nvidia-patch

This patch removes restriction on maximum number of simultaneous NVENC video encoding sessions imposed by Nvidia to consumer-grade GPUs.

Requirements:

• ubuntu (< 18.04 for 375.39 nvidia driver or kernel < 4.15)
• nvenc-compatible gpu (https://developer.nvidia.com/video-encode-decode-gpu-support-matrix#Encoder)
• nvidia driver. Patch availible for:
  • 375.39 - https://download.nvidia.com/XFree86/Linux-x86_64/375.39/NVIDIA-Linux-x86_64-375.39.run
  • 390.87 - https://download.nvidia.com/XFree86/Linux-x86_64/390.87/NVIDIA-Linux-x86_64-390.87.run
  • 396.24 - https://download.nvidia.com/XFree86/Linux-x86_64/396.24/NVIDIA-Linux-x86_64-396.24.run
  • 396.26 - https://uk.download.nvidia.com/tesla/396.26/NVIDIA-Linux-x86_64-396.26.run
  • 396.37 - https://uk.download.nvidia.com/tesla/396.37/NVIDIA-Linux-x86_64-396.37.run
  • 396.54 - https://download.nvidia.com/XFree86/Linux-x86_64/396.54/NVIDIA-Linux-x86_64-396.54.run
  • 410.48
  • 410.57 - https://download.nvidia.com/XFree86/Linux-x86_64/410.57/NVIDIA-Linux-x86_64-410.57.run
  • 410.73 - https://download.nvidia.com/XFree86/Linux-x86_64/410.73/NVIDIA-Linux-x86_64-410.73.run
  • 410.78 - https://download.nvidia.com/XFree86/Linux-x86_64/410.78/NVIDIA-Linux-x86_64-410.78.run
  • 410.79 - https://uk.download.nvidia.com/tesla/410.79/NVIDIA-Linux-x86_64-410.79.run

Tested on Ubuntu 18.04 LTS (GNU/Linux 4.15.0-23-generic x86_64)

step-by-step :

Download driver

https://download.nvidia.com/XFree86/Linux-x86_64/410.78/NVIDIA-Linux-x86_64-410.78.run

Install driver (410.78)

mkdir /opt/nvidia && cd /opt/nvidia
wget https://download.nvidia.com/XFree86/Linux-x86_64/410.78/NVIDIA-Linux-x86_64-410.78.run
chmod +x ./NVIDIA-Linux-x86_64-410.78.run
./NVIDIA-Linux-x86_64-410.78.run

Check driver

nvidia-smi

Patch libnvidia-encode.so (with backup)

bash ./patch.sh

Silent patch libnvidia-encode.so

bash ./patch.sh -s

Rollback libnvidia-encode.so (restore from backup)

bash ./patch.sh -r

See also

https://habr.com/post/262563/

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, consider using this patch.