GAP-8: A RISC-V SoC for AI at the Edge of the IoT

2024-08-10 GREENWAVES Official Website
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GAP-8: A RISC-V SoC for AI at the Edge of the IoT

Current ultra-low power smart sensing edge devices, operating for years on small batteries, are limited to low-bandwidth sensors, such as temperature or pressure. Enabling the next generation of edge devices to process data from richer sensors such as image, video, audio, or multi-axial motion/vibration has huge application potential.


However, edge processing of data-rich sensors pose the extreme challenge of squeezing the computational requirements of advanced, machine-learning-based near-sensor data analysis algorithms (such as Convolutional Neural Networks) within the mW-range power envelope of always-ON battery-powered IoT end-nodes.


To address this challenge, GREENWAVES propose GAP-8: a multi-GOPS fully programmable RISC-V IoT-edge computing engine, featuring a 8-core cluster with CNN accelerator, coupled with an ultra-low power MCU with 30 μW state-retentive sleep power. GAP-8 delivers up to 10.


GMAC/s for CNN inference (90 MHz, 1.0V) at the energy efficiency of 600 GMAC/s/W within a worst-case power envelope of 75 mW.

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本文由Natalia转载自GREENWAVES Official Website,原文标题为:GAP-8: A RISC-V SoC for AI at the Edge of the IoT,本站所有转载文章系出于传递更多信息之目的,且明确注明来源,不希望被转载的媒体或个人可与我们联系,我们将立即进行删除处理。

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