Google Coral
USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers
*Price sourced from Amazon.com. Last updated 2026-06-09. Price and availability subject to change.
Bottom line: The USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers is a niche pick — read recent reviews before buying in the single-board computers category, priced around $135.99. Read recent reviews carefully before committing.
Coral USB Accelerator brings powerful ML (machine learning) inferencing capabilities to existing Linux systems. Featuring the Edge TPU, a small ASIC designed and built by Google, the USB Accelerator provides high performance ML inferencing with a low power cost over a USB 3.0 interface. For example, it can execute state-of-the-art mobile vision models, such as MobileNet v2 at 100+ fps, in a power-efficient manner. This allows fast ML inferencing to embedded AI devices in a power-efficient and privacy-preserving way. Models are developed in TensorFlow Lite and then compiled to run on the USB…
SpecPicks Verdict
SpecPicks classifies USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other… as a niche pick — read recent reviews before buying in the single-board computers 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 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 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 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
- 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
| UPC | 608614201389 |
|---|---|
| ASIN | B07R53D12W |
| Brand | Google Coral |
| Manufacturer | Google Coral |
| Model Number | Coral-USB-Accelerator |
| Mfr Part Number | Coral-USB-Accelerator |
| Processor Brand | ARM |
| Processor Count | 1 |
| Total Usb Ports | 1 |
| CPU Manufacturer | ARM |
| Connectivity Technology | USB |
| Memory Storage Capacity | 16 KB |
| Item Dimensions L x W x H | 3"L x 2"W x 1"H |
Ready to buy?
USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers 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.
*Price sourced from Amazon.com. Last updated 2026-06-09. Price and availability subject to change.
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