Renesas Embedded AI, Part 4: Architecture and Deployment Models
Renesas has described the architecture and deployment models of its RealityAI offering, covering the path from data processing to model deployment.
Full article
Renesas has described the architecture and deployment models of its RealityAI offering, covering the path from data processing to model deployment.
The problem it addresses is how algorithm and embedded teams can use one consistent flow to run models on MCU-class hardware rather than stopping at a cloud demo.
As edge AI spreads, demand grows for MCUs with NPUs and for the memory, power and sensor parts around them. Kewei Technology advises sizing RAM, Flash and supply headroom generously at selection time so a model upgrade does not force a board respin.
Kewei's take: what this means for procurement
Volume growth in an application pulls a whole chain of companion components with it. Rather than hunting for parts after a shortage starts, flag the long-lead lines in your BOM now.
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