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Coral Dev Board Mini
Google

Coral Dev Board Mini

$228.10

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

Bottom line: The Coral Dev Board Mini is a niche pick — read recent reviews before buying in the ai accelerators category, priced around $228.10. Read recent reviews carefully before committing.

The Coral Dev Board Mini is a single-board computer that enables you to quickly prototype and deploy an embedded system with on-device ML inferencing. This board can also serve as an evaluation device for the Coral Accelerator Module, which allows you to integrate the Edge TPU into your custom PCB hardware as a surface-mounted module. The Edge TPU is a small ASIC designed by Google that accelerates TensorFlow Lite models in a power efficient manner: each one is capable of performing 4 trillion operations per second (4 TOPS), using 2 watts of power—that's 2 TOPS per watt. For example, one…

SpecPicks Verdict

SpecPicks classifies Coral Dev Board Mini 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'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

  • ✓ Backed by Google'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

  • The Coral Dev Board Mini is a single-board computer that enables you to quickly prototype and deploy an embedded system with on-device ML inferencing.
  • The board includes the Edge TPU coprocessor, which is a small ASIC designed by Google that accelerates TensorFlow Lite models in a power efficient manner. It's capable of performing 4 trillion operations (tera-operations) per second (tops), using 0.5 watts for each tops (2 tops per watt).
  • Provides a complete system a single-board computer with SoC + ML + wireless connectivity, all on the board running a derivative of Debian Linux we call Mendel, so you can run your favorite Linux tools with this board.
  • Supports TensorFlow Lite no need to build models from the ground up. Tensorflow Lite models can be compiled to run on the Edge TPU.
  • Supports AutoML Vision Edge easily build and deploy fast, high-accuracy custom image classification models to your device..MediaTek 8167s SoC (Quad-core Arm Cortex-A35).2 GB LPDDR3 and 8 GB eMMC memory

Full Specifications

UPC193575011295
ASINB08QLXKJB7
BrandGoogle
Unit Count1.0 Count
ManufacturerGoogle LLC
Model NumberG650-03324-01
Built-In MediaGoogle Coral Dev Board Mini, Accelerator Module (Edge TPU)
Mfr Part NumberG650-03324-01
Processor BrandGoogle
Processor Count4
Total Usb Ports1
Compatible DevicesCertain camera and display devices
Included ComponentsGoogle Coral Dev Board Mini, Accelerator Module (Edge TPU)
Wireless Compability802.11a, 802.11ac, 802.11b, 802.11g, 802.11n

Ready to buy?

Coral Dev Board Mini 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.

Check price on Amazon →

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

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