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

Name: 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
Brand: Google Coral
SKU: B0844WRL58
Price: 58.89 USD
Availability: InStock

By SpecPicks Editorial · Verified 2026-07-06

$58.89

Buy on Amazon — $58.89 Compare to similar ai accelerators

*Price sourced from Amazon.com. Last updated 2026-07-06. 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 niche pick — read recent reviews before buying in the ai accelerators category, priced around $58.89. Read recent reviews carefully before committing.

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 niche pick — read recent reviews before buying in the ai accelerators category, based on our editorial and benchmark analysis and our ranking model that weights rating × review-volume × price-fit. Google Coral's positioning sits within the broader category mid-tier. 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

✓ 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

✗ 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
Compatible Devices	Debian-based Linux systems
Wireless Compability	Bluetooth
RAM Memory Technology	DDR4
Connectivity Technology	Half-size Mini PCIe
Memory Storage Capacity	8 GB

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.

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*Price sourced from Amazon.com. Last updated 2026-07-06. Price and availability subject to change.