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

Google Coral

Google Coral SOM System-On-Modules

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

Status: SOM System-On-Modules - SOM Google Edge TPU ML…: Unavailable on Amazon as of 2026-10-06 22:16 UTC. SpecPicks has no in-stock listing with matching specs on file; the search below lists current offers. eBay sellers may still list this model new or used.

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Bottom line: The Google Coral SOM System-On-Modules is a specs-and-price decision rather than a crowd-consensus one in the ai accelerators category. Check the specification table below against one or two close alternatives — on price and spec fit, not on star ratings.

Unavailable on Amazon as of 2026-10-06 22:16 UTC

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Currently unavailable on Amazon. Not the same product — 2 in-stock alternatives:

Similar: Dual Edge TPU PCIe x1 Low Profile Adapter… — $60.00 on Amazon as of 2026-10-06 10:13 UTC (price may vary).

View Current Price — $60.00

Similar: Coral M.2 Accelerator A+E Key — $79.99 on Amazon as of 2026-10-06 22:15 UTC (price may vary).

View Current Price — $79.99

Original listing (currently unavailable) → Compare to similar ai accelerators

By Mike Perry, Founder & Editor-in-Chief · Listing data updated 2026-10-06

Mike Perry — Hardware researcher since 2014, focused on GPU performance across gaming, rendering, and local-LLM inference. Synthesises community benchmarks, manufacturer specs, and public forum data into actionable buying guides. About the author →

Pros & Cons

Pros

✓ 64-bit version of Debian 10 or Ubuntu 16.04 (or newer)
✓ Backed by Google Coral's warranty and support channels

Cons

✗ Confirm socket / form-factor / power-rating compatibility against your build before ordering
✗ Price, stock, shipping and returns are set by the retailer and may have changed since this page was last updated

Manufacturer description

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 scored Google Coral SOM System-On-Modules using a rating × review-volume × price-fit model applied to published specs and reviews across the ai accelerators category. Google Coral's ai accelerators lineup sits within the broader category mid-tier; price and specs are the deciding factors over brand loyalty here. Judge it on the specification table and the price rather than on sentiment: check the figures that decide your use case, then put it side-by-side with two or three close alternatives in the Compare tool before clicking through.

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 retailer's listing before purchase. Prices and stock are set by the retailer and may have moved since this page was last updated.

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
Item Dimensions L x W x H	1.06"W
Full listing title	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

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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 listed on Amazon. Price, availability, shipping and returns are set by Amazon and its sellers — check the listing for current terms. SpecPicks earns a small commission on qualifying purchases — thank you for supporting independent review work.

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