As vision-centric large language models move on-device, performance measured in raw TOPS is no longer enough. Architectures need to be built around real workloads, memory behavior, and sustained utilization, especially at the edge.
Vision LLMs are changing the edge AI equation
For the last decade, most edge AI silicon has been built to do one job extremely well: run convolutional networks for...
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