I recommend Core i3 and some cheap Xeon (yes!). Processor: dual core, at least Core2 Duo.I recommend the Intel platform because of the close connection of Intel-Nvidia and personal friendliness. We will use it.Īlthough this is commonplace, I will list the minimum necessary set of hardware requirements (based on real experience): From myself, I want to say that for video the most common is the popular tool - FFmpeg. The whole variety of Nvidia CUDA implementations can be viewed here. You can try to get around it using the method specified in the second part of YourChief article. Important Note: The entire GeForce line has a license limit of 2 simultaneous streams. Important note: at the time of writing this article (May 2016), only second-generation Maxwell cards can provide any kind of high-quality and fast encoding, and for desktop ones: GM206 (GTX 950, GTX 960), GM204 (GTX 970 and GTX 980) (for references: there are still expensive Nvidia Tesla / Quadro / GRID professional lines, a full list can be found here) Moreover, the NVENC module works at the same speed on all cards and the number of CUDA cores does not affect performance, however strange it may sound, therefore it makes sense to take older versions only if the platform is used (in addition to coding) for games, and even more so, GM206 cards more appropriate since In addition to the encoder, they also received a hardware HEVC decoder. Nvidia NVENC is a technology that provides video encoding in H.264 and HEVC on GPU computing power. In total, I got the opportunity to hardware-encode video in H.264 and HEVC using the Nvidia GTX 960 graphics card on a rather weak computer (Xeon L5420) with a speed (for H.264) exceeding the capabilities of this processor by up to 10 times (and 3 times relative Core i7)! And on my favorite Debian 8 Jessie. oindent Code examples are based off of FFplay, Copyright (c) 2003 Fabrice Bellard, and a tutorial by Martin Bohme.This article was written based on the article Effective video encoding in Linux with Nvidia NVENC: part 1, general, but has its own peculiarities and unlike the original article, at the time of writing of which there was no patch, which will be discussed later, I applied the reworked Nvidia Acceleration patch for FFmpeg 3.0.2, in addition to the nvenc encoder, it also received a quick resize filter - nvresize. To view a copy of this license, visit or send a letter to Creative Commons, 543 Howard Street, 5th Floor, San Francisco, California, 94105, USA. oindent This work is licensed under the Creative Commons Attribution-Share Alike 2.5 License.

Ffmpeg tutorial 3.0.2