Prepared a fresh setup today:

1.ESXi on Dell Precision T3610 XEON E5-1650V2
3.UBUNTU 18LTS with NVIDIA Driver Version: 440.33.01 CUDA Version: 10.2
Installed following the description:

I can see the GPU inside the docker container, but get timeout error (500). I’ve checked :gpu-x5-beta
and the latest official gpu version.
I’ve ran many tests on different HW and the only gpu version I got running is on a WIN10 baremetal install.
any ideas what I’m doing wrong here?

I’m running now the cpu version in the docker and facing this performance which seems to be decent:

I wonder what processing times I can expect with the gpu version and the Quadro K600?
Processing time on an XEON X5560 2.8GHz cpu was 3 sec per face.
300-500ms is similar to the processing time with a GTX 1060 on windows gpu version

I suspect it is pytorch / gpu unsupported as below…

Thank you. I will not waste more time in investigation on the wrong HW. I’ve ordered a K20 Card which supports cuda 3.5.

Coming back to the performance I can expect:
Is it likely to get faster processing times than 300ms. per face with the gpu version of deepstack?

not sure about times for face detection, but if i had to guess I’d say that any GPU that is functional with deepstack would get at least 5x faster responses than an old xeon CPU, or something along those lines.