As embedded AI, video, and control applications explode, there is a growing need for heterogeneous processing to accelerate end-to-end compute within tight area and power constraints. Multi-chip processing solutions come with significant power, area, and complexity overhead; instead, designers need support for flexible, real-time preprocessing, efficient AI inference, and high-performance postprocessing on a single device.
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