vgpu_unlock
LibVF.IO
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vgpu_unlock | LibVF.IO | |
---|---|---|
143 | 35 | |
4,264 | 754 | |
- | 2.1% | |
0.0 | 3.1 | |
about 1 year ago | 4 months ago | |
C | Nim | |
MIT License | GNU Affero General Public License v3.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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 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/
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Custom Active HHHL Cooler For Nvidia P4
If you have a spare GTX/RTX lying around you can also simply use https://github.com/DualCoder/vgpu_unlock
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How to split GPU for multiple guests
OP, this is your only option because the tool vgpu_unlock that would let you split up your card into multiple devices for passthrough on Linux hosts doesn't support Ampere cards like the RTX 3070 yet.
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What do I need to look for when buying a computer for Linux and virtualization?
In the meantime I found the spoofing project for Linux, in case you're interested: github.com/DualCoder/vgpu_unlock
- Any hypervisor that allow gpu passthrough multi vm on single gpu?
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Ask HN: What is something you built but never marketed?
The vGPU feature can be unlocked for several Nvidia GPUs: https://github.com/DualCoder/vgpu_unlock
I did not yet try it myself (maybe it doesn't even work anymore?), and it might not be an option for businesses.
- Running a PROXMOX home lab with 2X Nvidia GPUS split into 4VM's (possible ?)
- best way to implement passthrough with mind to multitasking?
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Failed attempt with vgpu_unlock. Help?
Now get vgpu_unlock: cd git clone https://github.com/DualCoder/vgpu_unlock chmod -R +x vgpu_unlock
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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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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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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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.
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The Death of the PCIe Expansion Card
https://github.com/Arc-Compute/LibVF.IO/tree/master/ plus https://github.com/gnif/LookingGlass works pretty well. If you use an Intel GPU, particularly one of their new Arc dedicated GPUs, it supports the functionality on the consumer grade hardware without any trickery and you just need Looking Glass to map the outputs.
- Libvf.io: Add GPU Virtual Machine (GVM) Support
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GVM: A GPU Virtual Machine for Iommu-Capable Computers
https://github.com/Arc-Compute/LibVF.IO/blob/master/src/libv...
Sure, it also binds/removes mdev devices, which is a nice convenience, and you have a couple of patches applied to the nvidia driver sources, but asking users to blindly execute scripts they have to wade through to find out exactly what they're going to do in kernelspace, plus the system. It's... asking a lot.
You're adding a virtual sound card, nim, shell aliases, samba, plasma, then blindly overwriting any kernel options the user has set without even the good grace of capturing them and appending them:
What are some alternatives?
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.
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.
vgpu_unlock-rs - Unlock vGPU functionality for consumer grade GPUs
vga-passthrough - Up to date (2021) reference for setting up a VGA passthrough on (Ubuntu) Linux.
Single-GPU-Passthrough
winapps - Run Windows apps such as Microsoft Office/Adobe in Linux (Ubuntu/Fedora) and GNOME/KDE as if they were a part of the native OS, including Nautilus integration.
.NET Runtime - .NET is a cross-platform runtime for cloud, mobile, desktop, and IoT apps.
Proton - Compatibility tool for Steam Play based on Wine and additional components
dxvk - Vulkan-based implementation of D3D9, D3D10 and D3D11 for Linux / Wine
vgpu_unlock_5.12 - Unlock vGPU functionality for consumer grade GPUs.
gvt-linux