AI Accelerator

Coral System-on-Module (SoM)

A fully-integrated system for accelerated ML applications in a 40mm x 48mm pluggable module.

  • NXP iMX 8M SoC
    Quad-core ARM Cortex-A53, plus Cortex-M4F
    2D/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)
Overview
Technical Resources

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

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