AI Accelerator

Coral M.2 Accelerator with Dual Edge TPU

Integrate two Edge TPUs into legacy and new systems using an M.2 E-key interface

  • 2x Google Edge TPU ML accelerator
    8 TOPS total peak performance (int8)
    2 TOPS per watt
  • Integrated power management
  • 2x PCIe Gen2 x1 interface (one per Edge TPU)
  • M.2-2230-D3-E module
  • Size: 22.0 x 30.0 x 2.8 mm
  • Operating temp: -40 to +85 °C
Technical Resources

The Coral M.2 Accelerator with Dual Edge TPU is an M.2 module that brings two Edge TPU coprocessors to existing systems and products with a compatible M.2 E-key slot.*

Performs high-speed ML inferencing

Each Edge TPU coprocessor is capable of performing 4 trillion operations per second (4 TOPS), using 2 watts of power. 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.

With the two Edge TPUs in this module, you can double the inferences per second (8 TOPS) in several ways, such as by running two models in parallel or pipelining one model across both Edge TPUs.

See more Edge TPU performance benchmarks.

Works with Debian Linux and Windows

Integrates with Debian-based Linux or Windows 10 systems with a compatible card module slot.

Supports TensorFlow Lite

No need to build models from the ground up. TensorFlow Lite models can be compiled to run on the Edge TPU.


* Although the M.2 Specification (section 5.1.2) declares E-key sockets provide two instances of PCIe x1, most manufacturers provide only one. To use both Edge TPUs, be sure your socket connects both instances to the host.


For more product and technical information, please visit Coral M.2 Accelerator with Dual Edge TPU website

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