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Deep Learning and Gaming Rig

by akhalid16



Date Published

March 15, 2019

Date Built

Jan. 9, 2019

CPU Clock Rate

3.5 GHz

CPU Temperature While Idle

30.0° C

CPU Temperature Under Load

40.0° C

GPU Core Clock Rate

1.515 GHz

GPU Effective Memory Clock Rate

14 GHz

GPU Temperature While Idle

35.0° C

GPU Temperature Under Load

45.0° C


I use this machine for deep learning as it is part of my research.

It works exquisitely well. I currently have it connected to three monitors (will eventually upgrade to 5 monitors total).

Since I can game on it, I decided to sell my PS4 and strictly game on this machine. I currently play Insurgency: Sandstorm with maxed out settings with a cool 60fps.

I also am re-playing the Mass Effect Trilogy with the latest upgraded texture mods and it looks beautiful.

The only problem I faced was finding the wire that connects the front USB ports to the motherboard. I worked around this by just buying USB extension cables and using the ports in the back.

The BIOS also displays a much higher temperature for the CPU than the utilities I use such as the Threadripper's Ryzen Master, and CAM.

CAM doesn't display fan speed for the GPU, but I suppose that's more of a software issue.

Comments Sorted by:

cryingaxe18 1 Build 2 points 1 month ago

in my opinion you should have gotten a vega 7 which preforms just as good in games as a 2080 but out preforms it in work task which it seems like your doing.

akhalid16 submitter 1 Build 1 point 28 days ago

The RTX line is meant for deep learning though.

cryingaxe18 1 Build 1 point 7 days ago

Incorrect actually the other way around. Rtx is more toward gamers with less vram and higher clocks. Vega 7 have 16gb hbm2 memory which is clocked higher than gddr6 and also more memory for work task (like deep learning) will 100% help oht with what your re doing.

ege_artan 2 points 1 month ago