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Added some improvements to the README. (#42)

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@ -1,24 +1,31 @@
# vgpu\_unlock # vgpu\_unlock
Unlock vGPU functionality for consumer grade GPUs. Unlock vGPU functionality for consumer-grade Nvidia GPUs.
## Important! ## Important!
This tool is very untested, use at your own risk. This tool is not guarenteed to work out of the box in some cases,
so use it at your own risk.
## Description ## Description
This tool enables the use of Geforce and Quadro GPUs with the NVIDIA vGPU 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 graphics virtualization technology. NVIDIA vGPU normally only supports a
Geforce and Quadro GPUs share the same physical chip as the Tesla this is only few datacenter Teslas and professional Quadro GPUs by design, but not
a software limitation for those GPUs. This tool aims to remove this limitation. consumer graphics cards through a software limitation. This vgpu_unlock tool
aims to remove this limitation on Linux based systems, thus enabling
most Maxwell, Pascal, Volta (untested), and Turing based GPUs to
use the vGPU technology. Ampere support is currently a work in progress.
A community maintained Wiki written by Krutav Shah with a lot more information
is [available here.](https://docs.google.com/document/d/1pzrWJ9h-zANCtyqRgS7Vzla0Y8Ea2-5z2HEi4X75d2Q/edit?usp=sharing)
## Dependencies: ## Dependencies:
* This tool requires Python3, the latest version is recommended. * This tool requires Python3 and Python3-pip; the latest version is recommended.
* The python package "frida" is required. `pip3 install frida`. * The python package "frida" is required. `pip3 install frida`.
* The tool requires the NVIDIA GRID vGPU driver. * The tool requires the NVIDIA GRID vGPU driver.
* "dkms" is required as it simplifies the process of rebuilding the * "dkms" is required as it simplifies the process of rebuilding the
@ -38,7 +45,7 @@ Install the NVIDIA GRID vGPU driver, make sure to install it as a dkms module.
Modify the line begining with `ExecStart=` in `/lib/systemd/system/nvidia-vgpud.service` Modify the line begining with `ExecStart=` in `/lib/systemd/system/nvidia-vgpud.service`
and `/lib/systemd/system/nvidia-vgpu-mgr.service` to use `vgpu_unlock` as and `/lib/systemd/system/nvidia-vgpu-mgr.service` to use `vgpu_unlock` as
executable and pass the original executable as the first argument. Ex: the executable and pass the original executable as the first argument. Example:
``` ```
ExecStart=<path_to_vgpu_unlock>/vgpu_unlock /usr/bin/nvidia-vgpud ExecStart=<path_to_vgpu_unlock>/vgpu_unlock /usr/bin/nvidia-vgpud
``` ```
@ -49,7 +56,7 @@ systemctl daemon-reload
``` ```
Modify the file `/usr/src/nvidia-<version>/nvidia/os-interface.c` and add the Modify the file `/usr/src/nvidia-<version>/nvidia/os-interface.c` and add the
following line after the lines begining with `#include` at the start of the following line after the lines begining with `#include` at the beginning of the
file. file.
``` ```
#include "<path_to_vgpu_unlock>/vgpu_unlock_hooks.c" #include "<path_to_vgpu_unlock>/vgpu_unlock_hooks.c"
@ -76,9 +83,14 @@ Reboot.
--- ---
**NOTE** **NOTE**
This script will only work if there exists a vGPU compatible Tesla GPU that This script only works with graphics cards in the same generation as their
uses the same physical chip as the actual GPU being used. professional Tesla counterparts. As a result, only Maxwell and newer
generation Nvidia GPUs are supported. It is not designed to be used with
low end graphics card models, so not all cards are guarenteed to work
smoothly with vGPU. For the best experience, it is recommended to use
graphics cards with the same chip model as the Tesla cards.
The same applies to the operating system as well, as certain bleeding-edge
Linux distributions may not work well with vGPU software.
--- ---