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Cake day: June 22nd, 2023

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  • Sure, but you’ll get diminishing returns most likely as consumer hardware doesn’t really have the resources to scale that way very well if all the VMs are running demanding apps simultaneously.

    Even for something like 4 VMs that just do NVenc, there are limits for how many streams the GPU can do. I think there’s another patch that lets you raise that, but at some point you’ll run out of resources quick. Even powerful consumer gear isn’t really designed to be used by more than one user/app and it starts to show the more you virtualize and split those resources.


  • Decipher0771@lemmy.catoSelfhosted@lemmy.worldFully Virtualized Gaming Server?
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    5 months ago

    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.





  • Decipher0771@lemmy.caOPtoPrivacy@lemmy.mlHDMI stream live processing?
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    7 months ago

    Yeah I think hdcp and reprocessing would be most difficult. There are hdmi splitter devices like those used for coloured bias lighting that I think could be used….similarly I think the processing actually isn’t unsolvable, it’s not much different than object detection from a live camera stream. I agree re-encoding the stream would be too hardware intensive for anything “cheap” like a pi, hence the secondary device control alternative initially, but analyzing the stream should be possible.









  • In the house, anywhere with wifi. Can run decently down to 10-15mbps at 1080p60.

    Remotely, over Tailscale, my home uplink is too slow for anything more than 720p60, but its low latency enough I can play games like Mario RPG and get timed hits correct. Or Clone Hero. Games like rocket league tend to be too fast tho, and video breaks up badly.

    so Long as you have fast enough uplink, I think I’d be fine anywhere. Sunshine and moonlight are amazing, I used to use Parsec extensively but now it’s just moonlight and sunshine.