We received an inquiry from a customer who is considering a deep learning development machine for joint research. The GTX 980 GPU has been specified according to the customer's current development environment. In addition, we are requesting to use Caffe (Deep Learning framework), CUDA, and mount it on the 19-inch server rack we are currently using.
As for the case, we have specified a GPGPU for desktop workstations, so we proposed a rack-mountable 4U tower case due to the mounting structure and cooling. If you choose a server board regardless of GTX 980, we can also provide 1U to 2U.
In addition, we have also specified the OS and detailed settings at the time of shipment, so this is a guide assuming each of them.
【Main Specifications】
CPU | Xeon E5-1650v4 (3.60GHz 6 cores) |
memory | 64GB ECC REG |
storage | 480GB SSD/1TB HDD |
network | Gigabit LAN x2 |
video | GTX 980 |
Housing + power supply | 4U tower enclosure (using OP rail) + 850W |
OS | Ubuntu 14.04LTS Desktop 64bit (English version / No Japanese environment) |
Others | CUDA Toolkit 7.5 Install |
■ Click here for details and inquiries about this PC case Rack Mount Deep Learning Development Machine |