R & D PC configuration example (Tegsys)

We were consulted about the introduction of a high-performance workstation for robot machine learning. The desired specifications were Ubuntu 22.04 OS, Intel Co […see next]

A customer involved in bioinformatics contacted us for a workstation for NGS analysis for individual researchers. The OS is Ubuntu, and the software to be used is […see next]

A researcher working on thermal fluid analysis asked us about introducing a workstation for using Ansys Fluent. Currently, the CPU is an AMD Ryzen 7 9 […see next]

We were consulted about introducing a workstation for the purpose of acquiring multi-view images using industrial cameras and inferencing using deep learning. Eight cameras were connected via a PoE hub and synchronized. […see next]

See detailed Docker setup instructions (TEGSYS) After installing Ubuntu, first install Docker. After setting up Ubuntu on WSL2, you will be prompted to choose "What next?" […see next]

A customer working on single-cell RNA-seq analysis asked us about building an environment based on PC-11781. […see next]

A client engaged in machine learning research using large-scale language models contacted us to discuss the introduction of a high-performance PC for local verification. The client's budget was approximately 250 to 500 million yen. […see next]

A customer working on materials analysis using first-principles calculations (Quantum ESPRESSO) requested a dedicated Linux environment that can handle faster and larger-scale calculations. […see next]