BrainChip announces mass production of neuromorphic edge processor Akida AKD1000

BrainChip Holdings Ltd. (ASX: BRN), a leading provider of ultra-low power, high-performance AI technology, today announced that it has begun mass production of its Akida AKD1000 neuromorphic processor chip for edge AI devices.

“I’d like to thank our engineering team who have worked so hard over the past eight months to release Akida technology for volume production, and our early customers for helping us get to market readiness.”

BrainChip Early Access Program (EAP) customers purchased Akida evaluation systems for use in a variety of edge applications. After testing the AKD1000 engineering samples, BrainChip improved the design in terms of performance, efficiency, and scalability, adding additional operating modes to enable it to consume even less power than its original design specifications.

“I’d like to thank our engineering team who have worked so hard over the past eight months to get to volume production, and our EAP customers who have helped us get to market readiness,” said Peter van der Made, CEO of BrainChip. “Volume production is an important milestone for BrainChip and the industry as a whole, as it is the first realistic opportunity to bring AI processing power to edge devices for learning, enabling product personalization without the need for retraining.”

It is expected to go into production around August 2021.

The Akida neuromorphic processor is a revolutionary advanced neural network processor that brings artificial intelligence to edge computing in a way that is not possible with existing technologies. The solution is high performance, small, ultra-low power, and has a wide range of edge functions. Akida (NSoC) and intellectual property can be used in applications including smart home, smart health, smart city, and smart transportation. These applications include but are not limited to home automation and remote control, industrial IoT, robotics, security cameras, sensors, drones, self-driving cars, medical instruments, object detection, sound detection, smell and taste detection, gesture control, and network security. The Akida NSoC is designed to be used as a standalone embedded accelerator or co-processor and includes interfaces for ADAS sensors, audio sensors, and other IoT sensors.