AnalogAI Selects SST’s memBrain SAGE IP for Edge AI Processors
AnalogAI has chosen memBrain Synaptic Analog Generative Engine (SAGE) neuromorphic hardware intellectual property (IP) from Microchip Technology’s Silicon Storage Technology (SST) subsidiary for its real-world edge AI processors. AnalogAI edge AI processors feature a hardware aware proprietary algorithm designed to simultaneously train and run inference on AI models in real-world environments.
AnalogAI is utilising SST’s memBrain SAGE IP to deliver high levels of analog compute-in-memory (aCIM) performance at or below one watt for ultra-low power edge applications. By leveraging the robust silicon SST memBrain SAGE IP based on SST SuperFlash, AnalogAI is developing new capabilities for real-world inference applications such as environment adapting humanoid robots, drones and vehicles.
“AnalogAI is pursuing innovative optimised solutions for edge AI inference that enable edge devices to adapt real-time to sudden changes in the environment,” said Mark Reiten, senior vice president of Microchip’s Intelligent Compute business unit. “As the core inference engine for AnalogAI’s first products, SST memBrain SAGE IP delivers the necessary compute performance coupled with the power efficiency AnalogAI requires to meet their application targets. We are pleased to welcome AnalogAI as the newest licensee of our SST memBrain IP, joining our rapidly expanding ecosystem.”
“AnalogAI selected SST’s memBrain SAGE IP after an industry-wide search of available offerings and determined the silicon-proven memBrain SAGE IP best enabled us to accelerate our development time while still achieving the ultra-low-power and high performance required in our market segment,” said Jaejun Lee, AnalogAI’s chief executive officer. “Analog Compute-in-Memory is a rapidly emerging field, and at AnalogAI we are pioneering new functionality for edge AI devices requiring real-world adaptation.”
SST’s memBrain SAGE IP has been developed and deployed in 40 nm and 28 nm foundry processes using production-ready SuperFlash memory. The current technology roadmap includes 22 nm memBrain SAGE IP development. Designed to provide reliable, high-performance and low-power non-volatile storage directly on the chip, SuperFlash memory is widely used in applications that require fast access times, high endurance and data retention without the need for external memory components.
