This is a configuration example for using the image analysis software "MIPAR".
This is an entry-level model with specs aimed at a budget of around 100 million yen.
For the video card, we selected a product that supports deep learning at 2K (2048 x 1536) resolution from the GPU requirements listed on the MIPAR official website.
Reference: AI Training System Requirements | MIPAR User Manual
| CPU | Intel Xeon W5-2565X 3.20GHz (up to 3.0GHz at TB4.8) 18C/36T |
| memory | Total 128GB DDR5 5600 REG ECC 64GB x 4 |
| storage | 1TB SSD M.2 NVMe Gen4 |
| Video | NVIDIA RTX2000 Ada 16GB (MiniDisplayPort x4) |
| network | on board (2.5GbE x1 /10GbE x1) |
| Housing + power supply | Mid-tower case 100W 80PLUS PLATINUM |
| OS | Microsoft Windows 11 Professional 64bit |
MIPAR is a product developed by MIPAR Image Analysis, a US company, and distributed by Lightstone Co., Ltd.
In cooperation with Lightstone, we can propose the optimal turnkey system.
We also offer a solution that includes a MIPAR base license, installation and setup, and maintenance support according to the license period, so please feel free to contact us.
KeywordWhat is MIPAR? MIPAR is image analysis software for fields such as materials science and biology. With advanced image detection/analysis and an easy-to-understand interface, it is possible to quickly evaluate the characteristics of microstructures and analyze materials. Optional features include image detection using Deep Learning and volume calculation functions from created 3D images. |
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