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5e328eadbd4cbd580f5068a0 Coral System-on-Module (SoM) https://cdn1.storehippo.com/s/59c9e4669bd3e7c70c5f5e6c/ms.products/5e328eadbd4cbd580f5068a0/images/5e328eadbd4cbd580f5068a1/5e328e75b5572e57ad89484d/webp/5e328e75b5572e57ad89484d.jpg

Description

The Coral System-on-Module (SoM) is a fully-integrated system that helps you build embedded systems that demand fast machine learning (ML) inferencing. It contains NXP's iMX8M system-on-chip (SoC), eMMC memory, LPDDR4 RAM, Wi-Fi, and Bluetooth, but its unique power comes from Google's Edge TPU coprocessor.

The Edge TPU is a small ASIC designed by Google that provides high-performance ML inferencing with a low power cost. 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. This on-device processing reduces latency, increases data privacy, and removes the need for a high-bandwidth connection used to perform ML inferencing in the cloud.

Key benefits of the SoM:

  • High-speed and low-power ML inferencing (4 TOPS @2 W)
  • A complete Linux system (running Mendel, a Debian derivative)
  • Small footprint (40 x 48 mm)

The SoM is also included in the Coral Dev Board, which is a single-board computer that enables fast prototyping and evaluation of the standalone SoM.

Features

  • 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.
  • 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. Also available with a baseboard as part of the Coral Dev Board.

Specifications

  • NXP i.MX 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
  • 8GB eMMC
  • 1GB 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)
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Coral System-on-Module (SoM)

Description of product

Description

The Coral System-on-Module (SoM) is a fully-integrated system that helps you build embedded systems that demand fast machine learning (ML) inferencing. It contains NXP's iMX8M system-on-chip (SoC), eMMC memory, LPDDR4 RAM, Wi-Fi, and Bluetooth, but its unique power comes from Google's Edge TPU coprocessor.

The Edge TPU is a small ASIC designed by Google that provides high-performance ML inferencing with a low power cost. 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. This on-device processing reduces latency, increases data privacy, and removes the need for a high-bandwidth connection used to perform ML inferencing in the cloud.

Key benefits of the SoM:

  • High-speed and low-power ML inferencing (4 TOPS @2 W)
  • A complete Linux system (running Mendel, a Debian derivative)
  • Small footprint (40 x 48 mm)

The SoM is also included in the Coral Dev Board, which is a single-board computer that enables fast prototyping and evaluation of the standalone SoM.

Features

  • 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.
  • 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. Also available with a baseboard as part of the Coral Dev Board.

Specifications

  • NXP i.MX 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
  • 8GB eMMC
  • 1GB 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)