We received a consultation from a customer about a GPU machine for machine learning.We would like to obtain a program that is as small as possible for trial calculation at a cost of about 50 to 70 yen and with a short delivery time.
Originally, there is no problem with Core-i system and Ryzen configuration, but at the time of proposal, the arrival status of these CPUs was unstable, so with the Core-X system configuration where the delivery date was relatively stable. I am proposing.
In addition, since we wanted a small housing, we adopted a compact type product among the tower types, and the GPU is one RTX 3090.
In addition, since it was assumed that there would be no data storage server at the installation location, the system configuration is SSD for system + HDD for data storage in local storage.
The OS is Ubuntu, which is common for deep learning.
【Main Specifications】
| CPU | Core i9 10920X (3.50GHz 12 cores) |
| memory | 32GB (8GBx4) |
| Storage 1 | 1TB SSD (S-ATA) |
| Storage 2 | 4TB HDD (S-ATA) |
| video | NVIDIA Geforce RTX3090 |
| network | on board (10/100 / 1000Base-T x1) |
| Housing + power supply | Middle tower housing (width 210 x height 474 x depth 427 mm) + 850W |
| OS | Ubuntu 20.04 |
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