| .github/ISSUE_TEMPLATE | ||
| tools | ||
| win | ||
| .gitmodules | ||
| docker-entrypoint.sh | ||
| Dockerfile | ||
| drivers.json | ||
| FFMPEG-with-NVIDIA-Acceleration-on-Ubuntu_UG_v01.pdf | ||
| patch.sh | ||
| PULL_REQUEST_TEMPLATE.md | ||
| README.md | ||
nvidia-patch
This patch removes restriction on maximum number of simultaneous NVENC video encoding sessions imposed by Nvidia to consumer-grade GPUs.
Main target operating system is GNU/Linux, but for Windows support see win.
Requirements:
- x86_64 system architecture
- GNU/Linux operating system
- nvenc-compatible gpu (https://developer.nvidia.com/video-encode-decode-gpu-support-matrix#Encoder)
- Nvidia driver. Patch available for:
Synopsis
# bash ./patch.sh -h
SYNOPSIS
patch.sh [-s] [-r|-h|-c VERSION|-l]
DESCRIPTION
The patch for Nvidia drivers to remove NVENC session limit
-s Silent mode (No output)
-r Rollback to original (Restore lib from backup)
-h Print this help message
-c VERSION Check if version VERSION supported by this patch.
Returns true exit code (0) if version is supported.
-l List supported driver versions
Step-by-Step guide
Examples are provided for driver version 430.50. All commands executed as root.
Download and install driver
Skip this step if you already have installed driver with version supported by this patch (from distro packages, for example).
Make sure you have kernel headers and compiler installed before running Nvidia driver installer. Kernel headers and compiler are required to build nvidia kernel module. Recommended way to do this is to install dkms package, if it is available in your distro. This way dkms package will pull all required dependencies to allow building kernel modules and kernel module builds will be automated in a reliable fashion.
mkdir /opt/nvidia && cd /opt/nvidia
wget https://international.download.nvidia.com/XFree86/Linux-x86_64/430.50/NVIDIA-Linux-x86_64-430.50.run
chmod +x ./NVIDIA-Linux-x86_64-430.50.run
./NVIDIA-Linux-x86_64-430.50.run
Check driver
nvidia-smi
Output should show no errors and details about your driver and GPU.
Patch driver
This patch performs backup of original file prior to making changes.
bash ./patch.sh
You're all set!
Rollback
If something got broken you may restore patched driver from backup:
bash ./patch.sh -r
Docker support
It is possible to use this patch with nvidia-docker containers, even if host machine hasn't patched drivers. See Dockerfile for example.
Essentially all you need to do during build is:
COPYthepatch.shanddocker-entrypoint.shfiles into your container.- Make sure
docker-entrypoint.shis invoked on container start.
docker-entrypoint.sh script does on-the-fly patching by means of manipulating dynamic linker to workaround read-only mount of Nvidia runtime. Finally it passes original docker command to shell, like if entrypoint was not restricted by ENTRYPOINT directive. So docker run --runtime=nvidia -it mycontainer echo 123 will print 123. Also it can be just invoked from your entrypoint script, if you have any.
Benchmarks
- Plex Media Server: nVidia Hardware Transcoding Calculator for Plex Estimates - useful benchmark of achieved simultaneous transcodes with various stream quality and hardware with patched drivers.
See also
- Plex Media Server: enable HW decoding:
- Unraid / Docker:
- GH Issue
- Unraid Nvidia plugin:
- Original research behind this patch
If you experience CreateBitstreamBuffer failed: out of memory (10), then you have to lower buffers number used for every encoding session. If you are using ffmpeg, see option -surfaces ("Number of concurrent surfaces") and try value near -surfaces 8.