What is Qnap TPU AI photo indexing recognition booster and do I need one?
What is Image AI TPU?
Who needs this image recognition and indexing booster?
How do I install it on my NAS?

Speed up your NAS - move indexing away from CPU
Speed up your smart surveillance


Part numbers:
Coral-Qnap
g650-04686-01 - M.2 model

g950-01456-01 - USB model
g950-06809-01 - USB model

TensorFlow Specs
- Edge TPU ML accelerator: ASIC designed by Google that provides high performance ML inferencing for TensorFlow Lite models

- Arm 32-bit Cortex-M0+ Microprocessor (MCU): Up to 32 MHz max, 16 KB Flash memory with ECC, 2 KB RAM

- Connections: USB 3.1 (gen 1) port and cable (SuperSpeed, 5Gb/s transfer speed), Included cable is USB Type-C to Type-A

The Coral USB Accelerator adds an Edge TPU coprocessor to your system. It includes a USB socket you can connect to a
host computer to perform accelerated ML inferencing.
The on-board Edge TPU is a small ASIC designed by Google that provides high performance ML inferencing with a low
power cost. 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.

свернуть