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?
The two workstation nooks (spaces) have the capability to have a second monitor but I’ve since retired them in favor of ultrawide monitors which I find are a better experience in general. My current working solution is a split between two technologies: one thin client (second monitors) and one network distribution solution using multicast (primary displays and USB). Both run on copper 1 gig but the multicast traffic requires a switch that doesn’t suck and vlan usage. On average a single port can reach 70-85% usage sustained. I believe my longest run is 150’ ish.
Cost per node is roughly 300- so comparable to what you are experiencing. If I went stupid cheap I could probably cut that to maybe 150-250 depending on my luck with eBay and patience.
In terms of capabilities you could argue that this could be done without distribution using a nuc solution… but you’d have to split resources to reach node you’d need a full feature set at.
My central server is a threadripper build with 2 gpus for direct passthrough to ‘gaming’ vms and a split gpu handling the rest of the needs of the other systems. Thanks to the matrix capabilities any given seat can be any system… or in some cases 2 seats can be a single rig (2 room gaming off the same display). There is a cost savings to be found in splitting resources from a more expensive build out to cheaper nodes… but ymmv depending on active seats and specific needs. I believe as a general rule it should be less costly and more efficient (power/heat) than individual solutions.
Absolutely 👍. I’ll just add that there are a lot of alternate routes to get the result you want so research and experiment but ideally set a deadline which can help with decision paralysis. Later changes are a problem for future you 😁.
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The two workstation nooks (spaces) have the capability to have a second monitor but I’ve since retired them in favor of ultrawide monitors which I find are a better experience in general. My current working solution is a split between two technologies: one thin client (second monitors) and one network distribution solution using multicast (primary displays and USB). Both run on copper 1 gig but the multicast traffic requires a switch that doesn’t suck and vlan usage. On average a single port can reach 70-85% usage sustained. I believe my longest run is 150’ ish.
Cost per node is roughly 300- so comparable to what you are experiencing. If I went stupid cheap I could probably cut that to maybe 150-250 depending on my luck with eBay and patience.
In terms of capabilities you could argue that this could be done without distribution using a nuc solution… but you’d have to split resources to reach node you’d need a full feature set at.
My central server is a threadripper build with 2 gpus for direct passthrough to ‘gaming’ vms and a split gpu handling the rest of the needs of the other systems. Thanks to the matrix capabilities any given seat can be any system… or in some cases 2 seats can be a single rig (2 room gaming off the same display). There is a cost savings to be found in splitting resources from a more expensive build out to cheaper nodes… but ymmv depending on active seats and specific needs. I believe as a general rule it should be less costly and more efficient (power/heat) than individual solutions.
Thanks for the breakdown! This is probably the most helpful breakdown I’ve seen of a build like this.
Absolutely 👍. I’ll just add that there are a lot of alternate routes to get the result you want so research and experiment but ideally set a deadline which can help with decision paralysis. Later changes are a problem for future you 😁.