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henfredemars ,

Forget the board – can your whimpy-ass power supply handle the load?

RandomlyRight OP ,

No :(

I have a separate gaming PC and am considering to just use that hardware for my NAS and create a VM for gaming

MentalEdge ,
@MentalEdge@sopuli.xyz avatar

Didn’t someone just make a post about a game stream server that would allow multiple gamers to use the same machine? Not with VMs, but multiple users and virtual displays. Using docker.

You’d connect to it via any moonlight client, and it creates the environment for you to use the machine for whatever.

Edit: Yes

pleb_maximus ,

Look at it this way: not only can you run your own AI stuff yourself, you can have your own cloud gaming too!

saltesc ,

You have put yourself into this black hole lol.

“I might just get a- Oh god my gaming rig is now my secondary PC and my credit card hurts. How did this happen?!”

3090s snicker evily in the background

MotoAsh ,

Why use commercial graphics accelerators to run a highly limited “AI”-unique work set? There are specific cards made to accelerate machine learning things that are highly potent with far less power draw than 3090’s.

ShadowRam ,

Well yeah, but 10x the price....

MotoAsh ,

Not if it’s for inference only. What do you think the “AI accelerators” they’re putting in phones now are? Do you think they’d be as expensive or power hungry as an entire 3090 for performance if they were putting them in small devices?

Diabolo96 ,

It’s for inference, not training.

MotoAsh ,

Even better, because those are cheap as hell compared to 3090s.

Diabolo96 ,

But can they run Crysis ?

GBU_28 ,

Huh?

Stuff like llama.cpp really wants a GPU, a 3090 is a great place to start.

mergingapples ,

Because those specific cards are fuckloads more expensive.

d00ery ,

What are you recommending, I’d be interested in something that’s similar in price to 3090.

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