■ This is an article posted on June 2018, 2, so the content of the information may be out of date.
Deep Learning WS – TITAN Xp 3 Sheets Installation Case We received an inquiry from a customer who viewed the above about a deep learning WS that has four TITAN V.
We would like to use it with a 100V power supply, and the budget was about 300 million yen. Due to the severe availability of GPUs (as of February 2018), we received early requests for materials and requests.
【Main Specifications】
| CPU | Core i7 6900K (3.20GHz 8 cores) |
| memory | 128GB |
| storage | SSD 500GB |
| network | GigabitLAN x2 |
| video | TITAN V 12GB x4 |
| Housing + power supply | Cube housing + 1500W |
| OS | Ubuntu 16.04 64bit |
| Others | CUDA Toolkit installation |
The base is CUDA ToolKit & DIGITS installed Deep learning WS However, if the GPU is TITAN V, we will consult separately regarding the installation of DIGITS because it will be supported by CUDA Toolkit 9 (For the framework, we will install tensorflow / Chainer / CNTK and operate it. I have confirmed it).
| ■ Click here for details and inquiries about this PC case Example of WS for deep learning with 4 TITAN V |
