Google Coral

Google Coral USB Edge TPU ML Accelerator coprocessor

Name: Google Coral USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers
Brand: Google Coral
SKU: B07R53D12W

Status: Google Coral USB Edge TPU ML Accelerator…: Unavailable on Amazon as of 2026-10-06 22:13 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 USB Edge TPU ML Accelerator coprocessor: Edge TPU coprocessor takes ML inference work off the host CPU; main trade-off: host must run Debian Linux; the listing names no other operating systems.

Unavailable on Amazon as of 2026-10-06 22:13 UTC

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Currently unavailable on Amazon. Not the same product — 3 in-stock alternatives:

Similar: G950-01456-01/ G950-06809-01Coral USB Edge TPU… — $116.95 on Amazon as of 2026-10-06 10:14 UTC (price may vary).

View Current Price — $116.95

Similar: ZDE ZP590A PCIe to M.2 E Key HAT PCIE to WiFi7 6… — $22.99 on Amazon as of 2026-10-06 10:13 UTC (price may vary).

View Current Price — $22.99

Similar: Orange Pi 4A 2GB/4GB Allwinner T527 with RISC-V… — $76.99 on Amazon as of 2026-10-06 10:13 UTC (price may vary).

View Current Price — $76.99

Original listing (currently unavailable) → Compare to similar single-board computers

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

✓ Edge TPU coprocessor takes ML inference work off the host CPU
✓ USB 3.1 Gen 1 link at up to 5Gb/s for moving model input data
✓ Plugs into a Raspberry Pi or other SBC over USB, no HAT or soldering
✓ Full support for MobileNet and Inception; custom architectures possible
✓ Runs TensorFlow-built models and is compatible with Google Cloud

Cons

✗ Host must run Debian Linux; the listing names no other operating systems
✗ Listing names TensorFlow only; other ML frameworks are not covered
✗ Onboard Cortex-M0+ MCU has just 16 KB flash and 2 KB RAM
✗ Needs a USB 3 host port to use its full 5Gb/s link

Manufacturer description

The Google Coral USB Edge TPU ML Accelerator adds dedicated machine-learning hardware to a Raspberry Pi or another embedded single-board computer. It is a USB coprocessor built around Google's Edge TPU. Your board's CPU runs the application while the Edge TPU handles the neural-network inference. Setup is plug-in. The accelerator connects through a USB 3.0 Type-C socket, and the included USB 3.1 (Gen 1) cable carries data at up to 5Gb/s, so there is no HAT to fit and nothing to solder. The host must run Debian Linux. Inside, an Arm 32-bit Cortex-M0+ microcontroller running at up to 32 MHz…

SpecPicks Verdict

SpecPicks scored Google Coral USB Edge TPU ML Accelerator coprocessor using a rating × review-volume × price-fit model applied to published specs and reviews across the single-board computers category. Google Coral's single-board computers 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 single-board computers 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.

Frequently Asked Questions

Does the Google Coral USB Accelerator work with a Raspberry Pi?

Yes. It is designed for the Raspberry Pi and other embedded single-board computers. It connects over USB through its USB 3.0 Type-C socket, and the host CPU must run Debian Linux.

What kind of USB connection does it use?

The device has a USB 3.0 Type-C female socket and comes with a USB 3.1 (Gen 1) cable rated for SuperSpeed transfers of up to 5Gb/s.

Which machine learning models can I run on it?

Models are built with TensorFlow. MobileNet and Inception architectures are fully supported, and custom architectures are possible. Check Google Coral's documentation for model compilation requirements.

What hardware is inside besides the Edge TPU?

Alongside the Google Edge TPU coprocessor, it has an Arm 32-bit Cortex-M0+ microcontroller that runs at up to 32 MHz, with 16 KB of flash memory with ECC and 2 KB of RAM.

Does it work with Windows or macOS hosts?

The listing only confirms Debian Linux on the host CPU. Check Google Coral's official documentation for current support on other operating systems before you buy.

Key Features

Specifications: Arm 32-bit Cortex-M0+ microprocessor (MCU): up to 32 MHz max 16 KB flash memory with ECC 2 KB RAM connections: USB 3.1 (Gen 1) port and cable (SuperSpeed, 5Gb/s transfer speed)
Features: Google Edge TPU ML acceleration coprocessor, USB 3.0 Type-C female, supports Debian Linux to host CPU, models are built with TensorFlow Supports MobileNet and Inception architectures through custom architectures are possible. Compatible with Google Cloud
Specifications: Arm 32-bit Cortex-M0+ Microprocessor (MCU): Up to 32 MHz max 16 KB Flash memory with ECC 2 KB RAM Connections: USB 3.1 (gen 1) port and cable (SuperSpeed, 5Gb/s transfer speed)
Features: Google Edge TPU ML accelerator coprocessor, USB 3.0 Type-C socket, Supports Debian Linux on host CPU, Models are built using TensorFlow. Fully supports MobileNet and Inception architectures through custom architectures are possible. Compatible with Google Cloud.
Features: Google Edge TPU ML accelerator coprocessor, USB 3.0 Type-C socket, Supports Debian Linux on host CPU, Models are built using TensorFlow. Full supports MobileNet and Inception architectures through custom architectures are possible. Compatible with Google Cloud.

Full Specifications

Brand	Google Coral
Model	Coral-USB-Accelerator
Manufacturer	Google Coral
ItemPartNumber	Coral-USB-Accelerator
Full listing title	Google Coral USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers

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