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AnalogAI Implements Edge AI Processor with SST memBrain SAGE IP

Google 우선 소스Published2026.09.16 10:19


 
Securing aCIM Performance at Ultra-Low Power Below 1W, Targeting Real-World Inference for Robots, Drones, and Vehicles
 
AnalogAI has integrated neuromorphic hardware IP from Silicon Storage Technology (SST), a subsidiary of Microchip Technology, into its adaptive edge AI processor for real-world environments. The architecture simultaneously processes on-device learning and inference in a single low-power design, targeting applications such as humanoid robots, drones, and vehicles that require real-time response to physical environmental changes.
 
Microchip Technology announced on the 16th that SST's memBrain SAGE (Synaptic Analog Generative Engine) IP has been adopted as the core inference engine for AnalogAI's edge AI processor.

AnalogAI's processor is designed based on hardware-aware algorithms to enable simultaneous learning and inference of AI models in real-world environments.
 
SST's memBrain SAGE IP is based on SuperFlash memory and has completed silicon verification, developed and deployed in 40 nm and 28 nm foundry processes.

Support for 22 nm process is also included in the technology roadmap.

Key components include △memBrain Tensor In-Memory Logic Element (TILE) △ESF3 bitcell storing up to 8bpc at nanoampere (nA) level △customized array, decoder, and driver circuits △optimized DAC and ADC △summator and high-voltage bias circuits △IP integration services and technical support.
 
AnalogAI stated that it is implementing analog compute-in-memory (aCIM) performance under ultra-low power conditions below 1W by utilizing memBrain SAGE IP.

AnalogAI CEO Lee Jae-jun stated, "We have confirmed that the silicon-verified memBrain SAGE IP is a suitable solution that meets ultra-low power and high-performance requirements while shortening development time."

Mark Reiten, Senior Vice President of Microchip's Intelligent Compute Business Unit, stated, "memBrain SAGE IP simultaneously delivers the computational performance and power efficiency required by AnalogAI."

AnalogAI is headquartered in Pangyo and targets edge applications in physical environments that require continuous adaptation even after deployment as its primary market.
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