this post was submitted on 06 Apr 2024
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PC Gaming

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[–] Deceptichum@sh.itjust.works 21 points 7 months ago (1 children)
[–] JoMomma@lemm.ee 23 points 7 months ago (1 children)
[–] Deceptichum@sh.itjust.works 6 points 7 months ago (1 children)

I certainly want to upgrade my GPU to something with 24+gb of vram.

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

I certainly want to upgrade so something that isn't NVidia and is made for 4k.

[–] timewarp@lemmy.world 15 points 7 months ago (3 children)

If it has SR-IOV in the consumer version then yes I need it. Otherwise f*ck both AMD & NVIDIA.

[–] RamblingPanda@lemmynsfw.com 6 points 7 months ago (1 children)

I've been out of the loop for some years, could you eli5 for me please?

[–] transientpunk@sh.itjust.works 6 points 7 months ago (1 children)

SR-IOV allows you to share your GPU among many virtual machines in much the same way that you are able to share a single CPU among many VMs

[–] RamblingPanda@lemmynsfw.com 1 points 7 months ago (2 children)

Thanks for the info. I guess that's not that essential for gaming but more for AI specific tasks?

[–] transientpunk@sh.itjust.works 4 points 7 months ago (1 children)

For me, I would love to have a single GPU in my server that I can split up for use in transcoding videos for Plex in one VM, and another VM running something like Blue Iris with AI video analysis.

The potential use cases are many and varied, including some gaming use cases. You could have a single GPU in your Linux desktop, and be able to pass that through to a Windows VM to get native performance gaming in a VM. This is technically already possible, but you need two GPUs. With SR-IOV you could get away with only having one

[–] RamblingPanda@lemmynsfw.com 3 points 7 months ago

Ok, now I want it too. Thanks for the explanation!

[–] Owljfien@iusearchlinux.fyi 4 points 7 months ago* (last edited 7 months ago) (1 children)

Not really ai specifically but VMs. Maybe you want a Windows vm for gaming with a gpu, just give it a slice and it's fine. Maybe you want lots of VMs for all various different office clients, split off sections of the gpu and you can have a bunch of hardware accelerated thin clients

[–] RamblingPanda@lemmynsfw.com 2 points 7 months ago

I've never thought about that, but it makes sense. Thanks for the explanation!

[–] FrankLaskey@lemmy.ml 1 points 7 months ago (1 children)

Okay a quick search tells me this is short for Single-root input/output virtualization right? Can you explain why that would be advantageous in a GPU?

[–] RiQuY@lemm.ee 14 points 7 months ago* (last edited 7 months ago) (1 children)

Hot take but what people need is ROCm support on all RNDA GPUs from 1 to 3, as they promised in the past.

Seems wild to me that even a GTX 1050M can run CUDA but the ROCm hardware support is so limited and shitty.

[–] rickyrigatoni@lemm.ee 4 points 7 months ago

As someone who would prefer to make my 5700XT last the 9 years my 5770 did, I agree. I don't want to be buying a new card every other year just because they didn't bother continuing to support my current.

[–] _sideffect@lemmy.world 4 points 7 months ago

I just bought a nitro plus 7800xt a few months ago... Leave me alone please 😂