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Google Coral USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers
Description
🚀 Turbocharge your AI edge with Google Coral USB Edge TPU!
- NEXT GEN EDGE TPU POWER - Harness Google's dedicated ML coprocessor for lightning-fast, on-device AI acceleration.
- CLOUD CONNECTED INTELLIGENCE - Easily sync with Google Cloud for scalable, hybrid AI workflows that keep you ahead.
- SEAMLESS LINUX COMPATIBILITY - Plug & play with Debian Linux on Raspberry Pi and other SBCs for effortless integration.
- TENSOR FLOW READY ARCHITECTURE - Run MobileNet, Inception, and custom models with full TensorFlow support out of the box.
- BLAZING FAST USB 3 1 CONNECTIVITY - Experience ultra-responsive ML inferencing with 5Gb/s SuperSpeed USB transfer.
The Google Coral USB Edge TPU is a compact, 90g ML accelerator featuring a 32 MHz ARM Cortex-M0+ MCU and a USB 3.1 Gen 1 interface delivering 5Gb/s transfer speeds. Designed for embedded Linux systems like Raspberry Pi, it supports TensorFlow models including MobileNet and Inception, enabling fast, on-device AI inferencing with seamless Google Cloud integration.
Specifications
| Brand | Google Coral |
| Manufacturer | Google Coral |
| Model | Coral-USB-Accelerator |
| Product Dimensions | 7.62 x 5.08 x 2.54 cm; 90 g |
| Item model number | Coral-USB-Accelerator |
| Memory Storage Capacity | 16 KB |
| Operating System | Linux |
| Processor Brand | ARM |
| Processor Speed | 32 MHz |
| Processor Count | 1 |
| Hardware Interface | USB |
| Batteries Included | No |
| Batteries Required | No |
| Connector Type | USB |
| Does it contain liquid? | No |
| Manufacturer | Google Coral |
| Item Weight | 90 g |
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Reviews
A**H
AI at home
Combined with a Raspberry Pi 4 and a custom 3D printed case - as described at the Google MakerAI website. Was able to do the projects as specified. Requires a temperature check every now and then. Too good to be ignored by the serious explorer!
P**Y
Works well with Frigate Home Assistant
Pricey but works well with homeassistant. Using six cameras with frigate in homeassistant installed on a celeron NUC. Good stuff .
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