- Joined
- Sep 13, 2016
- Messages
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System Name | Workstation |
---|---|
Processor | 2x Intel Xeon E5-2697 V3 |
Motherboard | Supermicro X10DRi-T |
Cooling | 2x Noctua NH-U12DX i4 |
Memory | 4x 32GB Samsung ECC 2400MHz |
Video Card(s) | Nvidia Geforce Titan X (Maxwell) |
Storage | Samsung 6.4TB PM1725a + Intel 800GB 750 series + 2x Micron 4TB 5100 ECO |
Display(s) | 3x BenQ 3200PT + Dell UltraSharp UP2720Q |
Case | NZXT S340 White |
Audio Device(s) | Grace Design m9XX |
Power Supply | Corsair HX850 |
Mouse | Logitech MX Master 3 |
Keyboard | CM NovaTouch TKL (MX compatible stem Topre!) |
Software | Windows 10 |
For anyone wondering, Geforce cards are very cost effective when used for single precision workloads such as deep learning. Sakura Internet's offering of Titan X (Pascal) GPUs is about 4x as cost effective as their best Tesla alternative. Source: https://www.sakura.ad.jp/koukaryoku/specification/