Deep learning is hot, it is all over the news, hacker news, that is.
After some research I am convinced deep learning was not just some fad, it is the real deal, I decided to build a new PC for deep learning. (But really, just an excuse I gave myself for replacing my perfectly fine 3 year old PC.)
Here is the part list:
|name||brand/model/desc||#||CNY ￥||USD $|
|PSU||EVGA SuperNOVA 1600 T2 1600w Titanium||1||2899||387|
|CPU||Intel Core i7-5930k||1||4399||570|
|RAM 1||Kingston HyperX Fury DDR4 2400 32G (16Gx2) kit||3||5097||672|
|RAM 2||Kingston HyperX Fury DDR4 2400 16G (8Gx2) kit||1||899||122|
|video card||Gigabyte GTX1080 G1 Gaming||3||14997||1770|
|Hard Disk 1||Samsung 850 EVO 500GB SSD||1||1299||170|
|Hard Disk 2||WD Black 4TB||1||1999||224|
|DVD Reader||ASUS BW-16D1HT Bluy-ray burner||1||669||84|
|CPU cooler||Phanteks TC14PE||1||399||75|
|WIFI/Bluetooth Card||MSI Wi-Fi AC Kit-S||1||299|
|Fan 1||Phanteks F140XP||2||168||32|
|Fan 2||CoolerMaster FP120 PWM||1||79||18|
|OS||Windows 10 Pro||1||986||140|
|software 1||MS Office 2016 Home-Student||1||499||140|
The reason I choose this combination of CPU/motherboard is the potential to have 4 graphic cards installed on the motherboard. Core i7-5930K has 40 PCIe lanes that supports 4 GPUs. Gigabyte X99-UD4 has 4 evenly spaced PCIe slots. The PSU I got-EVGA 1600w should be more than enough to support 4 GPUs. Is is unlikely I will need 4 graphic cards, but the potential is there.
I got all parts in China and over-paid roughly 15% compared to US, which is funny because almost all of these were assembled in China.
Here are some pictures (click for full photos):