Coral System-On-Module (SoM)

SKU: DEV-15885

1 in stock

Coral System-On-Module (SoM)

529.30 AED

1 in stock

Estimated delivery date Tuesday, 8th February

**Provides a complete system**

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.

**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. 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.

**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.

**Key benefits of the SoM:**

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


* **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 2×2 MIMO (802.11b/g/n/ac 2.4/5GHz) and Bluetooth 4.2
* **Dimensions:** 48mm x 40mm x 5mm



[Getting Started Guide](

SKU: DEV-15885 Category: Tags: ,
Weight 0.032 kg

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