vgpu-proxmox VS vgpu_unlock

This is a good guide on setting up vGPU. https://gitlab.com/polloloco/vgpu-proxmox

A better way [for me, anyways] is getting GRID drivers running. However, this only works with the 9xx cards up to the 2080.

https://gitlab.com/polloloco/vgpu-proxmox

We've followed PolloLoco's guide and confirmed we had vGPU functioning on the host and could pass vGPU with an A profile to a Windows 10 VM. Profile was overridden to the following (NOTE: nvidia-49 is a Q profile):

Look into proxmox and vgpu, craft has a couple videos on it itself. If you have an ampere + (rtx 3k,rtx 4k series)card, you're out of luck. At least for the "free" version. Also, don't use his videos as step by step guides. They're outdated but good for a general "road map" of his it'll be to set up. I followed this gitlab to setup a test server with a 1660 ti. In theory you should be able to do a windows and Linux VM off the same card. I say in theory because the 5 minutes I tried to set it up it didn't work. I was in a hurry and just haven't gotten back to trying it out.

Although not quite what you want, the T1000, as a Turing-based card, is one of the ones that can support the vGPU hack: https://gitlab.com/polloloco/vgpu-proxmox

For the GPU portion, you can unlock vGPU support in proxmox for free with this script

Most AI projects are going to need a GPU to work. If you really want to get into AI I recommend moving to proxmox and use a Vgpu unlock script to split your GPUs between VMs instead of being limited to one pass through GPU per VM.

This isn’t even the first time a hacked driver has been used to unlock some HW feature - https://github.com/DualCoder/vgpu_unlock

Alternatively enable vGPU for the 2070 and use it for both Jellyfin LXC and Windows VM. https://github.com/DualCoder/vgpu_unlock

I'm on Linux and I'm running a 3070 Ti (Nvidia). I have always wanted to do GPU virtualization but because NVIDIA won't release vGPU for consumer card no one can do it without crossing legal red tape or problems with bricking your GPU. I did find this [https://github.com/jamesstringerparsec/Easy-GPU-PV] however it is only for windows, I found this [https://github.com/Arc-Compute/LibVF.IO/] and does not work with my GPU, and this [https://github.com/DualCoder/vgpu_unlock] and can't get it to work. Done any one know an alternative on Linux that work just like this, overcoming these problems (on KVM)?

Otherwise, your only other option is the real hardware virtualization options that are available. NVIDIA's enterprise vGPU solution is for expensive compute cards however some have had good luck making vGPUs work on consumer NVIDIA cards with tools such as vgpu_unlock

There was a hack to enable it on some consumer cards, but it’s not available on Ampere/30x0 cards: https://github.com/DualCoder/vgpu_unlock/issues/8

Pci passthrough https://github.com/mbilker/vgpu_unlock-rs https://github.com/DualCoder/vgpu_unlock https://github.com/DualCoder/vgpu_unlock/issues/91 https://gitlab.com/polloloco/vgpu-proxmox https://github.com/joeknock90/Single-GPU-Passthrough https://gitlab.com/YuriAlek/vfio#start-here https://www.reddit.com/r/homelab/comments/b5xpua/the_ultimate_beginners_guide_to_gpu_passthrough/ https://forum.level1techs.com/t/single-gpu-passthrough-with-proxmox/113282/2 https://forum.proxmox.com/threads/problem-with-gpu-passthrough.55918/