■ This is an article posted on June 2017, 3, so the content of the information may be out of date.
We received an inquiry from a customer that we are considering a workstation that can be used by switching between deep learning applications, solid works simulation applications, etc. with a budget of about 100 million yen.It seems that the machine you are currently using may not have enough video memory capacity, so we have received requests for configurations that emphasize GPU memory size.
We chose Quadro P5000 as the video card, considering the OpenGL support on the SolidWorks side, in order to emphasize the capacity of the video memory rather than the learning speed. According to customer's request, CPU is selected as Xeon, and it is a proposal with dual boot configuration of Windows 10 + Ubuntu 14.04.
【Main Specifications】
| CPU | Xeon E5-1660v4 (3.2GHz 8 cores) |
| memory | 64GB ECC REG |
| storage | SSD 500GB HDD 4TB |
| network | GigabitLAN x2 |
| video | NVIDIA Quadro P5000 16GB |
| Housing + power supply | Middle tower case + 850W |
| OS | Windows 10 Pro + Ubuntu14.04 (dual boot configuration) |
| Others | 23 inch monitor |
| ■ Click here for details and inquiries about this PC case Deep learning + SolidWorks dual-use WS |
