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AnalogAI Selects memBrain™ SAGE Intellectual Property from Silicon Storage Technology® for its First Real-world Edge AI Processors

  • AnalogAI has selected Microchip Technology's Silicon Storage Technology (SST) memBrain™ Synaptic Analog Generative Engine (SAGE) neuromorphic hardware IP for its real-world edge AI processors.
  • The collaboration enables AnalogAI to achieve high analog compute-in-memory performance at or below one watt for ultra-low power applications.
  • Targeted use cases include environment-adapting humanoid robots, drones, & vehicles that require real-time inference & on-device training.
  • SST memBrain SAGE IP is based on production-ready SuperFlash memory & has been deployed in 40 nm & 28 nm foundry processes.
  • The technology roadmap includes 22 nm memBrain SAGE IP development to ensure reliable, high-performance, & low-power non-volatile storage.
  • Key features of the IP include a Tensor In-Memory Logic Element (TILE), optimized ESF3 bitcells storing up to 8 bits per cell, custom array circuitry, & nanoamp-level control logic.
  • AnalogAI CEO Jaejun Lee stated the silicon-proven IP accelerated development time while meeting market requirements for ultra-low power & high performance.
  • Microchip SVP Mark Reiten highlighted the IP as the core inference engine delivering the necessary compute performance & power efficiency for AnalogAI's targets.
  • Customers can access pricing & availability details via the SST website or by contacting regional sales executives.
  • AnalogAI is headquartered in the Seoul area of South Korea & focuses on physical-world edge applications requiring post-deployment adaptation.