Google Google Coral M.2 Edge TPU Accelerator A+E Key
The Google Google Coral M.2 Accelerator with A+E key integrates the powerful Edge TPU ML accelerator into existing systems, delivering 4 TOPS peak performance at 2 TOPS per watt via a PCIe Gen2 x1 interface for efficient on-device AI inference.
Features
- Google Edge TPU ML accelerator for high-efficiency AI inference.
- Delivers 4 TOPS total peak performance (int8) with 2 TOPS per watt.
- Features integrated power management for optimized energy consumption.
- Utilizes a PCIe Gen2 x1 interface for high-speed data transfer.
- M.2-2230-A-E-S3 form factor with A+E key for versatile integration.
Out of stock
The Google Google Coral M.2 Accelerator with A+E key brings the advanced Edge TPU ML accelerator to a wide range of existing embedded systems and products. Designed by Google, the Edge TPU is a specialized ASIC engineered to accelerate TensorFlow Lite models with exceptional power efficiency. It is capable of performing 4 trillion operations per second (4 TOPS) using just 2 watts of power, achieving an impressive 2 TOPS per watt efficiency.
This on-device machine learning processing capability significantly reduces inference latency, enhances data privacy by keeping data local, and eliminates the dependency on a constant internet connection. The M.2 form factor (specifically M.2-2230-A-E-S3) allows for seamless integration of local ML acceleration into various computing platforms, including embedded devices, mini-PCs, and industrial gateways equipped with a compatible M.2 card slot, enabling robust edge AI applications.
Additional Information
| Weight | 0.003 kg |
|---|---|
| Dimensions | 2.2 × 3 cm |
