 days ago

Some people already replied but I would like to add that even if float type where the right one.

AI dedicated hardware doesn't bundle stuff you usually espect from a gpu like dedicated encoder and decoders.

[-] merc@sh.itjust.works 3 points 3 days ago

The "GPUs" used in these AI datacentres can't even do graphics anymore. They're now sloppy approximate matrix math machines.

[-] Valmond@lemmy.dbzer0.com 3 points 3 days ago

SAS hard drives and server ECC ram incoming!

[-] nixukty@lemmy.zip 1 points 3 days ago

That doesn't really matter. Both AI hardware and consumer hardware use the same underlying materials and components. When supply is low due to AI companies hoarding compute, the prices for all the components rise.

this post was submitted on 19 May 2026
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