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]
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]
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]
Introduction When introducing a workstation for research purposes, what criteria do you use to select the configuration and type of GPU? "I know the model number and VRAM capacity, but I don't know the actual processing speed or […see next]
A client engaged in research focusing on machine learning and numerical calculations asked us about introducing a workstation that can be used in a 100V environment. The software they planned to use was: […see next]
A customer who uses a workstation for machine learning applications contacted us for advice on this year's workstation configuration. Last year, they installed four RTX 4090s. […see next]
A customer engaged in medical research consulted us about replacing their PC for machine learning and deep learning. Currently, they are using XGBoost on a PC equipped with an RTX 3090. […see next]
We were consulted by a client who was considering introducing a machine for medical image analysis, especially NeuroImaging. The software they planned to use is as follows: […see next]
A client involved in forest research approached us with a request to use satellite images such as Sentinel to analyze forest species composition using machine learning and deep learning. […see next]
A customer involved in generative AI development has informed us that after looking at Case No. PC-10880, they are considering purchasing a machine necessary for LLM calculations in order to utilize LLM in a local environment. […see next]
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