This is a configuration example for using the image analysis software "MIPAR".
It has mid-range specs aimed at a budget of around 150 million yen.
The video card was selected from the GPU requirements listed on the MIPAR official website, and is compatible with deep learning of 8K (8192 x 6144) images and the use of Spotlight and Snap tools.
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 32GB x 4 |
| storage | 1TB SSD M.2 NVMe Gen4 |
| Video | NVIDIA RTX4500 Ada 24GB (DisplayPort x4) |
| network | on board (2.5GbE x1 /10GbE x1) |
| Housing + power supply | Mid-tower case 1000W 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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