Easy-GPU-PV VS LibVF.IO

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

Maybe you can try LibVF.IO

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)?

If you are willing to thinker with you gpu driver you could look up libvfio and create multiple VM with the same gpu.

It seems they have issues with recent drivers/kernel, too: https://github.com/Arc-Compute/LibVF.IO/issues/61

I ran it like a year ago it was fine but not for my workflow. Might revisit the setup soon since it matured a lot since then. I suggest you also look at: https://github.com/Arc-Compute/LibVF.IO

For Affinity, I don't know. I have heard of people using Photoshop via VM, the problem usually comes when you need to utilize a lot of GPU because outside of GPU passthrough (might worth researching single-GPU passthrough and libvfio if you don't want to use two GPUs), GPU performance isn't great for VMs. I did find a few threads on the subject of Affinity on Linux, though, so maybe those could help.

I feel you on this. Looking forward to running libvf. Wine has come a long ways, but I ended up keeping a old PC a secondary to not deal with the hacking/workarounds to run some games. Using the older system for my Linux.

It's theoretically possible using a method like libvfio. This should allow you to split your gpu into 2 virtual gpus. It's designed for use with a vm, but could likely work with multi seat

Perhaps not the "best" source code I've ever read, but libVF.io had some beautiful code for what's generally gnarly system-glue code. The iommu setup code is a good example and inspires me to think that system-glue code doesn't need to be gross or impenetrable: https://github.com/Arc-Compute/LibVF.IO/blob/master/src/libv...

Another one I've appreciated reading (and learned more about 2d graphics from) is Pixie, a 2d graphics library written in Nim. Here's the implementation of a fair subset of SVG paths: https://github.com/treeform/pixie/blob/master/src/pixie/path...

And one last one for basic algorithms: https://github.com/nim-lang/Nim/blob/version-1-6/lib/pure/al...

Of course Knuth's original code is still some of the best classic code. K&R's original C book is a classic.