cryptocurrency
I this article I will show NVIDIA RTX 3080 Overclock Settings Hive OS to achieve best performance and electric power efficiency (kH/W) for mining Ethereum. Also you can found best Hive OS mining OC settings for NVIDIA RTX Founders Edition 3060/3070 graphic cards. Used T-Rex miner. NVIDIA RTX
News and Reviews
NVIDIA RTX Voice Without RTX In this article you will learn how to install NVIDIA RTX Voice on GTX Graphic Cards step by step. (Video at the end of the text) On April 16, 2020 NVIDIA released new plugin only for NVIDIA RTX Graphic Cards – NVIDIA RTX Voice. NVIDIA RTX
FFmpeg
Choose GPU To Be Used In FFmpeg In this article i will show how to choose GPU card to be used by NVENC in FFmpeg if you have more than one NVIDIA video card. To see the list of all available GPUs in you system use nvidia-smi command: $ nvidia-smi In
FFmpeg
FFmpeg GPU Transcoding Examples For using FFmpeg hardware acceleration you need compile FFmpeg with NVIDIA NVENC support. How To Compile FFmpeg With NVENC H264 Hardware Encoder. Here is some examples how to use NVENC encoder. Basic FFmpeg GPU transcoding. Decoding part using CPU encoding. Encoding using h264 NVENC video encoder:
CentOS
How To Monitoring NVIDIA GPU Utilization In Linux The NVIDIA GPU Utilization In Linux can be checked with nvidia-smi command. Usage example: ~$ nvidia-smi dmon -i 0 Below you can see my NVIDIA GeForce GTX 1080ti graphic card output example: If you like what you are reading, please: Buy me a
FFmpeg
How To Compile FFmpeg With NVENC H264 Hardware Encoder in Ubuntu 18.04 To enable hardware acceleration transcoding in FFmpeg we need compile FFmpeg with NVENC h264 codec support. Install necessary software: dpkg --add-architecture i386 apt-get update apt-get install build-essential git yasm unzip wget sysstat nasm libc6:i386 \ libavcodec-dev libavformat-dev
FFmpeg
Nvidia GeForce products that are Kepler or Maxwell based are limited to two simultaneous video streams per system using NVENC hardware. Quadro products (Kepler or Maxwell) can encode more than 2 video streams. How to around this limit and run more than 2 FFmpeg transcodings avoid “out of memory” error