£76.87

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

G650-06076-01

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£77 today · usual range £53–£78 · best ever £53

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Price History & Forecast

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Last 90 days · 90 data points

Historical
Generating forecast…
£77.67 £50.81 £56.67 £62.53 £68.39 £74.25 £80.11 27 April 2026 19 May 2026 10 June 2026 02 July 2026 25 July 2026

Price Distribution

Price distribution over 90 days • 7 price levels

Days at Price
Current Price
10 days 7 days 6 days 1 day 11 days 19 days · current 36 days 0 9 18 27 36 £53 £54 £55 £56 £57 £77 £78 Days at Price

Price Analysis

Most common price: £78 (36 days, 40.0%)

Price range: £53 - £78

Price levels: 7 different prices over 90 days

Description

Upgrade your existing computer systems with the Google Coral M.2 Accelerator. Designed for mobile and embedded systems, this module uses an M.2 E-key interface to integrate two Edge TPUs into your hardware. By adding this component, you can significantly accelerate machine learning tasks without heavy power requirements. This accelerator provides massive computing power for modern AI applications. Each individual Edge TPU coprocessor delivers 4 trillion computing operations per second (4 TOPS) while consuming only 2 watts of power. With two TPUs on a single module, you achieve a total of 8 TOPS of performance. This makes it an ideal solution for running high-speed vision models, such as MobileNet v2, which can run efficiently at almost 400 FPS. Enhance your system's ability to handle complex machine learning workloads with this efficient and compact M.2 solution.

Key Features

Dual Edge TPU Integration - Features two Edge TPUs on one module to provide a total of 8 TOPS of computing performance for intensive machine learning tasks.

High-Speed AI Processing - Each coprocessor performs 4 trillion operations per second, allowing models like MobileNet v2 to run at nearly 400 FPS.

Energy Efficient Design - Delivers high-performance computing with a low power draw of only 2 watts per Edge TPU coprocessor.

M.2 E-key Interface - Designed to integrate easily into existing computer systems through a standard M.2 E-key slot.

Optimized for Embedded Systems - Specifically built to benefit mobile and embedded systems that require accelerated machine learning capabilities.

Product Specifications

Domain
Amazon UK
Listed Since
30 July 2022

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