The Coral M.2 Accelerator with Dual Edge TPU integrates two Edge TPUs into existing computer systems with the help of an M.2 E-key interface.

This Edge TPU module is particularly suitable for mobile and embedded systems that can benefit from accelerated machine learning.

Each Edge TPU coprocessor is capable of 4 billion arithmetic operations per second (4 TOPS) with 2-watt power consumption. For example, modern Mobile Vision models such as MobileNet v2 can run efficiently at close to 400 FPS.

With two Edge TPUs (and thus 8 TOPS) you can double the performance of the system - for example, by running two models in parallel, or by distributing the processing steps of a model between both Edge TPUs.

The M.2 Accelerator with Dual Edge TPU is supported under Debian Linux based systems as well as under Windows 10.

Specification

TPU

• 2 x Google Edge TPU ML accelerator coprocessor
• 8 TOPS (int8); 2 TOPS per watt

Interface & software support

• Interface: M.2 E-key (with two PCIe Gen2 x1 lanes)
• Supports Linux, and Windows 10 on the host system

Other data

• Dimensions: 22 mm x 30 mm x 2.8 mm (M.2-2230-D3-E)
• Weight: 2.5 g
• Operating temperature: -40 to + 85 ° C

Requirements for the host system

Linux:

• 64-bit Linux Debian 10.0 / Ubuntu 16.04 (or newer)
• CPU architecture: x86-64, or ARMv8 (64-bit)

or Windows:

• Windows 10 (64-bit),
• x86-64 CPU architecture