Google Coral
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 2026-05-27. Price and availability subject to change.
Bottom line: The 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 a category leader on buyer feedback in the ai accelerators category, priced around $58.89, rated 4.6★ across 22 verified Amazon reviews. A confident buy for most shoppers in this category.
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…
SpecPicks Verdict
SpecPicks classifies SOM System-On-Modules - SOM Google Edge TPU ML Compute Accelerator… as a category leader on buyer feedback in the ai accelerators category, based on 22 verified Amazon reviews and our ranking model that weights rating × review-volume × price-fit. Google Coral's positioning sits comfortably above the category median. Use the Compare tool to put it side-by-side with two or three close alternatives before clicking through to Amazon.
Common buyer scenarios for ai accelerators of this kind: matching it to an existing build, replacing a failing part, or upgrading from a previous-generation equivalent. Check the spec table below against your current setup — particularly socket / form-factor / power-rating fields — and confirm compatibility on the Amazon listing before purchase. Prices, stock, and Prime eligibility update directly from Amazon's catalog and may have moved since this page was last verified.
Pros & Cons
Pros
- ✓ Highly rated — 4.6★ average across customer reviews
- ✓ 64-bit version of Debian 10 or Ubuntu 16.04 (or newer)
- ✓ Backed by Google Coral's warranty and support channels
- ✓ Ships via Amazon with Prime eligibility and the standard returns policy
Cons
- ✗ Limited review volume so far — fewer data points on long-term reliability
- ✗ Confirm socket / form-factor / power-rating compatibility against your build before ordering
- ✗ Price, stock, and Prime eligibility update from Amazon and may have changed since this page was last verified
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 |
Ready to buy?
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 2026-05-27. Price and availability subject to change.
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