For years I’ve had a dream of building a rack mounted PC capable of splitting its resources to host multiple GPU intensive VMs:
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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What is the cost of the thin clients and are you doing this over copper?
Are your desks multi monitor? To get the bare minimum in my households scenario I would need at least 12 streams at greater than 1080p
For 5 seats how much did it cost versus just having a computer in each location? For example looking at hdbaset to replace just my desk setup, I would need 4 ~$350 devices, just looking at monoprice for an idea (https://www.monoprice.com/product?p_id=21669) which doesn’t even cover all of the screens in my office.
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 😁.