The year edge AI took off

December 22, 2020 // By Nick Flaherty
Edge AI attach rates: Omdia
Hardware startups focussed on low power inference engines for edge AI saw an explosion in 2020 as the eeNews Europe coverage showed

The year started with the launch of Grai Matter and its edge AI chip, as well as an analysis of the role of IP.

New chip architectures also emerged, optimised for edge AI. The open source RISC-V instruction set architecture saw various instruction extensions to boost performance for edge AI and so lower the power consumption. While new techniques such as spiking neural networks promised to reduce power consumption further, French AI scientist Yann LeCun at Facebook highlighted the vital role at the RISC-V will play.

Funders also recognised the growth, backing startups in the middle of the year to get designs to the next stage of development.

By July, details of one of the major chip designs emerged with Blaize having raised $65m. With design teams in the UK, US and India, the company was focussed on both hardware and software.

The edge devices also have to be part of the Internet of Things (IoT)

Next: Mainstream chips fight back for edge AI 

Predicted edge AI attach rates: Omdia

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