Google Coral System-On-Module (SoM) Price Worldwide

By: Google

Model: G650-04474-01

Sku: 94XF3ZTWZP

Availability: Out of stock New

Availability: Out of stock

  • Supported OS: Mendel Linux (derivative of Debian)
  • Supported Framework: TensorFlow Lite
  • Languages: Python and C++
  • Works with AutoML Vision Edge
  • CPU: NXP i.MX 8M SoC (quad Cortex-A53, Cortex-M4F)
  • GPU: Integrated GC7000 Lite Graphics
  • ML accelerator: Google Edge TPU coprocessor
  • RAM: 1 GB LPDDR4
  • Flash memory: 8 GB eMMC
  • Wireless: Wi-Fi 2x2 MIMO (802.11b/g/n/ac 2.4/5GHz) and Bluetooth 4.2
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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 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.

Supports AutoML Vision Edge

Easily build and deploy fast, high-accuracy custom image classification models to your device with AutoML Vision Edge.

In the Box

  • Google Coral System-On-Module (SoM)