Google

Google Coral Dev Board

Expert rating7.5 / 10

Processor:: NXP i.MX 8M, Quad-core Cortex-A53 + Cortex-M4F
AI Accelerator:: Google Edge TPU coprocessor
Memory:: 1GB LPDDR4
Price:: $99.99 (launch)

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Manufacturer: Google Last updated: September 11, 2026

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Google Coral Dev Board Review

The Coral Dev Board pairs an NXP i.MX 8M application processor with Google's dedicated Edge TPU coprocessor, built specifically for running on-device machine learning inference without cloud connectivity.

Where most "AI-capable" SBCs lean on a shared GPU/NPU block, the Coral Dev Board's Edge TPU is a purpose-built ASIC for TensorFlow Lite inference, trading general flexibility for very efficient, very fast inference on supported model formats.

A Dedicated ML Coprocessor, Not Just a Fast CPU

A Long-Running Reference Design

Despite periodic supply gaps over its lifetime, the Coral Dev Board has remained a standard reference platform in computer-vision and TinyML educational material and tutorials, giving it an unusually deep base of existing project documentation.

Comparison to Alternatives

Against the NVIDIA Jetson boards already on this site, the Coral Dev Board's Edge TPU is narrower in scope (TensorFlow Lite-focused) but often more power-efficient for supported models than a general-purpose Jetson GPU. Against the BeagleBone AI-64 already on this site, the Coral board leans harder into a single AI accelerator rather than BeagleBone's broader industrial I/O focus.

Our verdict

Reviewed by Burooj Alam. Rated by us, not by users.

Expert rating7.5 / 10

A purpose-built Edge TPU platform that's extremely efficient inside TensorFlow Lite's boundaries and limited outside them.

Best for

Computer-vision and TinyML projects built specifically around TensorFlow Lite inference.

Not for

General-purpose computing or workloads outside the Edge TPU's supported model formats.

Specifications

What these specs mean

Identity

Brand	Google
Model Number	Coral Dev Board

Processor

SoC Model	NXP i.MX 8M

Graphics and AI

NPU Present	Google Edge TPU coprocessor

Memory	1GB LPDDR4
Price	99.99 USD

FAQs

What are the key specifications of the Google Coral Dev Board (Single-Board Computer/NXP i.MX 8M/Quad Cortex-A53/Edge TPU AI Accelerator/1GB LPDDR4)?

Key specs for the Google Coral Dev Board: SoC NXP i.MX 8M, Processor Quad-core Cortex-A53 + Cortex-M4F, AI Accelerator Google Edge TPU coprocessor, Memory 1GB LPDDR4.

Will the Google Coral Dev Board (Single-Board Computer/NXP i.MX 8M/Quad Cortex-A53/Edge TPU AI Accelerator/1GB LPDDR4) work with my current setup?

The Google Coral Dev Board (Single-Board Computer/NXP i.MX 8M/Quad Cortex-A53/Edge TPU AI Accelerator/1GB LPDDR4) lists SoC is NXP i.MX 8M. Check that against the hardware you already own before buying, since this is the field that most often decides whether a part fits.

Who is the Google Coral Dev Board (Single-Board Computer/NXP i.MX 8M/Quad Cortex-A53/Edge TPU AI Accelerator/1GB LPDDR4) best suited to?

Best suited to: Computer-vision and TinyML projects built specifically around TensorFlow Lite inference.

What are the drawbacks of the Google Coral Dev Board (Single-Board Computer/NXP i.MX 8M/Quad Cortex-A53/Edge TPU AI Accelerator/1GB LPDDR4)?

Not the best fit for: General-purpose computing or workloads outside the Edge TPU's supported model formats.