DeepLabCut machine with budget of 100 million yen or less (specs-oriented)

A customer involved in environmental physiology consulted us about purchasing a machine for DeepLabCut ver2.3. The specific specifications were a Core i7 CPU, an RTX A5000 GPU, 2TB x2 SSDs, 64GB memory, and a Linux OS. The budget was within 100 million yen, and we were asked to have the most appropriate PC configuration possible at the lowest possible cost.
In addition to the hardware itself, we would like your proposal to include the installation of DeepLabCut.

Taking these conditions into consideration, we proposed the following specifications:Case No.PC-24000911AAnother variation is to change the GPU to a higher spec product.

CPU Intel Core i7-14700 2.10GHz(8C/16T)+1.50GHz(12C/12T)
memory Total 64GB DDR5-5600 32GB x 2
Storage 1 2TB SSD M.2 NVMe Gen4
Storage 2 2TB SSD M.2 NVMe Gen4
Video NVIDIA RTX4500 Ada 24GB (DisplayPort x4)
network on board(2.5GBase-T x1) Wi-Fi x1
Housing + power supply Middle tower case + 850W
OS Ubuntu 22.04

GPU selection prioritizes video memory capacity

The NVIDIA RTX A5000 24GB you requested is no longer in production, so we have adopted the successor "NVIDIA RTX Ada series". If we consider the amount of video memory as the standard, there is the NVIDIA RTX5000 Ada 24GB, which is the same 4500GB product as the RTX A24. In this case, the RTX4500 Ada is adopted as a case where specifications are prioritized within the budget, but if you are concerned about cost and balance, please see Case No. PC-24000911A.

Reference: Case No. PC-24000911A DeepLabCut machine with budget of 100 million yen or less (priority on cost performance)

Setting up DeepLabCut

During the setup process of DeepLabCut, you will need to provide your OS user information (user name and password). Please let us know when you place your order.

In addition to software installation, we also provide on-site installation services. We also provide support beyond unpacking, cabling, and startup checks, so please feel free to contact us.

■ Keywords

・What is DeepLabCut?

DeepLabCut is an open source deep learning tool for analyzing animal behavior. It can identify specific body parts of animals from videos and track them without markers, providing highly accurate movement analysis.

Reference: DeepLabCut — The Mathis Lab of Adaptive Intelligence *Jumps to an external site

Feel free to request a quote based on your usage and budget - Tegsys' simple inquiry form