Easy-GPU-PV VS vgpu-proxmox

I'm trying to run the update "Update-VMGpuPartitionDriver.ps1" command mentioned in the instructions alongside with my VM and gpu name (which is auto) but it keeps telling me it doesn't recognize that command in both powershell and powershell ISE.

One nice thing about WSL: GPU "passthrough" (via GPU-PV) is handled out-of-the-box.

There are some solutions (such as https://github.com/jamesstringerparsec/Easy-GPU-PV) that makes the process easy if you are using Hyper-V as the hypervisor, but it is not a straightforward task yet. Hopefully that will change in the future!

Using Google Collab would be easier, but if you want to try partitioning GPUs, this might work: https://github.com/jamesstringerparsec/Easy-GPU-PV (No, I haven't tried it, so don't ask me any questions. ;-)

https://github.com/jamesstringerparsec/Easy-GPU-PV Proxmox would be a good option for this.

As far as I know, GPU virtualization (passthrough) is not featured by VirtualBox (was removed in version 6), so it won't let you pass through the GPU to the VM. However, Virtualbox provides 3D acceleration through Guest Additions, which accelerates some VM graphics by running them on the host (old games might run inside the VM). For GPU passthrough on a Windows host, you need to use Hyper-V. See Easy-GPU-P Github page: https://github.com/jamesstringerparsec/Easy-GPU-PV

Windows hosts do not allow PCIe passthrough, but instead use GPU-PV to partition GPU calls to a Windows VM. This GitHub may be helpful in that regard.

There are 3 major options Hyper-V, ESXi or KVM. If you want to you use VM for OBS, you might need to passthrough entire GPU to achieve better results. It is supported on all hypervisors (except Hyper-V on desktop Windows OS). r/vfIO should help with GPU passthrough on KVM. Check the following script for Hyper-V and GPU-P. https://github.com/jamesstringerparsec/Easy-GPU-PV/blob/main/Add-VMGpuPartitionAdapterFiles.psm1

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.