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) - AI Accelerators 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) - AI Accelerators 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.

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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