LibVF.IO
vgpu_unlock
LibVF.IO | vgpu_unlock | |
---|---|---|
35 | 144 | |
771 | 4,264 | |
1.9% | - | |
3.1 | 0.0 | |
5 months ago | about 1 year ago | |
Nim | C | |
GNU Affero General Public License v3.0 | MIT License |
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LibVF.IO
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run 2 VMs with 1 game on each
Maybe you can try LibVF.IO
- What GPU would you buy for a gaming server?
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GPU virtualization?
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)?
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Local Multiplayer
If you are willing to thinker with you gpu driver you could look up libvfio and create multiple VM with the same gpu.
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Need help ASAP. Computer hangs at grub ""
It seems they have issues with recent drivers/kernel, too: https://github.com/Arc-Compute/LibVF.IO/issues/61
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Anyone running vGPU unlock in their system? How is it going?
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
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Want to try to switch to linux again. Need some info.
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.
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Rx 7900 xtx based on slides is 10-15% slower than 4090 using 95 less watts and costs $600 less
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.
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Why do we call them "display managers"
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
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Ask HN: What's the best source code you've read?
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.
vgpu_unlock
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Tinygrad: Hacked 4090 driver to enable P2P
This isn’t even the first time a hacked driver has been used to unlock some HW feature - https://github.com/DualCoder/vgpu_unlock
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Is there specific hardware to make passthrough GPU easier?
Alternatively enable vGPU for the 2070 and use it for both Jellyfin LXC and Windows VM. https://github.com/DualCoder/vgpu_unlock
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GPU virtualization?
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)?
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GPU pass-through/Sharing between multiple VMs
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
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SR-IOV with RTX 3090 Ti
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
- Gaming PC for Proxmox
- GPU virtualization, RTX 3000, Nvidia, and KVM?
- Hi, I need help building my VMware home-lab environment
- cheap gpu for virtualization and stable diffusion
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GPU Passthrough
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/
What are some alternatives?
gvt-linux
Easy-GPU-PV - A Project dedicated to making GPU Partitioning on Windows easier!
nvidia-patch - This patch removes restriction on maximum number of simultaneous NVENC video encoding sessions imposed by Nvidia to consumer-grade GPUs.
linux - Linux kernel source tree
OSX-KVM - Run macOS on QEMU/KVM. With OpenCore + Monterey + Ventura + Sonoma support now! Only commercial (paid) support is available now to avoid spammy issues. No Mac system is required.
ROCm - AMD ROCm™ Software - GitHub Home [Moved to: https://github.com/ROCm/ROCm]
vgpu_unlock-rs - Unlock vGPU functionality for consumer grade GPUs
linux-intel-lts
vga-passthrough - Up to date (2021) reference for setting up a VGA passthrough on (Ubuntu) Linux.
GVM-user - GVM-user.
Single-GPU-Passthrough