Introducing deep learning workstations with CUDA ToolKit & DIGITS installed

■ This is an article posted on June 2017, 1, so the content of the information may be out of date.

"Deep learning" has been adopted in research in various fields.
You can touch such deep learning from the day it arrives,CUDA Tookit & DIGITS Installed Deep Learning WorkstationThe special page of has been released.

As a usage environment of CUDA of NVIDIA, which is a typical usage environmentCUDA Toolkit As an environment where you can easily use Caffe, which is a typical framework, from a web browser.DIGITS Is installed.

[Basic configuration of deep learning workstation]

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Reference price:374,000JPY

CPU Intel Core i7 6800K 3.40GHz L3 / 15MB 6C / 12T
GPU NVIDIA Geforce GTX1080 8GB
memory Total 16GB DDR4-2133 4GB x 4
storage HDD 1TB S-ATA
I / F USB3.0 x10 / eSATAx2 / PCI-E Gen3.0 x16 (4) / S-ATA 6G x8 / M.2 x1
Housing + power supply Cube case / 1500W power supply installed
OS Ubuntu16.04 / 14.04 (*)
software NVIDIA CUDA Toolkit / DIGITS

* Windows 10 can be selected, but in that case, CUDA Toolkit / DIGITS will not be installed.

This is the recommended basic configuration. From here, it is possible to manufacture a PC with the optimal configuration such as CPU, video card, memory capacity, storage type / capacity, etc. according to the customer's request and budget.

"I want you to install the specified tool"
"I want the framework installed so that it can be used as soon as it arrives."

Please feel free to contact us if you have a request for additional installation of tools or frameworks.We will listen to your requests and consider building an optimal environment for each customer (optional).