A customer asked us about a workstation for the software "DeepLabCut" that analyzes animal behavior by deep learning.
We proposed a configuration with Core X series installed according to the customer's specifications, with a budget of 50 to 60 yen.
The proposed OS is the latest Ubuntu 20.04 LTS, but the versions of Tensorflow and CUDA had to be old, so we would like to propose a stable operation that can be used in 18.04 as well. It was.
【Main Specifications】
CPU | Core i9 10900X (3.70GHz 10 cores) |
memory | 64GB (16GBx4) |
storage | System: 500GB SSD S-ATA Data: 4TB HDD S-ATA |
video | NVIDIA Geforce RTX2080 Ti 11GB |
network | on board (Gigabit LAN x 1) |
Housing + power supply | Tower enclosure (width 233 x height 465 x depth 543 mm) + 1000W |
OS | No OS (Ubuntu 20.04 LTS planned) |
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