Submitted by boosandy t3_zgn046 in deeplearning

I bought an RTX 2060 12 gigs vram for my DL projects. But my desktop already has a GTX980. Now if I connect my 2060 along with the gtx 980, and connect my display to the 980 , will pytorch be use the whole vram of 2060 ?

Is this even a valid set up? Please help.

0

Comments

You must log in or register to comment.

Volhn t1_izhrkd8 wrote

Yes. You might have to specify which device to use though. You also can’t combine memory into one pool, but you can parallelize.

3

incrediblediy t1_izi6n58 wrote

>Now if I connect my 2060 along with the gtx 980, and connect my display to the 980 , will pytorch be use the whole vram of 2060 ?

Yes, I have a similar setup, RTX3090 - No display (full VRAM for training), RTX3060 - 2 Monitors

When I play games, I connect 1 monitor to RTX3090 and play on that, other monitor on RTX3060

2

incrediblediy t1_izm4ey7 wrote

Looks like, GTX980 4GB = 165 W & RTX2080 6GB = 160 W, which would be 325 W. I haven't used Intel K CPUs, so I am not that familiar with power usage of that. But I think 850 W would be more than enough, if it is a proper 850 W PSU, even considering power usage by other components like motherboard, RAM, SSD etc.

You can use this to calculate power requirement https://outervision.com/power-supply-calculator

My power usage is AMD Ryzen 5600x (75 W) + RTX3060 (170W) + RTX3090 (350W) = 595 W at max, I think with other components total was 750 W ( System power budget : https://outervision.com/b/8XoZwf ).

I have a 850 W, Tier A - Deepcool PQ850M which is a Seasonic based 80+ Gold. I have power stress tested with OCCT and it was fine.

1