Enabling Intelligence in battery-powered IoT Devices

Intelligent devices that last for years on a battery

GreenWaves’ pioneering GAP8 IoT application processor enables the cost-effective development, deployment and autonomous operation of intelligent devices that capture, analyze, classify and act on the fusion of rich data sources such as images, sounds, radar, infra-red or vibrations for years on a battery. GAP8 delivers the computational and power agility necessary to integrate sophisticated signal processing and artificial intelligence into small, battery operated devices living on the very edge of the network.

GAP8 is available NOW!

GAP8 – best-in-class for AI on battery-operated devices

Compute Agility

GAP8 is uniquely optimized to execute a large spectrum of image and audio algorithms including convolutional neural network (CNN), with extreme energy efficiency, thanks to an integrated 8-core computational cluster combined with a convolution hardware accelerator.

Vector units, intrinsics and proprietary instruction set extensions help the 8 cluster cores execute faster than traditional parallel processor architecture without writing a single line of assembly code.

Fully programmable, RISC-V based PULP parallel architecture enables to cope with the rapidly evolving state-of-the-art in machine learning algorithms.

Applications/ markets

  • People / Object counting

  • Image recognition

  • Sound analysis

  • Preventative maintenance

  • Keyword spotting

  • Wearables

  • Smart toys

  • Smart home

  • Robots

Power Agility

GAP8 is uniquely designed to adapt the power consumption to the needs of the application. GAP8 incorporates state of the art dynamic voltage and frequency scaling and automatic clock gating keeping awake only the elements of the component necessary to service the current workload. GAP8 has an extremely low standby power consumption and ultra-fast wake up and power state transitions enabling it to consume energy only when required.

Consuming energy only when required

  • Ultra-fast wake up

  • Low stand-by power consumption

  • Dynamically adjustable frequency and voltage

Absolute low compute point

All the components of GAP8 are designed to consume as low as possible power and to be powered off or clock gated while not in use. This means that GAP8 delivers significant compute ability at absolute low energy usage. GAP8 enables to execute machine learning algorithms at power consumption levels compatible with years of battery-powered operation.

About GAP8

AI at the Very Edge

Embedded World 2019

GAP8 Blog

2023 Edge IA Technology Report

2023 Edge IA Technology Report TinyML in Action: How GreenWaves enables next-generation products 2023 Edge AI Technology Report, created in collaboration with industry experts, researchers, and tech providers, [...]