Google Coral Accelerator Module Price Worldwide

By: Google

Model: Coral Accelerator Modul

Sku: SK5RS9S8O8

Availability: Out of stock New

Availability: Out of stock

  • Surface-mounted module
  • Supported serial interface: PCIe Gen 2 and USB 2.0
  • Supported Framework: TensorFlow Lite
  • Chipset: Google Edge TPU and PMIC
  • Mounting type: SMT, 120-pin LGA
  • Serial interface: PCIe Gen 2; or USB 2.0
  • Control interface: I2C (optional)
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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.

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 Accelerator Module