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Jonathan Johansson 5cfacdf7b5 First public version.		2021-01-28 22:22:28 +01:00
.gitignore	Initial commit	2021-01-28 21:20:52 +01:00
LICENSE	Initial commit	2021-01-28 21:20:52 +01:00
README.md	First public version.	2021-01-28 22:22:28 +01:00
vgpu_unlock	First public version.	2021-01-28 22:22:28 +01:00

README.md

vgpu_unlock

Unlock vGPU functionality for consumer grade GPUs.

Important!

This tool is a work in progress. In the current state it does not work.

Description

This tool enables the use of Geforce and Quadro GPUs with the NVIDIA vGPU software. NVIDIA vGPU normally only supports a few Tesla GPUs but since some Geforce and Quadro GPUs share the same physical chip as the Tesla this is only a software limitation for those GPUs. This tool works by intercepting the ioctl syscalls between the userspace nvidia-vgpud and nvidia-vgpu-mgr services and the kernel driver. Doing this allows the script to alter the identification and capabilities that the user space services relies on to determine if the GPU is vGPU capable.

Dependencies:

This tool requires Python3, the latest version is recommended.
The python package "frida" is required. pip3 install frida.
The tool requires the NVIDIA GRID vGPU driver to be properly installed for it to do its job. This special driver is only accessible to NVIDIA enterprise customers. The script has only been tested with 11.3 for "KVM on Linux" and may or may not work on other versions.

Installation:

The NVIDIA vGPU drivers will create an nvidia-vgpud and nvidia-vgpu-mgr systemd service. All we have to do is replace the path /usr/bin/ in /lib/systemd/system/nvidia-vgpud.service and /lib/systemd/system/nvidia-vgpu-mgr.service with the path to the vgpu_unlock script and pass the original executable path as the first argument.

NOTE