GPU passthrough to virtual machines

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Using a GPU should reduce the load on the CPUs and potentially enable a system to process more or larger camera feeds. It can be tricky to get GPU passthrough working for GPUs to virtual machines. This article is based on running systems. Note that you may also want to consider using a GPU just for object detection (ZMES), not necessarily for ZM.

Nvidia GPU on Proxmox

I have recently Gerdesj (talk) 19:07, 6 September 2024 (EDT) migrated the hardware running VMware (Dell T320) in the next section to Proxmox 8.2. I followed this guide: https://www.theregister.com/2024/06/19/proxmox_xcp_ng_gpu_passthrough/ The Proxmox instructions work

Nvidia GPU in VMware

I have not tested whether all mitigations are still needed, since I first wrote this article. I suggest ignoring the VMware related changes (except for the actual passthrough step!) first and then add them in if they are still an issue. Note that one of them is to avoid a PSOD so ensure you have access to the system if it needs rebooting from a crash.

  • Host: Dell T320, 1 socket Xeon E5-2407 2.2 GHz CPU, BIOS 2.9.0
  • VMware: ESXI 6.5.0 patch level 16576891
  • GPU: MSI Geforce GTX 1050 Ti (this card does not require any host BIOS settings changing, nor Memory Mapped I/O settings on the VM)
  • Cameras: Four Reolink RLC-410. Encoding at 2048 x 1536, 10 fps, High H.264 profile
  • VM: Ubuntu 20.04 LTS server with no extras. Four vCPUs, 6 GB RAM, 30GB root and EFI, 300GB XFS for /var
  • Zoneminder: 1.34 and 1.36

ESXi host

ssh into the host and edit /etc/vmware/passthru.map. Change the word bridge to link. This avoids a PSOD on the host when restarting the VM with the GPU passed through to it. See: https://www.reddit.com/r/vmware/comments/f3xsgj/nvidia_gpu_esx_65_dell_t320_pci_passthrough_crash/ 

# NVIDIA
10de  ffff  link   false

Pass the GPU through to the host using the DirectPath I/O mechanism and reboot, then connect both devices to the VM. There will be an audio card and the video card itself. see: https://blogs.vmware.com/apps/2018/09/using-gpus-with-virtual-machines-on-vsphere-part-2-vmdirectpath-i-o.html

Ubuntu 20.04 VM

The VM must use EFI so the install must use the Ubuntu server installer and not the minimal installer which will not work with efiboot. VM type set to Ubuntu 64 bit.

In Advanced settings for the VM, set the following flag to false. This setting disables informing the VM it is a VM. This avoids a problem where the GPU fails to initialise properly: 

hypervisor.cpuid.v0 = FALSE

Nvidia drivers and CUDA

These instructions stay within the drivers etc provided by Ubuntu 20.04 LTS. NVidia as upstream also provide drivers and these will be newer but may break something. The OS provided ffmpeg has cuda support built in.

Use this command to decide which driver to install: 

# ubuntu-drivers devices

Install the "headless" version of the driver and reboot, optionally install nvidia-utils to get nvidia-smi: 

# apt install nvidia-headless-440
# apt install nvidia-utils-440

Run this to confirm it is working after rebooting, if you have the utils installed: 

# nvidia-smi

If you just need decoding eg for Zoneminder - this provides libnvcuvid.so: libnvidia-decode-440. It should get installed automatically.

If it does not work properly then reboot the ESXi host. For example the two devices seem to pass through OK but only the audio devices seem to work. You may have crashed the GPU in some way. Messing around with drivers and too many restarts of the VM seems to cause this for me.

Testing

Check ffmpeg has cuda support: 

# ffmpeg -hwaccels
ffmpeg version 4.2.4-1ubuntu0.1 Copyright (c) 2000-2020 the FFmpeg developers
...
Hardware acceleration methods:
vdpau
cuda
vaapi
drm
opencl
cuvid

There should be no error messages relating to libraries when you run something like this, which streams from a camera to /dev/null and uses CUDA: 

# ffmpeg -hwaccel cuda -i "rtmp://HOSTNAME_OR_IP/bcs/channel0_main.bcs?channel=0&stream=0&user=admin&password=PASSWORD"  -an -f rawvideo -y /dev/null

In another console, you could run nvidia-smi and see a process using the GPU.

Camera Settings

Camera parameters for reference. Reolinks have three streams - main, sub and ext. main is the clear stream and sub is the lowest quality one. These cameras also have a RTSP stream but that appears to be pretty flakey compared to RTMP. I want to watch these cameras so I monitor at high resolution. If you are building a security system then monitor sub and record main (bold in the URLs in the table.) Monitoring at say 640 x 480 7 frames per second will allow you to monitor a huge number of cameras.

All other settings on defaults. Initial setup done on 1.34. See below for notes on 1.36

Parameter Value
Model Reolink RLC-410-5MP
General
Source Type Ffmpeg
Source
Method TCP
Options n/a
Source Path rtmp://HOSTNAME_OR_IP/bcs/channel0_main.bcs?channel=0&stream=0&user=admin&password=PASSWORD

rtmp://HOSTNAME_OR_IP/bcs/channel0_sub.bcs?channel=0&stream=1&user=admin&password=PASSWORD

DecoderHWAccelName cuda
Target colorspace 32 bit colour
Capture Width 2048
Capture Height 1536
Storage
Save JPEGs Frames + Analysis images (if available)
Video Writer H264 Camera Passthrough

Changes between 1.34 and 1.36

I had to change the buffers settings to stop zmc crashing. Maximum Image Buffer Size (frames) from 25 to 0. The default is 0 if you create a new monitor in 1.36 which autotunes the buffer. Image Buffer Size (frames) to 5 which smoothes the live view. /dev/shm is no longer a concern in 1.36 as it was before (see the release notes: https://forums.zoneminder.com/viewtopic.php?f=1&t=30781 )

See Also

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