AI accelerator chip startup Mythic has launched its first product, a 35-TOPS “high-end edge” accelerator whose analog compute-in-memory architecture enables low power consumption and low cost, alongside low latency and deterministic behavior.
The M1108 uses Mythic’s analog compute-in-memory technique based on 40-nm Flash memory cells. It’s aimed at edge applications such as power-over-ethernet security cameras that need to run sophisticated AI models within a power budget. Another likely application is video analytics boxes which need to accelerate multiple AI models on high-resolution footage while managing power and heat.
Source: Mythic AI Accelerator Targets High-End Edge With 35 TOPS | EE Times
In an interview with EE Times, Ali Pourkeramati, CEO of FMC, said there’s considerable interest in its FeFET memory. The company has exclusive license to two fundamental FeFET patents through the Technische Universität Dresden (TUD). The company was spun out from TU Dresden in 2016 by its co-founders Stefan Muller and Menno Mennenga.
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