[FFmpeg-user] RES: A question on the Quadro P6000 and maximum simultaneous NVENC encodes in FFmpeg

[Yang Zhang]

The problem is even you using the Tesla P100, and you can see it has 3
NVENC chips inside it. but it has only 1 NVDEC chip, this is very very
important. the bottleneck is at decoding side. this is why you got freezing
or stutter problem. basically, perhaps you can use Tesla P100 encoding 75
hd1080p channels, but you can not decoding more than 25 hd1080p channels on
it.

On Fri, Aug 24, 2018 at 5:51 AM Dennis Mungai <dmngaie at gmail.com> wrote:

> No.
>
> This is as tested on the Tesla P100.
>
> On Fri, 24 Aug 2018 at 00:26, Pedro Daniel Costa <
> portalnet2 at outlook.com.br>
> wrote:
>
> > Ok
> >
> > But with the TESLA models, did you have any issues over 40 streams?
> >
> > I am planning on budge project to run minimum 100channels
> >
> > -----Mensagem original-----
> > De: ffmpeg-user [mailto:ffmpeg-user-bounces at ffmpeg.org] Em nome de
> Dennis
> > Mungai
> > Enviada em: quinta-feira, 23 de agosto de 2018 13:54
> > Para: FFmpeg user questions
> > Assunto: [FFmpeg-user] A question on the Quadro P6000 and maximum
> > simultaneous NVENC encodes in FFmpeg
> >
> > Hello there,
> >
> > For users with this specific card (and FFmpeg installed), kindly clarify
> > on the following:
> >
> > (a). How many simultaneous encoder sessions can you run on this card?
> >
> > (b). Have you ran into any issues, such as stuttering and dropping
> streams
> > with multiple concurrent encodes?
> >
> > I ask because of a recent case where adding more than ~40 concurrent
> > encodes would make the output "drop" and stutter massively, as if FFmpeg
> > itself was hanging, despite the GPU having more than enough VRAM (24GB?)
> > and resources (under ~11% utilization according to nvidia-smi), implying
> > some sort of artificial limitation in effect despite the GPU support
> matrix
> > specifying otherwise:
> > https://developer.nvidia.com/video-encode-decode-gpu-support-matrix
> >
> > Your feedback on this is appreciated.
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