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Coral System-on-Module (SoM)

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Product number: Coral System-on-Module (SoM)

Product information "Coral System-on-Module (SoM)"

ASUS IoT Coral System-on-Module (SoM) - Edge AI Computer AI Accelerator The Coral System-on-Module (SoM) is a fully-integrated system that helps you build embedded devices that demand fast machine learning (ML) inferencing. It contains NXP's iMX 8M system-on-chip (SoC), eMMC memory, LPDDR4 RAM, Wi-Fi, and Bluetooth, but its unique power comes from Google's Edge TPU coprocessor for high-speed machine learning inferencing.

ASUS IoT Coral System-on-Module (SoM) - Edge AI Computer AI Accelerator
The Coral System-on-Module (SoM) is a fully-integrated system that helps you build embedded devices that demand fast machine learning (ML) inferencing. It contains NXP's iMX 8M system-on-chip (SoC), eMMC memory, LPDDR4 RAM, Wi-Fi, and Bluetooth, but its unique power comes from Google's Edge TPU coprocessor for high-speed machine learning inferencing.

Beispiel Menü

Overview

Key Features
NXP iMX 8M SoCQuad-core ARM Cortex-A53, plus Cortex-M4F2D/3D Vivante GC7000 Lite GPU and VPU Google Edge TPU ML accelerator Cryptographic coprocessor Wi-Fi 2x2 MIMO (802.11b/g/n/ac 2.4/5 GHz) Bluetooth 4.2 8 or 16 GB eMMC 1, 2, or 4 GB LPDDR4 USB 3.0 Gigabit Ethernet HDMI and MIPI-DSI MIPI-CSI-2 Up to 95x GPIO (including SPI, I2C, PWM, UART, SAI, and SDIO)

Introduction

The Coral System-on-Module (SoM) is a fully-integrated system that helps you build embedded devices that demand fast machine learning (ML) inferencing. Provides a complete system The Coral SoM is a fully-integrated Linux system that includes NXP's iMX8M system-on-chip (SoC), eMMC memory, LPDDR4 RAM, Wi-Fi, and Bluetooth, and the Edge TPU coprocessor for ML acceleration. It runs a derivative of Debian Linux we call Mendel. Performs high-speed ML inferencing The on-board Edge TPU coprocessor is capable of performing 4 trillion operations (tera-operations) per second (TOPS), using 0.5 watts for each TOPS (2 TOPS per watt). For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at almost 400 FPS, in a power efficient manner. See more performance benchmarks. Integrates with your custom hardware The SoM connects to your own baseboard hardware with three 100-pin connectors. Supports TensorFlow Lite No need to build models from the ground up. TensorFlow Lite models can be compiled to run on the Edge TPU. Also available with a baseboard as part of the Coral Dev Board. For more product and technical information, please visit Coral System-on-Module (SoM) website

All data is for information purposes only. The specification is subject to change without notice in advance. Any configuration other than original product specification is not guaranteed. Although all the information contained within this website is carefully checked, no guarantee of correctness is implied or expressed.
Please always double-check the latest version of the product specification of the product manufacturer. Manufacturer Product Website: Coral System-on-Module (SoM)
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OEM System Integration Support

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MCTX Mobile & Embedded Computers GmbH was founded in 2010 and focuses on the development and marketing of compact, high-performance, energy-efficient, and scalable computer systems and system components for mobile and stationary professional use in both indoor and outdoor environments.

We consider ourselves a reliable and experienced partner for companies and organizations that integrate these technologies into their processes or products. Our goal is to offer our customers SOLUTIONS that fully meet the requirements of their tasks.

Our company headquarters is located in southwestern Germany, in Gottenheim near Freiburg im Breisgau, close to the borders of France and Switzerland.

Service Portfolio

Depending on the project requirements, we offer our customers a wide range of products and outsourcing services: technology consulting for selecting the processor platform, delivery of key components, and the commissioned delivery of fully integrated, custom systems.

Over the years, our team has gained valuable experience in the integration of energy-efficient computing technologies. We provide this engineering know-how to our customers in order to optimize product and development costs as well as time-to-market.

Applications

Our boards and systems are used in a variety of applications in the field, in laboratories, in factory automation, and in OEM products, such as in the validation of semiconductor chips, in Lidar systems for 3D object measurement, in autonomous vehicles, various measurement and diagnostic systems, or in mobile data collection in the agricultural and forestry sectors.

Technologies

Our systems are based on state-of-the-art technologies used in modern servers, notebooks, tablet PCs, and navigation systems. The use of modular and industrial-grade system concepts enables long-lasting and scalable systems.