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submitted 7 months ago by petsoi@discuss.tchncs.de to c/linux@lemmy.ml
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[-] RandomLegend@lemmy.dbzer0.com 81 points 7 months ago

Too little too late.

Already sold my 3070 and went for an 7900 XT bcs i got fed up with NVidia being lazy

[-] morrowind@lemmy.ml 25 points 7 months ago

Good. This is the better overall solution

[-] RandomLegend@lemmy.dbzer0.com 11 points 7 months ago

well i dearly miss CUDA as i don't get ZLUDA to work properly with Stable Diffusion and FSR is sill leagues behind DLSS... but yeah overall i am very happy

[-] possiblylinux127@lemmy.zip 1 points 7 months ago

You can run Ollama with AMD acceleration

[-] RandomLegend@lemmy.dbzer0.com 10 points 7 months ago
  1. yes i know, but Cuda is faster
  2. Ollama is for LLM, Stable Diffusion is for images
[-] possiblylinux127@lemmy.zip 3 points 7 months ago

I'm aware I wanted to point out that AMD isn't totally useless in AI.

[-] RandomLegend@lemmy.dbzer0.com 2 points 7 months ago

Oh it definetly isn't

Everything I need does run and I finally don't run out of vram so easily 😅

[-] CrabAndBroom@lemmy.ml 13 points 7 months ago

I had to update my laptop about two years ago and decided to go full AMD and it's been awesome. I've been running Wayland as a daily driver the whole time and and I don't even really notice it anymore.

[-] 30p87@feddit.de 9 points 7 months ago

Even now, choosing between a free 4090 or a free 7900 XTX would be easy.

[-] RandomLegend@lemmy.dbzer0.com 10 points 7 months ago

It totally depends on your usecase.

NVidia runs 100% rocksolid on X11.

If you're someone who reallse uses CUDA and all their stuff and don't care about Wayland. NVidia is the choice you have to make. Simple as that.

If you don't care about those things or are willing to sacrifice time and tinker around with AMDs subpar alternatives, AMD is the way to go.

Because let's face it. AMD didn't care about machine learning stuff and they only now begin to dabble in it. They lost a huge amount of people who work with those things as their day job. They can't tell their bosses and/or clients that they can't work for a week or two until they figured out how to get this alternative running that is just starting to care about that field of work.

[-] 30p87@feddit.de 6 points 7 months ago

Luckily the only way I'm gonna use ML is on my workstation server, which will have it's Quadro M2000 replaced/complemented by my GTX 1070 once I have an AMD GPU in my main PC, because on that I mainly care about running games in 4k, with high settings but without much Raytracing, on Wayland.

[-] kata1yst@sh.itjust.works -1 points 7 months ago

These hypothetical people should use Google Colab or similar services for ML/AI, since it's far cheaper than owning a 4090 or an a100.

[-] RandomLegend@lemmy.dbzer0.com 4 points 7 months ago

These absolutely not hypothetical people should absolutely NOT be using Google Colab.

Keep your data to yourself, don't run shit in the cloud that can be run offline.

[-] kata1yst@sh.itjust.works -1 points 7 months ago

Exactly what data are you worried about giving to Colab?

[-] Andrenikous@lemm.ee 7 points 7 months ago

If the day comes I want to upgrade my 3080 I’ll switch to an AMD solution but until then I’ll take any improvement I can get from Nvidia.

[-] Bulletdust@lemmy.ml -3 points 7 months ago

I don't believe Nvidia were the one's being lazy in this regard, they submitted the merge request for explicit sync quite some time ago now. Wayland devs essentially took their sweet time merging the code.

this post was submitted on 08 Apr 2024
196 points (96.7% liked)

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