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 candoublethe 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
