■ This is an article posted on June 2016, 7, so the content of the information may be out of date.
We received an inquiry from a customer regarding a workstation for deep learning. Regarding the specifications, we have specified "CPU: Xeon E5-2697v3 (2.60GHz 14 cores) x 2" "GPU: TESLA K80 x 8", which is in line with that. However, it is of course possible to provide it with v3).
In addition, we wanted to install as much memory and SSD as possible within the budget of 950 million yen, so we have set "Memory: 256GB (ECC LR-DIMM)" and "SSD: 1.2TB S-ATA".In this specification, due to power consumption, power supply of 200V or more requires 4 lines.
【Main Specifications】
| CPU | Xeon E5-2697v3 x2 (2.60GHz 14 cores x2) |
| memory | 256GB ECC LR-DIMMs |
| storage | 1.2TB SSD S-ATA |
| network | Gigabit LAN x2 |
| video | Optional kit for installing TESLA K80 x8 + GPU |
| Housing + power supply | 4U rackmount enclosure + 1600W redundant power supply x 2 (total 3200W) |
| OS | CentOS 7 64bit |
| Others | "Safety +" 5-year warranty |
| ■ Click here for details and inquiries about this PC case Deep Learning Application Machine with K80x8 (16 GPU) |
