SOM System-On-Modules - SOM Google Edge TPU ML Compute Accelerator, Integrate The Edge TPU into Legacy and New Systems Using a Standard Half-Mini PCIe
*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
- 64-bit version of Debian 10 or Ubuntu 16.04 (or newer)
- x86-64 or ARMv8 system architecture
- 64-bit version of Windows 10
- x86-64 system architecture
Full Specifications
| UPC | 608614202775 |
|---|---|
| ASIN | B0844WRL58 |
| Brand | Google Coral |
| Model Name | Coral SOM |
| Manufacturer | Google Coral |
| Model Number | G650-04528-01 |
| Mfr Part Number | G650-04528-01 |
| Processor Brand | ARM |
| Processor Count | 1 |
| Customer Reviews | 4.64.6 out of 5 stars(22)4.6 out of 5 stars |
| Operating System | Debian-based Linux |
| Best Sellers Rank | #3,218 in Single Board Computers (Computers & Accessories) |
| Compatible Devices | Debian-based Linux systems |
| Wireless Compability | Bluetooth |
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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 Half-Mini PCIe 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.