Google Coral Edge TPU M.2 B+M ML Accelerator Module
The Google Coral Edge TPU M.2 B+M Module from Google is a high-performance machine learning accelerator designed for edge AI inference, offering 4 TOPS total peak performance at 2 TOPS per watt via a PCIe Gen2 x1 interface.
Features
- Google Edge TPU ML accelerator for high-efficiency AI inference.
- Delivers 4 TOPS (int8) peak performance with 2 TOPS per watt efficiency.
- Utilizes a PCIe Gen2 x1 interface for rapid data transfer.
- Compact M.2-2280-B-M-S3 (B+M key) form factor for versatile integration.
- Wide operating temperature range from -20 to +85 °C.
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The Google Coral Edge TPU M.2 B+M Module is a dedicated hardware accelerator developed by Google, engineered to significantly boost AI and machine learning capabilities on edge devices. Featuring Google’s specialized Tensor Processing Unit (TPU), it excels at handling deep learning inference tasks with remarkable efficiency and speed, making it ideal for a wide array of IoT and embedded computing applications.
This module’s M.2 B+M form factor ensures broad compatibility with various expansion card slots found in embedded platforms, mini-PCs, and industrial gateways. Its design allows developers to easily integrate powerful local ML acceleration into their products, enabling advanced AI functionalities without relying heavily on cloud processing, thereby reducing latency and improving data privacy.
Additional Information
| Weight | 0.006 kg |
|---|---|
| Dimensions | 2.2 × 3 cm |
