Hello Everyone, I transcoding video on *NVIDIA QUADRO K4000* in Ubuntu (*ffmpeg version is 2.7.1*, NVENC SDK 5.0.1). GPU Memory usage for one stream is 100 MB. Please see an output of nvidia-smi command: +-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |================================================| | 0 832 C /usr/local/bin/ffmpeg 100MiB | | 0 881 C /usr/local/bin/ffmpeg 100MiB | | 0 1526 C /usr/local/bin/ffmpeg 100MiB |
But when I run the same transcoding process with the same ffmpeg parameters on another computer with *NVIDIA GTX 980 TI* (*ffmpeg version is 3.0*, NVENC SDK 5.0.1) then GPU Memory usage for one stream is 170 MB. Please see an output of nvidia-smi command: +-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |================================================| | 0 55008 C /usr/local/bin/ffmpeg 170MiB | | 0 55036 C /usr/local/bin/ffmpeg 170MiB | *Why such a difference in memory usage? Can I decrease a GPU Memory usage on GTX 980 TI to 100MB for one transcode process as on QUADRO K4000?* Best Regards, Ivan Kolesnikov email: ivan.kolesnikov....@gmail.com _______________________________________________ ffmpeg-user mailing list ffmpeg-user@ffmpeg.org http://ffmpeg.org/mailman/listinfo/ffmpeg-user
