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Learning Workstation - メーカー・企業と製品の一覧

Learning Workstationの製品一覧

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AI inspection and image processing workstation for deep learning

Setup products for those who want to improve deep learning training speed and conduct proof of concept for AI inspection and AI image processing.

Main Use Cases ■ Deep Learning ■ Machine Learning ■ Natural Language Processing ■ Image Recognition and Image Processing ■ Demand Forecasting ■ Speech Recognition and Emotion Recognition ■ Edge AI and AI Inspection ■ Proof of Concept (PoC) ■ AI Drug Discovery ■ Defective Product Detection and Anomaly Detection 【Features】 ■ Equipped with one Geforce RTX3090, offering excellent cost performance ■ Compatible with NGC (NVIDIA GPU Cloud) and includes setup services ■ Mid-tower size that can be installed beside a desk ■ Replacement of older generation products and improvement in learning speed

  • Image analysis software

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A "workstation" specialized in deep learning.

The CERVO Deep series ships with the main frameworks required for deep learning pre-installed on all models!

The "CERVO Deep Series" is a workstation specifically focused on Deep Learning, which is particularly noteworthy among GPGPU workstations. Currently, research and development of AI utilizing deep learning is becoming active in various fields. The "CERVO Deep Linux Series" is a machine suitable for research and development in deep learning, equipped with the most commonly used OS for Deep Learning, Ubuntu 16.04 LTS/18.04 LTS. 【Features】 ■ Development environment built with a dedicated Deep Learning model ■ Equipped with Ubuntu 16.04 LTS/18.04 LTS as the OS ■ Adopts NVIDIA® Tesla®/Quadro® GeForce® series ■ Comes with a recovery USB

  • 4.jpg
  • 5.jpg
  • Image Processing Software
  • Virtual Reality Related
  • Encoder/Decoder

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A dedicated model designed for deep learning! Supports "multi-GPU".

An OS, framework, and libraries optimized for deep learning are pre-installed!

The "CERVO Deep Type-DPCV" is a dedicated model optimized for deep learning, pre-installed with an OS (Ubuntu 16.04 LTS), frameworks, and libraries suitable for deep learning. Deep learning is one of the machine learning methods that uses multi-layered neural networks for research in deep learning using CUDA. It is expected to lead to solutions for various problems, such as improved pattern recognition accuracy. 【Hardware Features】 ■ Standard adoption of 1 NVIDIA TITAN V ■ Supports up to 4 high-performance GPUs in "Multi GPU" configuration ■ HEDT version overclocking support ■ Standard adoption of Intel Core i9 X series processors ■ Standard adoption of 64GB DDR4-2666 memory, expandable up to 128GB *For more details, please refer to the PDF document or feel free to contact us.

  • Other physicochemical equipment
  • Other embedded systems (software and hardware)

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AI Image Processing Deep Learning Workstation RTX4090

(Released in December 2023) Pre-configured products for "Improving the learning speed of deep learning" and "Proof of concept for AI inspection and AI image processing."

Main Use Cases ■ Deep Learning ■ Machine Learning ■ Natural Language Processing ■ Image Recognition and Image Processing ■ Demand Forecasting ■ Speech Recognition and Emotion Recognition ■ Edge AI and AI Inspection ■ Proof of Concept (PoC) ■ Generative AI ■ Defective Product Detection and Anomaly Detection 【Features】 ■ Equipped with a single RTX 4090 that offers excellent cost performance ■ Compatible with NGC (NVIDIA GPU Cloud) and includes setup services ■ Mid-tower size that can be installed beside a desk ■ Replacement of older generation products and improvement in learning speed

  • Industrial PCs

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