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Application of embedded industrial computers in AI computing power

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Application of embedded industrial computers in AI computing power

2024-07-19 09:39:59
Table of Contents

1. Industry Introduction

AI computing power refers to the computing resources required in the field of artificial intelligence, including hardware devices such as processors, graphics cards, servers, and corresponding software algorithms and system support. As one of the core technologies of artificial intelligence, AI computing power is an important foundation for supporting the application and development of artificial intelligence.

During the training process of artificial intelligence models, a large amount of computing resources are required for parameter adjustment and optimization to improve the accuracy and generalization ability of the model. Therefore, the size and speed of AI computing power are very important for the performance of artificial intelligence applications.
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2. Introduction to industry application scenarios

AI computing power mainly involves the following aspects:

(1) Financial industry: AI computing power is widely used in the financial industry, such as risk management, investment decision-making, etc. AI computing power can help financial institutions analyze massive data and improve the efficiency and accuracy of data processing.

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(2) Medical industry: The application of AI computing power in the medical industry mainly includes imaging diagnosis, gene sequencing, drug development, etc. AI computing power can help doctors diagnose diseases more quickly and accurately, and improve the efficiency and treatment effect of medical institutions.

(3) Manufacturing industry: The application of AI computing power in the manufacturing industry mainly includes quality control, predictive maintenance, intelligent production, etc. AI computing power can help manufacturing companies realize intelligent production and improve production efficiency and product quality.

3.SINSMART product recommendations

(I) Equipment type: embedded industrial computer
(II) Equipment model: SIN-3180-Q670E

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(III) Reasons for recommendation:

(1) High performance: This industrial computer uses the 12th generation Core processor, Intel's new generation 10nm process, and the new "Golden Cove" and "Gracemont" architectures, with higher performance and lower energy consumption.

(2) Multiple expansion interfaces: It supports multiple expansion interfaces, including PCIe, USB, COM, LAN and other interfaces, which can meet the connection requirements of various industrial control equipment.

(3) High reliability: It uses industrial control-level electronic components and heat dissipation design, can operate stably in harsh environments, and supports remote power on and off and automatic wake-up functions, which improves the reliability and stability of the system.

(4) High transmission speed: The newly upgraded PCle 4.0 technology is twice as fast as PCle 3.0. It supports M.2 NVMe Gen4x4, with a read and write rate of up to 7000 MB/s, and a new experience of data access.

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4. Industry Outlook

AI computing power is one of the core technologies of artificial intelligence and one of the infrastructures for artificial intelligence applications. With the continuous development of artificial intelligence technology and the deepening of its application, the AI computing power industry has broad prospects and market potential.

In general, the AI computing power industry has broad prospects and market potential, and will play an important role in various fields, but will also face more challenges and competition. With the continuous development and changes in technology and the market, the AI computing power industry will continue to usher in new opportunities and challenges.

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