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?
I’ve also wanted to do this for a while, but there were always a few too many barriers to actually spin up the project. Here’s just a brain dump of things I’ve seen recently.
vGPUs continue to be behind a license. But there is now vgpu_unlock.
L1T just showed off PCIe “fabric” from Liqid that can switch physical devices between machines.
Turning VMs on and off isn’t as slick as either of the above, but that is doable today. You’ll just have to build all the switching automation yourself. That could just be a shell script running QEMU/libvirt commands, at a minimum.
Here is an alternative Piped link(s):
L1T just showed off PCIe “fabric” from Liqid that can switch physical devices between machines.
Piped is a privacy-respecting open-source alternative frontend to YouTube.
I’m open-source; check me out at GitHub.
Why are vGPUs behind a license? They work fine on Linux as they are part of KVM and Virtio.
Why? Product segmentation I suppose. Last I looked, the Virtio project’s efforts were still work-in-progress. The Arch wiki article corroborates that today. Inconsistent behavior across brands and product lines.
