16 Commits

Author SHA1 Message Date
0e51ef508e Simplify instructions, no need to mess around with any uuids anymore 2023-01-15 13:34:59 +01:00
dcf58742b8 Fix typo 2023-01-04 22:52:39 +01:00
5ec737e1a3 Add better examples for VRAM sizes 2023-01-04 21:57:20 +01:00
d1009fd47a Add small video tutorial on how to obtain the right driver from the nvidia portal 2022-12-28 12:17:40 +01:00
8cef2c6082 Fix typo (wrong version number) 2022-12-28 12:06:13 +01:00
ea99035a5b Fix 'malformed patch' error when applying the patch 2022-12-04 15:38:44 +01:00
ba4b4b4787 Update guide to 15.0 - 525.60.12 2022-12-04 13:09:21 +01:00
22bd687e6d Update guide to 14.3 - 510.108.03 2022-11-24 22:15:30 +01:00
f2b1c0c1e9 Add instructions for supported gpus like the Tesla P4 2022-11-20 13:30:34 +01:00
7f5762abb3 Clarify which guest driver to use when quadro spoofing 2022-11-20 13:04:14 +01:00
e811051d09 Merge branch 'spoof-without-subdevice-update' into 'master'
Clarified how to spoof cards without a subdevice id.

See merge request polloloco/vgpu-proxmox!1
2022-10-29 14:45:12 +00:00
cfd7da5ed2 Clarified how to spoof cards without a subdevice id. 2022-10-29 08:44:20 -05:00
cb0ed9baf3 Fix typo 2022-08-08 16:04:04 +02:00
f224154ea5 Update guide to driver version 510.85.03 (14.2) 2022-08-07 22:05:12 +02:00
919b49ed74 Update guide to driver version 510.73.06 (14.1) 2022-06-11 16:22:58 +02:00
dc9585f91e Change CRLF to LF 2022-06-11 15:05:14 +02:00
5 changed files with 230 additions and 107 deletions

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README.md
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@ -1,12 +1,27 @@
# NVIDIA vGPU with the 510 driver
# NVIDIA vGPU with the GRID 15.0 driver on Proxmox
Thanks to the great work of a `LIL'pingu` in the vgpu unlock discord we can finally use the (at the time of writing) latest NVIDIA GRID driver with the version number 510.47.03 with most consumer GPUs. Personally I have tested the T1000, a turing based card but others from the discord server got it working with a pascal based card as well.
In december 2022, NVIDIA released their latest enterprise GRID driver. I created a patch that allows the use of most consumer GPUs for vGPU. One notable exception from that list is every officially unsupported Ampere GPU and GPUs from the Ada Lovelace generation.
### This tutorial assumes you are using a clean install of Proxmox 7.1, or ymmv when using an existing installation. Make sure to always have backups!
> ## !!! YOUR RTX 30XX OR 40XX WILL NOT WORK AT THIS POINT IN TIME !!!
The patch included in this repository should work on other linux systems with kernel versions >= 5.13 but I have only tested it on proxmox.
This guide and all my tests were done on a RTX 2080 Ti which is based on the Turing architechture.
### This tutorial assumes you are using a clean install of Proxmox 7.3, or ymmv when using an existing installation. Make sure to always have backups!
This guide should work for other linux systems with a recent kernel (5.15 to 5.19) but I have only tested it on the current proxmox version.
If you are not using proxmox, you have to adapt some parts of this tutorial to work for your distribution.
> # Are you upgrading from a previous version of this guide?
>
> If you are upgrading from a previous version of this guide, you should uninstall the old driver first:
> ```
> nvidia-uninstall
> ```
>
> Then you also have to make sure that you are using the latest version of `vgpu_unlock-rs`, otherwise it won't work with the latest driver.
>
> Either delete the folder `/opt/vgpu_unlock-rs` or enter the folder and run `git pull` and then recompile the library again using `cargo build --release`
## Packages
Make sure to add the community pve repo and get rid of the enterprise repo (you can skip this step if you have a valid enterprise subscription)
@ -22,14 +37,7 @@ apt update
apt dist-upgrade
```
By default Proxmox 7.1 has the 5.13 kernel, but you can opt-in to the newer 5.15 version. Both versions work just fine for vGPU.
If you didn't install a newer kernel on proxmox, then skip the following line. If you have the 5.15 kernel, it is required that you also install the corresponding kernel headers:
```bash
apt install -y pve-headers-5.15
```
Next we need to install a few more packages like git, a compiler and some other tools. This is required no matter which kernel version you are using.
We need to install a few more packages like git, a compiler and some other tools.
```bash
apt install -y git build-essential dkms pve-headers mdevctl
```
@ -38,18 +46,18 @@ apt install -y git build-essential dkms pve-headers mdevctl
First, clone this repo to your home folder (in this case `/root/`)
```bash
git clone https://gitlab.com/polloloco/vgpu-5.15.git
git clone https://gitlab.com/polloloco/vgpu-proxmox.git
```
You also need the vgpu_unlock-rs repo
```bash
cd /opt
git clone https://github.com/p0lloloco/vgpu_unlock-rs
git clone https://github.com/mbilker/vgpu_unlock-rs.git
```
After that, install the rust compiler
```bash
curl https://sh.rustup.rs -sSf | sh -s -- -y
curl https://sh.rustup.rs -sSf | sh -s -- -y --profile minimal
```
Now make the rust binaries available in your $PATH (you only have to do it the first time after installing rust)
@ -80,6 +88,14 @@ echo -e "[Service]\nEnvironment=LD_PRELOAD=/opt/vgpu_unlock-rs/target/release/li
echo -e "[Service]\nEnvironment=LD_PRELOAD=/opt/vgpu_unlock-rs/target/release/libvgpu_unlock_rs.so" > /etc/systemd/system/nvidia-vgpu-mgr.service.d/vgpu_unlock.conf
```
> ### Have a vgpu supported card? Read here!
>
> If you don't have a card like the Tesla P4, or any other gpu from [this list](https://docs.nvidia.com/grid/gpus-supported-by-vgpu.html), please continue reading at [Enabling IOMMU](#enabling-iommu)
>
> Disable the unlock part as doing this on a gpu that already supports vgpu, could break things as it introduces unnecessary complexity and more points of possible failure:
> ```bash
> echo "unlock = false" > /etc/vgpu_unlock/config.toml
> ```
## Enabling IOMMU
#### Note: Usually this isn't required for vGPU to work, but it doesn't hurt to enable it. You can skip this section, but if you run into problems later on, make sure to enable IOMMU.
@ -94,7 +110,7 @@ Depending on which system you are using to boot, you have to chose from the foll
<details>
<summary>GRUB</summary>
Open the file `/etc/default/grub` in your favorite editor
```bash
nano /etc/default/grub
@ -128,7 +144,7 @@ Depending on which system you are using to boot, you have to chose from the foll
<details>
<summary>systemd-boot</summary>
The kernel parameters have to be appended to the commandline in the file `/etc/kernel/cmdline`, so open that in your favorite editor:
```bash
nano /etc/kernel/cmdline
@ -225,42 +241,69 @@ Depending on your mainboard and cpu, the output will be different, in my output
## NVIDIA Driver
As of the time of this writing (March 2022), the latest available GRID driver is 14.0 with vGPU driver version 510.47.03. You can check for the latest version [here](https://docs.nvidia.com/grid/). I cannot guarantee that newer versions would work without additional patches, this tutorial only covers 14.0 (510.47.03).
As of the time of this writing (December 2022), the latest available GRID driver is 15.0 with vGPU driver version 525.60.12. You can check for the latest version [here](https://docs.nvidia.com/grid/). I cannot guarantee that newer versions would work without additional patches, the patch in this guide works **ONLY** on 15.0 (525.60.12).
### Obtaining the driver
NVIDIA doesn't let you freely download vGPU drivers like they do with GeForce or normal Quadro drivers, instead you have to download them through the [NVIDIA Licensing Portal](https://nvid.nvidia.com/dashboard/) (see: [https://www.nvidia.com/en-us/drivers/vgpu-software-driver/](https://www.nvidia.com/en-us/drivers/vgpu-software-driver/)). You can sign up for a free evaluation to get access to the download page.
The file you are looking for is called `NVIDIA-GRID-Linux-KVM-510.47.03-511.65.zip`, you can get it from the download portal by downloading version 14.0 for `Linux KVM`.
NB: When applying for an eval license, do NOT use your personal email or other email at a free email provider like gmail.com. You will probably have to go through manual review if you use such emails. I have very good experience using a custom domain for my email address, that way the automatic verification usually lets me in after about five minutes.
After downloading, extract that and copy the file `NVIDIA-Linux-x86_64-510.47.03-vgpu-kvm.run` to your Proxmox host into the `/root/` folder
```bash
scp NVIDIA-Linux-x86_64-510.47.03-vgpu-kvm.run root@pve:/root/
The file you are looking for is called `NVIDIA-GRID-Linux-KVM-525.60.12-525.60.13-527.41.zip`, you can get it from the download portal by downloading version 15.0 for `Linux KVM`.
![Video Tutorial to find the right driver](downloading_driver.mp4)
For those who want to find the file somewhere else, here are some checksums :)
```
sha1: e4147e1dcebfc5459759ea013b56bca1d30f3578
md5: 0e2be7de643b99a62a1cca6ca37fd1ee
```
After downloading, extract that and copy the file `NVIDIA-Linux-x86_64-525.60.12-vgpu-kvm.run` to your Proxmox host into the `/root/` folder
```bash
scp NVIDIA-Linux-x86_64-525.60.12-vgpu-kvm.run root@pve:/root/
```
> ### Have a vgpu supported card? Read here!
>
> If you don't have a card like the Tesla P4, or any other gpu from [this list](https://docs.nvidia.com/grid/gpus-supported-by-vgpu.html), please continue reading at [Patching the driver](#patching-the-driver)
>
> With a supported gpu, patching the driver is not needed, so you should skip the next section. You can simply install the driver package like this:
> ```bash
> chmod +x NVIDIA-Linux-x86_64-525.60.12-vgpu-kvm.run
> ./NVIDIA-Linux-x86_64-525.60.12-vgpu-kvm.run --dkms
> ```
>
> To finish the installation, reboot the system
> ```bash
> reboot
> ```
>
> Now, skip the following two sections and continue at [Finishing touches](#finishing-touches)
### Patching the driver
Now, on the proxmox host, make the driver executable
```bash
chmod +x NVIDIA-Linux-x86_64-510.47.03-vgpu-kvm.run
chmod +x NVIDIA-Linux-x86_64-525.60.12-vgpu-kvm.run
```
And then patch it
```bash
./NVIDIA-Linux-x86_64-510.47.03-vgpu-kvm.run --apply-patch ~/vgpu-5.15/NVIDIA-Linux-x86_64-510.47.03-vgpu-kvm.patch
./NVIDIA-Linux-x86_64-525.60.12-vgpu-kvm.run --apply-patch ~/vgpu-proxmox/525.60.12.patch
```
That should output a lot of lines ending with
That should output a lot of lines ending with
```
Self-extractible archive "NVIDIA-Linux-x86_64-510.47.03-vgpu-kvm-custom.run" successfully created.
Self-extractible archive "NVIDIA-Linux-x86_64-525.60.12-vgpu-kvm-custom.run" successfully created.
```
You should now have a file called `NVIDIA-Linux-x86_64-510.47.03-vgpu-kvm-custom.run`, that is your patched driver.
You should now have a file called `NVIDIA-Linux-x86_64-525.60.12-vgpu-kvm-custom.run`, that is your patched driver.
### Installing the driver
Now that the required patch is applied, you can install the driver
```bash
./NVIDIA-Linux-x86_64-510.47.03-vgpu-kvm-custom.run --dkms
./NVIDIA-Linux-x86_64-525.60.12-vgpu-kvm-custom.run --dkms
```
The installer will ask you `Would you like to register the kernel module sources with DKMS? This will allow DKMS to automatically build a new module, if you install a different kernel later.`, answer with `Yes`.
@ -269,7 +312,7 @@ Depending on your hardware, the installation could take a minute or two.
If everything went right, you will be presented with this message.
```
Installation of the NVIDIA Accelerated Graphics Driver for Linux-x86_64 (version: 510.47.03) is now complete.
Installation of the NVIDIA Accelerated Graphics Driver for Linux-x86_64 (version: 525.60.12) is now complete.
```
Click `Ok` to exit the installer.
@ -288,16 +331,16 @@ nvidia-smi
You should get an output similar to this one
```
Fri Mar 25 11:39:40 2022
Sun Dec 4 12:54:59 2022
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 510.47.03 Driver Version: 510.47.03 CUDA Version: N/A |
| NVIDIA-SMI 525.60.12 Driver Version: 525.60.12 CUDA Version: N/A |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 NVIDIA T1000 On | 00000000:01:00.0 Off | N/A |
| 0% 36C P8 N/A / 50W | 35MiB / 4096MiB | 0% Default |
| 0 NVIDIA GeForce ... On | 00000000:01:00.0 Off | N/A |
| 26% 33C P8 43W / 260W | 85MiB / 11264MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
@ -338,37 +381,27 @@ The output will be similar to this
If this command doesn't return any output, vGPU unlock isn't working.
### Bonus: working `nvidia-smi vgpu` command
I've included an adapted version of the `nvidia-smi` [wrapper script](https://github.com/erin-allison/nvidia-merged-arch/blob/d2ce752cd38461b53b7e017612410a3348aa86e5/nvidia-smi) to get useful output from `nvidia-smi vgpu`.
Without that wrapper script, running `nvidia-smi vgpu` in your shell results in this output
```
No supported devices in vGPU mode
Another command you can try to see if your card is recognized as being vgpu enabled is this one:
```bash
nvidia-smi vgpu
```
With the wrapper script, the output looks similar to this
If everything worked right with the unlock, the output should be similar to this:
```
Fri Mar 25 11:40:18 2022
Sun Dec 4 12:55:09 2022
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 510.47.03 Driver Version: 510.47.03 |
| NVIDIA-SMI 525.60.12 Driver Version: 525.60.12 |
|---------------------------------+------------------------------+------------+
| GPU Name | Bus-Id | GPU-Util |
| vGPU ID Name | VM ID VM Name | vGPU-Util |
|=================================+==============================+============|
| 0 NVIDIA T1000 | 00000000:01:00.0 | 0% |
| 0 NVIDIA GeForce RTX 208... | 00000000:01:00.0 | 0% |
+---------------------------------+------------------------------+------------+
```
To install this script, copy the `nvidia-smi` file from this repo to `/usr/local/bin` and make it executable
```bash
cp ~/vgpu-5.15/nvidia-smi /usr/local/bin/
chmod +x /usr/local/bin/nvidia-smi
However, if you get this output, then something went wrong
```
Run this in your shell (you might have to logout and back in first) to see if it worked
```bash
nvidia-smi vgpu
No supported devices in vGPU mode
```
## vGPU overrides
@ -377,6 +410,14 @@ Further up we have created the file `/etc/vgpu_unlock/profile_override.toml` and
If we take a look at the output of `mdevctl types` we see lots of different types that we can choose from. However, if we for example chose `GRID RTX6000-4Q` which gives us 4GB of vram in a VM, we are locked to that type for all of our VMs. Meaning we can only have 4GB VMs, its not possible to mix different types to have one 4GB VM, and two 2GB VMs.
> ### Important notes
>
> Q profiles *can* give you horrible performance in OpenGL applications/games. To fix that, switch to an equivalent A or B profile (for example `GRID RTX6000-4B`)
>
> C profiles (for example `GRID RTX6000-4C`) only work on Linux, don't try using those on Windows, it will not work - at all.
>
> A profiles (for example `GRID RTX6000-4A`) will NOT work on Linux, they only work on Windows.
All of that changes with the override config file. Technically we are still locked to only using one profile, but now its possible to change the vram of the profile on a VM basis so even though we have three `GRID RTX6000-4Q` instances, one VM can have 4GB or vram but we can override the vram size for the other two VMs to only 2GB.
Lets take a look at this example config override file (its in TOML format)
@ -388,22 +429,21 @@ display_height = 1080 # Maximum display height in the VM
max_pixels = 2073600 # This is the product of display_width and display_height so 1920 * 1080 = 2073600
cuda_enabled = 1 # Enables CUDA support. Either 1 or 0 for enabled/disabled
frl_enabled = 1 # This controls the frame rate limiter, if you enable it your fps in the VM get locked to 60fps. Either 1 or 0 for enabled/disabled
framebuffer = 0x76000000 # VRAM size for the VM. In this case its 2GB
# Other options:
# 1GB: 0x3B000000
# 2GB: 0x76000000
# 3GB: 0xB1000000
# 4GB: 0xEC000000
# 8GB: 0x1D8000000
# 16GB: 0x3B0000000
framebuffer = 0x74000000
framebuffer_reservation = 0xC000000 # In combination with the framebuffer size
# above, these two lines will give you a VM
# with 2GB of VRAM (framebuffer + framebuffer_reservation = VRAM size in bytes).
# See below for some other sizes
[mdev.00000000-0000-0000-0000-000000000100]
[vm.100]
frl_enabled = 0
# You can override all the options from above here too. If you want to add more overrides for a new VM, just copy this block and change the UUID
# You can override all the options from above here too. If you want to add more overrides for a new VM, just copy this block and change the VM ID
```
There are two blocks here, the first being `[profile.nvidia-259]` and the second `[mdev.00000000-0000-0000-0000-000000000100]`.
The first one applies the overrides to all VM instances of the `nvidia-259` type (thats `GRID RTX6000-4Q`) and the second one applies its overrides only to one specific VM, that one with the uuid `00000000-0000-0000-0000-000000000100`.
There are two blocks here, the first being `[profile.nvidia-259]` and the second `[vm.100]`.
The first one applies the overrides to all VM instances of the `nvidia-259` type (thats `GRID RTX6000-4Q`) and the second one applies its overrides only to one specific VM, that one with the proxmox VM ID `100`.
The proxmox VM ID is the same number that you see in the proxmox webinterface, next to the VM name.
You don't have to specify all parameters, only the ones you need/want. There are some more that I didn't mention here, you can find them by going through the source code of the `vgpu_unlock-rs` repo.
@ -416,8 +456,92 @@ display_height = 1080
max_pixels = 2073600
```
### Common VRAM sizes
Here are some common framebuffer sizes that you might want to use:
- 512MB:
```toml
framebuffer = 0x1A000000
framebuffer_reservation = 0x6000000
```
- 1GB:
```toml
framebuffer = 0x38000000
framebuffer_reservation = 0x8000000
```
- 2GB:
```toml
framebuffer = 0x74000000
framebuffer_reservation = 0xC000000
```
- 3GB:
```toml
framebuffer = 0xB0000000
framebuffer_reservation = 0x10000000
```
- 4GB:
```toml
framebuffer = 0xEC000000
framebuffer_reservation = 0x14000000
```
- 5GB:
```toml
framebuffer = 0x128000000
framebuffer_reservation = 0x18000000
```
- 6GB:
```toml
framebuffer = 0x164000000
framebuffer_reservation = 0x1C000000
```
- 8GB:
```toml
framebuffer = 0x1DC000000
framebuffer_reservation = 0x24000000
```
- 10GB:
```toml
framebuffer = 0x254000000
framebuffer_reservation = 0x2C000000
```
- 12GB:
```toml
framebuffer = 0x2CC000000
framebuffer_reservation = 0x34000000
```
- 16GB:
```toml
framebuffer = 0x3BC000000
framebuffer_reservation = 0x44000000
```
- 20GB:
```toml
framebuffer = 0x4AC000000
framebuffer_reservation = 0x54000000
```
- 24GB:
```toml
framebuffer = 0x59C000000
framebuffer_reservation = 0x64000000
```
- 32GB:
```toml
framebuffer = 0x77C000000
framebuffer_reservation = 0x84000000
```
- 48GB:
```toml
framebuffer = 0xB2D200000
framebuffer_reservation = 0xD2E00000
```
`framebuffer` and `framebuffer_reservation` will always equal the VRAM size in bytes when added together.
### Spoofing your vGPU instance
#### Note: This only works on Windows guests, don't bother trying on Linux.
You can very easily spoof your virtual GPU to a different card, so that you could install normal quadro drivers instead of the GRID drivers that require licensing.
For that you just have to add two lines to the override config. In this example I'm spoofing my Turing based card to a normal RTX 6000 Quadro card:
@ -425,7 +549,7 @@ For that you just have to add two lines to the override config. In this example
[profile.nvidia-259]
# insert all of your other overrides here too
pci_device_id = 0x1E30
pci_id = 0x1E3012BA # This is not always required, see below
pci_id = 0x1E3012BA
```
`pci_device_id` is the pci id from the card you want to spoof to. In my case its `0x1E30` which is the `Quadro RTX 6000/8000`.
@ -434,37 +558,25 @@ pci_id = 0x1E3012BA # This is not always required, see below
You can get the IDs from [here](https://pci-ids.ucw.cz/read/PC/10de/). Just Ctrl+F and search the card you want to spoof to, then copy the id it shows you on the left and use it for `pci_device_id`.
After doing that, click the same id, it should open a new page where it lists the subsystems. If there are none listed, you can remove the `pci_id` entry from above. But if there are some, you have to select the one you want and use its id as the second value for `pci_id` (see above).
After doing that, click the same id, it should open a new page where it lists the subsystems. If there are none listed, you must use `0000` as the second value for `pci_id`. But if there are some, you have to select the one you want and use its id as the second value for `pci_id` (see above).
## Important note when spoofing
You have to pick a Quadro Driver from the same driver branch, so in this case R525. Using newer drivers will **NOT WORK** and maybe even make your VM crash.
If you accidentally installed such a driver, its best to either remove the driver completely using DDU or just install a fresh windows VM.
The quadro driver for R525 branch can be found [here (for 527.27)](https://www.nvidia.com/Download/driverResults.aspx/196728/en-us/).
## Drawbacks to spoofing
- You do not have **ANY** CUDA support
- It only works for Windows VMs
- FRL (Framerate limiter) does not work, so no matter what settings you use for `frl_config`, it doesn't apply
## Adding a vGPU to a Proxmox VM
There is only one thing you have to do from the commandline: Open the VM config file and give the VM a uuid.
For that you need your VM ID, in this example I'm using `1000`.
```bash
nano /etc/pve/qemu-server/<VM-ID>.conf
```
So with the VM ID 1000, I have to do this:
```bash
nano /etc/pve/qemu-server/1000.conf
```
In that file, you have to add a new line at the end:
```
args: -uuid 00000000-0000-0000-0000-00000000XXXX
```
You have to replace `XXXX` with your VM ID. With my 1000 ID I have to use this line:
```
args: -uuid 00000000-0000-0000-0000-000000001000
```
Save and exit from the editor. Thats all you have to do from the terminal.
Now go to the proxmox webinterface, go to your VM, then to `Hardware`, then to `Add` and select `PCI Device`.
Go to the proxmox webinterface, go to your VM, then to `Hardware`, then to `Add` and select `PCI Device`.
You should be able to choose from a list of pci devices. Choose your GPU there, its entry should say `Yes` in the `Mediated Devices` column.
Now you should be able to also select the `MDev Type`. Choose whatever profile you want, if you don't remember which one you want, you can see the list of all available types with `mdevctl types`.
@ -473,7 +585,30 @@ Finish by clicking `Add`, start the VM and install the required drivers. After i
Enjoy your new vGPU VM :)
## Credits
## Common problems
Most problems can be solved by reading the instructions very carefully. For some very common problems, read here:
- The nvidia driver won't install/load
- If you were using gpu passthrough before, revert **ALL** of the steps you did or start with a fresh proxmox installation. If you run `lspci -knnd 10de:` and see `vfio-pci` under `Kernel driver in use:` then you have to fix that
- Make sure that you are using a supported kernel version (check `uname -a`)
- My OpenGL performance is absolute garbage, what can I do?
- Read [here](#important-notes)
- `mdevctl types` doesn't output anything, how to fix it?
- Make sure that you don't have unlock disabled if you have a consumer gpu ([more information](#have-a-vgpu-supported-card-read-here))
- vGPU doesn't work on my RTX 3080! What to do?
- [Learn to read](#your-rtx-30xx-or-40xx-will-not-work-at-this-point-in-time)
## Support
If something isn't working, please create an issue or join the [Discord server](https://discord.gg/5rQsSV3Byq) and ask for help in the `#proxmox-support` channel so that the community can help you.
> ### DO NOT SEND ME A DM, I'M NOT YOUR PERSONAL SUPPORT
When asking for help, please describe your problem in detail instead of just saying "vgpu doesn't work". Usually a rough overview over your system (gpu, mainboard, proxmox version, kernel version, ...) and full output of `dmesg` and/or `journalctl --no-pager -b 0 -u nvidia-vgpu-mgr.service` (<-- this only after starting the VM that causes trouble) is helpful.
Please also provide the output of `uname -a` and `cat /proc/cmdline`
## Further reading
Thanks to all these people (in no particular order) for making this project possible
- [DualCoder](https://github.com/DualCoder) for his original [vgpu_unlock](https://github.com/DualCoder/vgpu_unlock) repo with the kernel hooks
@ -483,7 +618,7 @@ Thanks to all these people (in no particular order) for making this project poss
- [rupansh](https://github.com/rupansh) for the original [twelve.patch](https://github.com/rupansh/vgpu_unlock_5.12/blob/master/twelve.patch) to patch the driver on kernels >= 5.12
- mbuchel#1878 on the [GPU Unlocking discord](https://discord.gg/5rQsSV3Byq) for [fourteen.patch](https://gist.github.com/erin-allison/5f8acc33fa1ac2e4c0f77fdc5d0a3ed1) to patch the driver on kernels >= 5.14
- [erin-allison](https://github.com/erin-allison) for the [nvidia-smi wrapper script](https://github.com/erin-allison/nvidia-merged-arch/blob/d2ce752cd38461b53b7e017612410a3348aa86e5/nvidia-smi)
- LIL'pingu#9069 on the [GPU Unlocking discord](https://discord.gg/5rQsSV3Byq) for his patch to nop out code that NVIDIA added to prevent usage of drivers with a version >= 460 with consumer cards
- LIL'pingu#9069 on the [GPU Unlocking discord](https://discord.gg/5rQsSV3Byq) for his patch to nop out code that NVIDIA added to prevent usage of drivers with a version 460 - 470 with consumer cards
If I forgot to mention someone, please create an issue or let me know otherwise.

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@ -1,12 +0,0 @@
#!/usr/bin/bash
for a in $*
do
case $a in
vgpu)
export LD_PRELOAD="/opt/vgpu_unlock-rs/target/release/libvgpu_unlock_rs.so"
;;
esac
done
exec /usr/bin/nvidia-smi $@