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In case this helps anyone else I purchased an ASUS GT 1030 2GB GDDR5 for around $100 and now Deepstack GPU works great! (Note: Beware of the GT 1030 cards with inferior GDDR4 RAM. Apparently some manufacturers quietly downgraded). In the end it was my old GT 710 that didn't support the newer...

I came across this post with user _Peek and the same GT 710 GPU. Looks like the issue is lack of Pytorch support for compute capabilities of 3.5 :( . So either I learn how to compile or buy a newer GPU. I am quickly approaching the point where throwing new hardware at the problem might be the...

Did you ever get your GT 710 GPU working? I've followed the tangled web of Deepstack GPU install and it has lead me to your post with my same GPU giving me timeout errors :)

Two other pieces of information... 1) I don't see any Deepstack process running under nvidia-smi.exe , 2) I don't see a drop down for Cuda in the windows performance monitor.

Thanks for the Cuda-Z tip. Apparently the GT 710 supports compute capability of 3.5. Is anyone running Deepstack GPU with this level of support?

Well, despite the great install guide I am still faced with the dreaded Deepstack timeout error. CPU version of Deepstack works fine, just slow to respond (2000ms+) on my older Dell Xeon server. I am using sub-streams. I now think the problem is my super old GPU (GeForce GT 710). I double...

Note that the lib folder on the target directory includes a Win32 and x64 folder. I assume you copied the cuDNN files to the x64 folder?

Thanks for the details! This is from the cuDNN Windows install guide showing the wrong folder locations:

Thanks for the write up, but I am still having problems. It is really confusing when the cuDNN install instructions reference copying the downloaded files into the "C:\Program Files\NVIDIA\CUDNN" directory that doesn't exisit =(

I've had the same problem for months now.... I am running the "latest" BI mobile Android app.... ver 2.0.48 . As with others, accessing on LAN works fine. Accessing via Chrome while on 4G LTE takes multiple attempts and usually will connect....usually. Anything new with this?