£76.61

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£77 today · usual range £55–£77 · best ever £55

Coral by Google Google Coral M.2 Accelerator - Dual Edge TPU 8 TOPS

Amazon

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 58 days · 58 data points (no recent data)

Historical
Generating forecast…
£76.87 £52.26 £57.63 £63.00 £68.37 £73.74 £79.11 28 July 2026 11 August 2026 25 August 2026 08 September 2026 23 September 2026
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Price Distribution

Price distribution over 58 days • 3 price levels

Days at Price
Current Price
19 days 17 days 22 days · current 0 6 11 17 22 £55 £71 £77 Days at Price

Price Analysis

Most common price: £77 (22 days, 37.9%)

Price range: £55 - £77

Price levels: 3 different prices over 58 days

Description

The Coral M.2 Accelerator with Dual Edge TPU brings powerful machine learning performance to embedded and mobile systems through an M.2 E-key interface. Each of the two Edge TPU coprocessors delivers 4 TOPS (trillion operations per second) at just 2 watts of power consumption per unit, combining for 8 TOPS total performance. This enables efficient execution of modern computer vision models such as MobileNet v2 at nearly 400 FPS on a single Edge TPU, with doubled throughput when leveraging both processors. The dual TPU design integrates seamlessly into existing systems, making it ideal for developers building edge AI applications that require low-power, high-speed inference without relying on cloud connectivity or external acceleration hardware.

Key Features

Dual Edge TPU configuration delivers 8 TOPS total computing performance for accelerated machine learning inference on edge devices.

Each Coral Edge TPU coprocessor operates at 4 TOPS with minimal 2-watt power consumption, enabling efficient deployment in power-constrained environments.

M.2 E-key interface allows direct integration of the Google Coral M.2 Accelerator into existing motherboards and embedded systems.

Supports modern vision models like MobileNet v2, achieving nearly 400 FPS throughput on a single Edge TPU with scalable performance.

Designed specifically for mobile and embedded systems requiring on-device machine learning without cloud dependency or high power draw.

Product Specifications

Domain
Amazon UK
Listed Since
30 July 2022

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