SOM System-On-Modules - SOM Google Edge TPU ML Compute Accelerator, Integrate The Edge TPU into Legacy and New Systems Using a Standard M.2-2280-B-M-S3 (B/M Key)
*Price sourced from Amazon.com. Last updated 2026-04-23. Price and availability subject to change.
Performs high-speed ML inferencing The on-board Edge TPU coprocessor is capable of performing 4 trillion operations (tera-operations) per second (TOPS), using 0.5 watts for each TOPS (2 TOPS per watt). For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at 400 FPS, in a power efficient manner. See more performance benchmarks. Works with Debian Linux Integrates with any Debian-based Linux system with a compatible card module slot. Supports TensorFlow Lite No need to build models from the ground up. TensorFlow Lite models can be compiled to run on the Edge TPU…
Key Features
- Connector M.2-2280-B-M-S3 (B/M Key)
- Google Edge TPU coprocessor
- 22.00 x 80.00 x 2.35 mm
- Supports TensorFlow Lite
- Works with Debian Linux
Full Specifications
| ASIN | B08BR3C21M |
|---|---|
| Brand | Google Coral |
| Item Weight | 0.317 ounces |
| Manufacturer | Google Coral |
| Customer Reviews | 4.04.0 out of 5 stars(1)4.0 out of 5 stars |
| Best Sellers Rank | #6,779 in Single Board Computers (Computers & Accessories) |
| Product Dimensions | 2 x 2 x 1 inches |
| Date First Available | January 2, 2020 |
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SOM System-On-Modules - SOM Google Edge TPU ML Compute Accelerator, Integrate The Edge TPU into Legacy and New Systems Using a Standard M.2-2280-B-M-S3 (B/M Key) is available on Amazon with Prime shipping and the full Amazon returns policy. SpecPicks earns a small commission on qualifying purchases — thank you for supporting independent review work.
*Price sourced from Amazon.com. Last updated 2026-04-23. Price and availability subject to change.