this post was submitted on 15 Jun 2024
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For years I’ve had a dream of building a rack mounted PC capable of splitting its resources to host multiple GPU intensive VMs:

  • a few gaming VMs
  • a VM for work that can run Davinci Resolve and Blender renders
  • an LLM server
  • a Stable Diffusion server
  • media server

Just to name a few possibilities…

Everytime I’ve looked into it, it seemed like the technology just wasn’t there yet. I remember a few years ago Linus TT took a shot at it, but in the end suggested the technology (for non-commercial entities) just wasn’t in a comfortable spot yet.

So how far off are we? Obviously AI focused companies seem to make it work, but what possibilities exist for us self-hosters who might also want to run multiple displays in addition to the web gui LLM servers? And without forking out crazy money for GPU virtualization software licenses?

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[–] Decipher0771@lemmy.ca 22 points 4 months ago* (last edited 4 months ago) (8 children)

I’ve been doing exactly that at home for a couple years now. First with Parsec, now Sunshine/Moonlight.

Host is Proxmox on Ryzen 5800x, 64gm RAM GPU is 2070 Super, with VGPU patched drivers from https://gitlab.com/polloloco/vgpu-proxmox

When I’m gaming I’ll dedicate the full 8Gb to my windows Vm, otherwise I split it in 2 or 4Gb chunks to Jellyfin or my home camera monitoring. 8gb can’t split very many ways, and most things require at least 2 to run.

Locally at home I can run 1440p 60fps rock solid over wifi on any device, from my phone/old laptop/apple tv/raspberry pi. Remote I can do 1080p60, but a bit more hit or miss depending on my network connection.

Experimenting with LLMs I’ve done through the same windows VM, or to a ubuntu dev VM. Works the same way. I’m thinking of transitioning my gaming VM to Linux too.

The amount of VRAM is the hard limitation to get past, the virtualization tech itself has been there for a while.

But to be perfectly honest……it really was just a “let’s see if I could do this” type task, direct GPU pass though is more straightforward and it’s not really worth splitting 8Gb these days. Unless you get a card with significantly more VRAM passthrough is much less work.

[–] fuckwit_mcbumcrumble@lemmy.dbzer0.com 3 points 4 months ago (1 children)

How does the vGPU compare to running it on the bare metal? Last I tried things were painful but technically usable.

[–] Decipher0771@lemmy.ca 3 points 4 months ago

I don’t see any performance differences with the vgpu actually. I have more performance bottlenecks with the CPU, and my RAM isn’t the fastest, so I think I’m more CPU limited. Benchmarks I have run that are GPU focused seem to show little to no difference from what the physical card would do.

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