Also, see this list: https://developer.nvidia.com/video-encode-decode-gpu-support-matrix
You have the Quadro P4000, which is artificially crippled to ~2 concurrent sessions according to the documentation above. On 18 July 2018 at 22:34, Dennis Mungai <[email protected]> wrote: > NVENC runs on a discrete silicon IP core (SIP) block in the GPU, and not > on the GPU's shaders. > That SIP block has hard-coded limits (set in firmware) to ensure that > these who need more than the artificial limit buy Tesla-grade hardware. > > Marketing shills by NVIDIA. > > You can override this limit by using Keylase's nvidia patcher here: > https://github.com/keylase/nvidia-patch > > On 18 July 2018 at 22:00, Yugandhar Veeramachaneni <[email protected]> > wrote: > >> I'm a little confused here because the GPU resource utilization is well >> below the hard limits. >> >> When I run nvidia-smi, this is what I get - >> >> yugandharv@eclairs:~$ nvidia-smi >> Thu Jul 19 00:29:45 2018 >> +----------------------------------------------------------- >> ------------------+ >> | NVIDIA-SMI 390.67 Driver Version: >> 390.67 | >> |-------------------------------+----------------------+---- >> ------------------+ >> | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. >> ECC | >> | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute >> M. | >> |===============================+======================+==== >> ==================| >> | 0 Quadro P4000 Off | 00000000:02:00.0 Off | >> N/A | >> | 52% 55C P0 38W / 105W | 6646MiB / 8117MiB | 25% >> Default | >> +-------------------------------+----------------------+---- >> ------------------+ >> >> >> +----------------------------------------------------------- >> ------------------+ >> | Processes: GPU >> Memory | >> | GPU PID Type Process name >> Usage | >> |=========================================================== >> ==================| >> | 0 983 C /home/yugandharv/bin/ffmpeg >> 229MiB | >> | 0 995 C /home/yugandharv/bin/ffmpeg >> 229MiB | >> | 0 1010 C /home/yugandharv/bin/ffmpeg >> 229MiB | >> | 0 1012 C /home/yugandharv/bin/ffmpeg >> 215MiB | >> | 0 1017 C /home/yugandharv/bin/ffmpeg >> 235MiB | >> | 0 1986 C /home/yugandharv/bin/ffmpeg >> 224MiB | >> | 0 8484 C /home/yugandharv/bin/ffmpeg >> 229MiB | >> | 0 8497 C /home/yugandharv/bin/ffmpeg >> 229MiB | >> | 0 8538 C /home/yugandharv/bin/ffmpeg >> 225MiB | >> | 0 11097 C /home/yugandharv/bin/ffmpeg >> 193MiB | >> | 0 11109 C /home/yugandharv/bin/ffmpeg >> 193MiB | >> | 0 11121 C /home/yugandharv/bin/ffmpeg >> 193MiB | >> | 0 11134 C /home/yugandharv/bin/ffmpeg >> 229MiB | >> | 0 11169 C /home/yugandharv/bin/ffmpeg >> 225MiB | >> | 0 11175 C /home/yugandharv/bin/ffmpeg >> 193MiB | >> | 0 11186 C /home/yugandharv/bin/ffmpeg >> 229MiB | >> | 0 11195 C /home/yugandharv/bin/ffmpeg >> 229MiB | >> | 0 11207 C /home/yugandharv/bin/ffmpeg >> 224MiB | >> | 0 11222 C /home/yugandharv/bin/ffmpeg >> 229MiB | >> | 0 11226 C /home/yugandharv/bin/ffmpeg >> 225MiB | >> | 0 11231 C /home/yugandharv/bin/ffmpeg >> 229MiB | >> | 0 11234 C /home/yugandharv/bin/ffmpeg >> 225MiB | >> | 0 11235 C /home/yugandharv/bin/ffmpeg >> 229MiB | >> | 0 11237 C /home/yugandharv/bin/ffmpeg >> 229MiB | >> | 0 11240 C /home/yugandharv/bin/ffmpeg >> 229MiB | >> | 0 11252 C /home/yugandharv/bin/ffmpeg >> 229MiB | >> | 0 11300 C /home/yugandharv/bin/ffmpeg >> 229MiB | >> | 0 13264 C /home/yugandharv/bin/ffmpeg >> 193MiB | >> | 0 14176 C /home/yugandharv/bin/ffmpeg >> 193MiB | >> | 0 30258 C /home/yugandharv/bin/ffmpeg >> 229MiB | >> +----------------------------------------------------------- >> ------------------+ >> >> >> Thanks, >> >> Yugandhar >> >> On Wed, Jul 18, 2018 at 11:55 AM Dennis Mungai <[email protected]> wrote: >> >> > You mentioned 30 streams. And more cause this to "fail". >> > >> > Perhaps the Quadro line has a maximum simultaneous encoder limit of 30, >> > similar to the GeForce's limit of 2? >> > >> > On Wed, Jul 18, 2018, 19:28 Yugandhar Veeramachaneni < >> [email protected]> >> > wrote: >> > >> > > Hello everyone, >> > > >> > > I'm currently using an NVIDIA Quadro P4000 GPU to transcode multicast >> UDP >> > > streams to RTMP streams. I have quite about 30 streams running in >> > parallel >> > > on this GPU and I have no problems so far. I tried adding more today >> and >> > > many of them are failing with this error. >> > > >> > > [h264_nvenc @ 0x55ef24458040] Loaded Nvenc version 8.1 >> > > [h264_nvenc @ 0x55ef24458040] Nvenc initialized successfully >> > > [h264_nvenc @ 0x55ef24458040] 1 CUDA capable devices found >> > > [h264_nvenc @ 0x55ef24458040] [ GPU #0 - < Quadro P4000 > has Compute >> SM >> > > 6.1 ] >> > > [h264_nvenc @ 0x55ef24458040] Failed creating CUDA context for NVENC: >> 0x2 >> > > [h264_nvenc @ 0x55ef24458040] No NVENC capable devices found >> > > [h264_nvenc @ 0x55ef24458040] Nvenc unloaded >> > > >> > > Full log is pasted at >> > > https://gist.github.com/yugandhar91/47a1c30482d1e89a47f7b6fb6dd420ca >> > > >> > > Can you please point me to my mistake? >> > > >> > > Thanks, >> > > >> > > Yugandhar >> > > _______________________________________________ >> > > ffmpeg-user mailing list >> > > [email protected] >> > > http://ffmpeg.org/mailman/listinfo/ffmpeg-user >> > > >> > > To unsubscribe, visit link above, or email >> > > [email protected] with subject "unsubscribe". >> > _______________________________________________ >> > ffmpeg-user mailing list >> > [email protected] >> > http://ffmpeg.org/mailman/listinfo/ffmpeg-user >> > >> > To unsubscribe, visit link above, or email >> > [email protected] with subject "unsubscribe". >> _______________________________________________ >> ffmpeg-user mailing list >> [email protected] >> http://ffmpeg.org/mailman/listinfo/ffmpeg-user >> >> To unsubscribe, visit link above, or email >> [email protected] with subject "unsubscribe". >> > > _______________________________________________ ffmpeg-user mailing list [email protected] http://ffmpeg.org/mailman/listinfo/ffmpeg-user To unsubscribe, visit link above, or email [email protected] with subject "unsubscribe".
