RTX 4090-equipped MIPAR workstation


We received an inquiry regarding a GPU-equipped workstation to be used for analysis using MIPAR's Spotlight and Deep Learning.
The budget is approximately 100 million yen.

CPU Intel Core Ultra 9 285K 3.70GHz(8C/8T)+3.20GHz(16C/16T)
memory Total 192GB DDR5-5600 48GB x 4
Storage 1 2TB SSD M.2 NVMe Gen4
Video NVIDIA Geforce RTX4090 24GB
network on board(2.5GBase-T x1) Wi-Fi x1
Housing + power supply Mid-tower chassis + 1500W 80PLUS PLATINUM
OS Microsoft Windows 11 Professional 64bit
Other CUDA Toolkit installation

This configuration prioritizes GPU performance to ensure smooth operation of both Spotlight and Deep Learning.

About GPU

In this configuration, parts that meet the performance requirements have been selected based on the GPU requirements for key functions.

Spotlight recommends 16GB or more of VRAM for optimal performance.
DeepLearning specifies the NVIDIA GeForce RTX 4090 as a GPU capable of training and inference at 8K resolution.
for that reason,24GB VRAMIt uses a GeForce RTX 4090 with

*For the official recommended specifications, please check the link below.

Reference: Spotlight_System Requirements
Reference: AI System Requirements – MIPAR User Manual – v5.3

CPU and memory

The official MIPAR documentation recommends a CPU with 8 or more cores and 32GB or more of memory.
This configuration is equipped with an Intel Core Ultra 9 285K (24 cores) and 192GB of memory, ensuring processing performance and memory capacity that far exceeds the recommended requirements.

For those who are worried about introducing MIPAR

In the fields of materials and life sciences, analyzing huge amounts of image data takes time and effort, and ensuring reproducibility and accuracy is a challenge.
MIPAR is software that utilizes AI to easily perform advanced image analysis.
Complex analysis workflows can be automated, and improvements in accuracy and reproducibility can be expected.

We work with our Japanese distributor, Lightstone, to provide a turnkey solution that includes not only the MIPAR base license, but also installation, setup, and maintenance support.
You can also leave the construction of your entire research environment to us.
If you have concerns about "improving the efficiency of image analysis," "introducing AI," or "ensuring reproducibility," please feel free to contact us.

For those who are active in these fields

  • Material engineering
  • Biological image analysis
  • medical imaging
  • Machine learning

Tegara's custom-made PC production service not only caters to initial use, but also supports system expansion in anticipation of future expansion of research scale.
We not only propose configurations that meet various software requirements, but also accept consultations regarding the construction of an entire research environment.
Please feel free to contact us and we will provide the best solution to suit your needs.

Keyword

What is MIPAR?

MIPAR is an AI image analysis software that can analyze particles, cells, crystals, etc. with high precision in materials science and biological research.
Because it is GUI-based and allows no-code operation, it is widely used by researchers and engineers at universities and companies.
Its major features include batch processing with recipe storage and automatic AI detection using Deep Learning, which supports quantitative evaluation of microstructures, quality control, and efficient report creation.

reference:Image analysis software MIPAR (MIPAR Software LLC / Lightstone Japan site) *Jumps to an external site

What is Spotlight?

Spotlight is an optional feature built into MIPAR, an AI detection tool that automatically extracts characteristic regions from images of particles, cells, crystals, etc.
It is used for quantitative analysis of large volumes of images, such as metal structure observation, cell measurement, and defect inspection.
By incorporating it into recipes, high-precision AI detection and batch processing are possible without any programming.
It also supports Japanese language and automatic report output, making it easy to implement.

reference:New option Spotlight special page MIPAR _ Light Stone *Jumps to an external site

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