Appearance inspection and image processing computer for deep learning.
DEEP-M076-137-NLXS
Deep learning is popular among those who are just starting out and those conducting proof of concept in internal projects. It is a product with the development environment already set up.
DEEP∞ (Deep Infinity) is a series of AI development dedicated computers that come with a configuration service for "NGC (NVIDIA GPU Cloud)." Since it has been verified to operate with NGC, you can build a computational environment simply by downloading deep learning frameworks, without worrying about environment settings or compatibility, significantly reducing the time required to implement it into your business. The DEEP-M076 is ideal for those who prioritize cost performance and are looking to "start AI development on a new project" or "learn deep learning from now on." Its mini-tower size has been well-received by those who want to set up an additional unit beside their desk. Main Use Cases: - Deep Learning - Machine Learning - Natural Language Processing - Image Recognition and Processing - Demand Forecasting - Voice Recognition and Emotion Recognition - Edge AI and AI Inspection - Proof of Concept (PoC) - AI Drug Discovery - Defective Product Detection, Anomaly Detection, and Visual Inspection Features: - Equipped with the cost-effective NVIDIA RTX A2000 12GB - Compatible with NGC (NVIDIA GPU Cloud) and includes configuration services - Suitable for those starting AI development
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basic information
DEEP∞ (Deep Infinity) supports the latest development environment "NGC (NVIDIA GPU Cloud)" that can be used locally without complex settings, and includes a configuration service that allows you to easily use NGC with simple steps. By simply registering according to the user manual, you can immediately start using the development environment. Product Specifications: OS: Ubuntu 22.04 LTS CPU: Core i7-13700 Memory: DDR4 DIMM 16GB Storage: 1TB NVMe-compatible M.2 SSD (OS) (Data) 1TB Serial-ATA SSD No optical drive GPU: NVIDIA RTX A2000 12GB (Upgradeable to RTX A5000) Case Size: Mini Tower with 750W power supply *Product specifications are subject to change. *Even if out of stock on the web, it may still be available for sale. For inquiries regarding technical specifications or payment consultations, please feel free to contact us through this inquiry form. A representative from the corporate sales department will respond directly, ensuring a smooth response.
Price information
Sales price: ¥299,750 (tax included) *Customizable via BTO Keyboard, mouse, and monitor are not included.
Price range
P3
Delivery Time
P4
※Please check the related link for the latest delivery status.
Applications/Examples of results
Deep Learning: Deep learning (for learning) machines For beginners at schools and research institutions As terminals for proof of concept in companies Since its release in 2018, the DEEP∞ series has been used by over 200 companies, universities, technical colleges, and research institutions nationwide. Product introduction https://ascii.jp/elem/000/001/791/1791764/ https://www.itmedia.co.jp/pcuser/articles/2009/02/news003.html Case studies https://news.mynavi.jp/kikaku/20191030-885363/
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Company information
Unitcom Inc. is a company that operates the computer shop "PC Koubou." We provide a variety of products and services through our stores, e-commerce, and corporate sales department. Within the consistent value chain of the group company listed on the Tokyo Stock Exchange Standard, MCJ, Unitcom's corporate sales team responds to the needs of customers such as businesses, schools, government agencies, and research institutions. Based on our extensive delivery track record, dedicated staff at 25 locations nationwide provide tailored products and solutions in a one-stop manner.
![[NUC Case Study] Oukaikai Daigo Hospital](https://image.mono.ipros.com/public/product/image/ae6/2000910215/IPROS73479632438420178149.png?w=280&h=280)
![[Development Achievements] Small-scale system utilizing Raspberry Pi](https://image.mono.ipros.com/public/product/image/1b3/2000447104/IPROS55901452832126640206.png?w=280&h=280)
