this post was submitted on 02 May 2024
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[–] scrubbles@poptalk.scrubbles.tech 61 points 6 months ago (6 children)

I know it's a small set, but for gaming and is honestly king. Unless you want the absolute "I'm willing to pay double the cost for 5% more performance" top of the line, amd is just great.

For AI and compute.... They're far behind. CUDA just wins. I hope a joint standard will be coming up soon, but until then Nvidia wins

[–] gramathy@lemmy.ml 28 points 6 months ago (2 children)

I bought a 7900xtx and have been VERY happy with it.

[–] scrubbles@poptalk.scrubbles.tech 6 points 6 months ago (1 children)

That's what I'm running, and it's honestly better than my partners 3090

[–] gramathy@lemmy.ml 1 points 6 months ago (1 children)

The only thing it’s missing is dedicated video decode hardware (which is mostly a convenience) and an equivalent to shadow play. Otherwise it’s a great alternative to a 4080/S

[–] ryannathans@aussie.zone 7 points 6 months ago* (last edited 6 months ago) (1 children)

Is amd relive not equivalent to shadow play? Can record gameplay in av1 without issue

[–] PenguinTD@lemmy.ca 3 points 6 months ago

You can even skip the whole suite if you don't need the AMD per game driver tweaks. OBS now come with direct AMD av1 support and also can record HDR content.(which relive can't do.)

[–] TropicalDingdong@lemmy.world 22 points 6 months ago

Exactly. I just can't justify a high end GPU purchase if I can't also get some work out of it.

[–] ScreaminOctopus@sh.itjust.works 6 points 6 months ago

This is really only true if you don't count dlss which mops the floor with fsr in terms of visual quality

[–] aard@kyu.de 5 points 6 months ago (1 children)

For AI and compute… They’re far behind. CUDA just wins. I hope a joint standard will be coming up soon, but until then Nvidia wins

I got a W6800 recently. I know a nvidia model of the same generation would be faster for AI - but that thing is fast enough to run stable diffusion variants with high resolution pictures locally without getting too annoyed.

[–] crispyflagstones@sh.itjust.works 4 points 6 months ago* (last edited 6 months ago) (2 children)

The completely different software stack is a killer. It's not that you can't find versions of a model to run, but almost everything that hits the GPU for compute is going to be targeting CUDA, not RocM. From a compatibility standpoint alone this killed AMD for me. I just do not want to spend my time fighting the stack to get these models running.

[–] WormFood@lemmy.world 4 points 6 months ago (1 children)

on the one hand, cuda is vendor lock-in and if we'd all just agreed on an open standard decades ago then we wouldn't be in this mess

but on the other hand, rocm is crap and adaptivecpp is very half baked right now, at least in my limited experience

[–] crispyflagstones@sh.itjust.works 2 points 6 months ago* (last edited 6 months ago)

Yeah, it's not that I like this state of affairs, but right now the vendor lock-in is so one-sided that it's hard to say there's a viable alternative to CUDA. I hope that changes one day.

[–] aard@kyu.de 1 points 6 months ago

Admittedly I'm just toying around for entertainment purposes - but I didn't really have any problems of getting anything I wanted to try out with rocm support. Bigger annoyance was different projects targetting specific distributions or specific software versions (mostly ancient python), but as I'm doing everything in containers anyway that also was manageable.

[–] MonkderDritte@feddit.de 2 points 6 months ago

I know it's a small set, but for gaming and is honestly king.

I feel like the usecases for GPU in industry are more than AI.

[–] DarkThoughts@fedia.io 2 points 6 months ago

Or the rise of dedicated NPUs, but that will likely take even more time (speaking of regular consumers here).