We received requests from customers for ImageJ, Matlab, and machines for statistical analysis within a budget of 100 million yen.
Since many medical images are viewed at the same time, there is a desire to be able to view images as quickly as possible, and there are plans to do Deep Learnig, so GPUs are requesting NVIDIA products.
This time, we made an inquiry by looking at Case No. PC-7286, so we proposed the one that was within the budget by improving the specifications as a whole from the configuration of the case.
Since medical images are likely to have a large data resolution (amount of data), it is desirable to secure sufficient memory capacity when expanding and switching multiple images.
Based on this configuration, the maximum memory recognition capacity is 256GB, so if you plan to expand more data, you need to change to the Xeon configuration.
Regarding GPU, we are selecting products equipped with the highest chip at the moment.
However, please note that GPU acceleration and deep learning with Matlab are currently limited and full support will have to wait for future releases and patches.
【Main Specifications】
| CPU | Core i9 10980XE (3.00GHz 18 cores) |
| memory | 256GB (32GBx8) |
| Storage 1 | 2TB SSD (M.2) |
| Storage 2 | 16TB HDD (S-ATA) |
| video | NVIDIA Geforce RTX3090 |
| network | on board (10/100 / 1000Base-T x1) |
| Housing + power supply | Middle tower housing (width 240 x height 475 x depth 5473 mm) + 1200W |
| OS | Windows 10 Professional 64bit |
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■ Click here for details and inquiries about this PC case |
