Machine learning (machine learning)

A customer involved in volcano research contacted us for a workstation for semantic segmentation using MMSegmentation. The budget was approximately […see next]

A customer involved in research on image processing using machine learning asked us about a machine that runs the computational library "JAXopt" that performs GPU processing at high speed. In addition, 3DC […see next]

A customer viewing Case No. PC-10461 asked us about the optimal workstation configuration for first-principles calculations and machine learning. The budget is around 75 yen, […see next]

A customer involved in research and development of chemical products asked us about installing a calculation machine. The molecular dynamics simulation machine currently in operation has many breakdowns, so we are considering updating it. […see next]

This configuration focuses on training and running AI models and neural networks. The installed high-end GPU "RTX6000 Ada" is DeepLearn […see next]

A customer involved in power engineering consulted us about a deep learning machine with a budget of 1300 million yen or less. My hope is to focus on the VRAM capacity of the GPU, and at the same time […see next]

A customer involved in sports and human body structure research asked us about a machine learning machine. In order to introduce a machine learning environment for the first time, we have a starter for the above purpose with a budget of 100 million yen. […see next]

A customer involved in research and development of medical products asked us about a learning machine for large-scale language models for biology. ProteinBERT, ChemBERTa, Hy […see next]