USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers
Product ID: 345373854
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⚡100+ fps MobileNet inferencing
🔌USB 3.1 Gen 1 SuperSpeed 5Gb/s
🧠Google Edge TPU ML accelerator
Frequently Bought Together
Description
🚀 Supercharge your Raspberry Pi with Google's AI edge power!
- TENSOR FLOW LITE READY - Effortlessly deploy custom and standard models like MobileNet & Inception.
- CLOUD COMPATIBLE AI EDGE - Integrates smoothly with Google Cloud for scalable, hybrid AI workflows.
- COMPACT POWER EFFICIENT - Small footprint with low power draw—AI on the go without compromise.
- BLAZING FAST ML INFERENCING - Run MobileNet v2 at 100+ fps for real-time AI insights.
- SEAMLESS USB 3 1 CONNECTIVITY - SuperSpeed 5Gb/s USB Type-C interface for plug-and-play power.
The Google Coral USB Edge TPU Accelerator is a compact, low-power ML coprocessor designed to boost AI inferencing on Linux-based embedded systems. Featuring a 32-bit ARM Cortex-M0+ MCU and a USB 3.1 Gen 1 interface, it delivers 100+ fps on MobileNet v2 models using TensorFlow Lite, supporting advanced architectures and 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 |
Have a Question? See What Others Asked
could this be used to dramatically speed up Hashcat?
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Common Questions
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