Coral USB Accelerator

Coral USB Accelerator adds an Edge TPU coprocessor to your system, enabling high-speed machine learning inferencing on a wide range of systems, simply by connecting it to a USB port



  • Google Edge TPU ML accelerator coprocessor
  • USB 3.1 Gen 1 Type-C socket
  • Supports Debian Linux on host CPU



ML accelerator Google Edge TPU coprocessor:
4 TOPS (int8); 2 TOPS per watt
Connector USB 3.0 Type-C* (data/power)
Dimensions 65 mm x 30 mm
Certifications European Union (CE), Ghana (NCA), Hong Kong (CE), India (WPC), Indonesia (SDPPI), Israel (MOC), Japan (VCCI), Kenya (CAK), Korea (KC), Malaysia (SIRIM), Oman (TRA), Philippines (NTC), Singapore (IMDA), Thailand (NBTC), United States (FCC), Vietnam (MIC/VNTA)

* Compatible with USB 2.0 but inferencing speed is slower.


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.

Supports all major platforms

  • Connects via USB to any system running Debian Linux (including Raspberry Pi), macOS, or Windows 10.

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.