We have compiled a list of manufacturers, distributors, product information, reference prices, and rankings for System on Module.
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System on Module Product List and Ranking from 14 Manufacturers, Suppliers and Companies

Last Updated: Aggregation Period:Sep 03, 2025~Sep 30, 2025
This ranking is based on the number of page views on our site.

System on Module Manufacturer, Suppliers and Company Rankings

Last Updated: Aggregation Period:Sep 03, 2025~Sep 30, 2025
This ranking is based on the number of page views on our site.

  1. 日本AMD(旧ザイリンクス) Tokyo//Electronic Components and Semiconductors
  2. サイレックス・テクノロジー Kyoto//Other manufacturing
  3. 近藤電子工業 Osaka//Electronic Components and Semiconductors
  4. null/null
  5. null/null

System on Module Product ranking

Last Updated: Aggregation Period:Sep 03, 2025~Sep 30, 2025
This ranking is based on the number of page views on our site.

  1. [Data] SOM <Development Kit and Options>
  2. System on Module 'Kria K26 SOM' 日本AMD(旧ザイリンクス)
  3. Intelligent Edge AI Module EP-200Q サイレックス・テクノロジー
  4. System on Module "KEIm-CVSoC" 近藤電子工業
  5. System on Module VEX-SOM ICOP I.T.G.

System on Module Product List

16~22 item / All 22 items

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Intelligent Edge AI Module EP-200Q

System on Module for Industrial Edge AI Applications

The EP-200Q, equipped with the Qualcomm Dragonwing QCS6490, is a System-on-Module (SoM) designed to facilitate faster and easier development of edge AI devices using the Dragonwing QCS6490. It has been evaluated based on Silex's quality standards, allowing for easy development when using the development kit.

  • Other electronic parts

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System on Module "KEIm-CVSoC"

Ultra-compact platform, making product miniaturization easy! SoC peripheral circuits are already designed/evaluated.

The "KEIm-CVSoC" is a system-on-module equipped with Intel Cyclone V SoC FPGA, classified as one of the world's smallest. It features an ARM Cortex-A9 MPCore processor, making it easy to miniaturize products on a super-compact platform. It is well-suited for edge AI applications. Additionally, the SoC peripheral circuits have already been designed and evaluated, allowing for support from prototyping to small and medium-scale mass production. Please feel free to contact us if you have any inquiries. 【Features】 ■ Equipped with ARM Cortex-A9 MPCore processor ■ Super-compact platform, easy product miniaturization ■ SoC peripheral circuits already designed and evaluated ■ Development environment that facilitates product development for edge AI ■ Support available from prototyping to small and medium-scale mass production *For more details, please download the PDF or feel free to contact us.

  • Embedded Board Computers

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SoM/CPUboard『iW-RainboW-G34M/G37M-Q7』

Introducing the "i.MX 8M Mini or i.MX 8M Nano uQseven SOM" that we handle!

Fujisoft is a domestic retailer of the 'iW-RainboW-G34M/G37M-Q7'. It is equipped with an i.MX 8M Mini or i.MX 8M Nano Q/QL/D/DL/S/SL CPU. This product adopts a 64-bit ARMv8 Architecture. With Fujisoft's extensive experience in embedded development, we provide a reliable support system that ensures peace of mind both before and after purchase. 【Overview and Features】 ■ i.MX 8M Mini or i.MX 8M Nano Q/QL/D/DL/S/SL CPU ■ 64-bit ARMv8 Architecture ■ 10+ years of Product Longevity Program ■ IEEE 802.11a/b/g/n/ac Wi-Fi & Bluetooth 5.0 ■ 1000/100/10 Mbps Ethernet ■ Modular & Compact µQseven form factor 70mm X 40mm *For more details, please refer to the related links or feel free to contact us.

  • Industrial PCs
  • Embedded Board Computers
  • Embedded OS

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Small high-end SoM Zynq board "ADZBT1AI"

Compact Zynq board. Suitable for high-spec AI, IoT, and edge computing.

The Zynq (AMD) features a state-of-the-art large-scale FPGA in a 60mm size SOM and a carrier board. With the compact 60x60mm SoM, edge AI and IoT can be easily realized. It implements the Zynq Ultrascale+ MPSoC (ARM Cortex-A53 Quad Core) and LPDDR4. By combining it with the carrier board, system construction can be easily achieved. It is suitable for image processing, AI edge processing, and IoT, with video output via Display Port, camera input via USB 3.0, and data transfer via Wi-Fi, as well as transferring edge processing results via Gigabit Ethernet. It is active in a wide range of fields, including communications, industry, and edge AI processing. The SOM can also be implemented on the user's motherboard and is available for mass production.

  • Embedded Board Computers

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