mirror of
https://github.com/keylase/nvidia-patch.git
synced 2024-12-23 05:13:34 +00:00
commit
da34ae5167
33
README.md
33
README.md
@ -3,28 +3,29 @@
|
|||||||
This patch removes restriction on maximum number of simultaneous NVENC video encoding sessions imposed by Nvidia to consumer-grade GPUs.
|
This patch removes restriction on maximum number of simultaneous NVENC video encoding sessions imposed by Nvidia to consumer-grade GPUs.
|
||||||
|
|
||||||
Requirements:
|
Requirements:
|
||||||
- ubuntu (< 18.04 for 375.39 nvidia driver or kernel < 4.15)
|
- x86\_64 system architecture
|
||||||
|
- ubuntu (< 18.04 for 375.39 nvidia driver or kernel < 4.15). Also known to work on Debian and CentOS, but not tested widely.
|
||||||
- nvenc-compatible gpu (https://developer.nvidia.com/video-encode-decode-gpu-support-matrix#Encoder)
|
- nvenc-compatible gpu (https://developer.nvidia.com/video-encode-decode-gpu-support-matrix#Encoder)
|
||||||
- nvidia driver. Patch availible for:
|
- Nvidia driver. Patch availible for:
|
||||||
- 375.39 - https://download.nvidia.com/XFree86/Linux-x86_64/375.39/NVIDIA-Linux-x86_64-375.39.run
|
- [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
|
- [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
|
- [396.24](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
|
- [396.26](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
|
- [396.37](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
|
- [396.54](https://download.nvidia.com/XFree86/Linux-x86_64/396.54/NVIDIA-Linux-x86_64-396.54.run)
|
||||||
- 410.48
|
- 410.48
|
||||||
- 410.57 - https://download.nvidia.com/XFree86/Linux-x86_64/410.57/NVIDIA-Linux-x86_64-410.57.run
|
- [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
|
- [410.73](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
|
- [410.78](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
|
- [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)
|
Tested on Ubuntu 18.04 LTS (GNU/Linux 4.15.0-23-generic x86\_64)
|
||||||
|
|
||||||
## step-by-step :
|
## step-by-step :
|
||||||
|
|
||||||
### Download driver
|
### Download driver
|
||||||
https://download.nvidia.com/XFree86/Linux-x86_64/410.78/NVIDIA-Linux-x86_64-410.78.run
|
[https://download.nvidia.com/XFree86/Linux-x86\_64/410.78/NVIDIA-Linux-x86\_64-410.78.run](https://download.nvidia.com/XFree86/Linux-x86_64/410.78/NVIDIA-Linux-x86_64-410.78.run)
|
||||||
|
|
||||||
### Install driver (410.78)
|
### Install driver (410.78)
|
||||||
```bash
|
```bash
|
||||||
@ -58,6 +59,4 @@ bash ./patch.sh -r
|
|||||||
|
|
||||||
https://habr.com/post/262563/
|
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](https://gist.github.com/Snawoot/70ae403716c698cb86ab015626d72bd4).
|
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`.
|
||||||
|
|
||||||
|
|
||||||
|
Loading…
Reference in New Issue
Block a user