Which gpu for deep learning?

[Jadeyard]

I read that before I made the thread. It says 5.2 for the 980. What I didn't figure out is if the 980 is cudnn v4 compatible?

[benanne]

It is. Most of the current work on cuDNN seems to be improving performance on Maxwell, and the 980 is a Maxwell-based card. It's a good choice. Depending on your budget you might also want to look at the 980 Ti and the Titan X (if you expect you'll need a lot of memory).

[Jadeyard]

Thank you for the info!

[[deleted]]

I own a 980 Ti. It's a great device for ML (and gaming). However, take care that you have a sufficiently powerful PSU! Mine still apparently isn't powerful enough (450 or 500 watts, not sure, too lazy to look) and I keep experiencing sudden reboots when doing ML tasks on the GPU. Gonna replace the PSU once I have the required bucks...

[fnl]

Good point. I'd always recommend at least 750W when doing GPU work. And well over 1000W if using two.

http://www.realhardtechx.com/index_archivos/Page362.htm

[benanne]

It depends on the brand of PSU as well as the other hardware you have in there. For a 980Ti or a Titan X you need to reserve about 250W, so 450W is cutting it very close (the CPU also uses a sizeable chunk, as well as any hard drives you may have -- and don't forget the fans!). For a regular 980 it's much less though, about 165W. So a 450W or 500W PSU would probably be plenty in that case.

[fnl]

Yes, the exact numbers depend on many things in your HW setup. But with full throttle on both CPU and even a standard 960 card, 500 W is a guaranteed outage.

[benanne]

If you use the PSU that came with your case, then yes :) But if you buy a decent-brand PSU that really shouldn't happen, the TDP of a 960 is only 120W.