Unlocking Edge Acceleration with TinyEngine NPU-Integrated MCUs (Download)
Advances in embedded processors have opened the field for bringing increased AI intelligence to the edge. However, one major challenge has emerged: Traditional edge AI solutions (graphics processing units (GPUs), field-programmable gate arrays (FPGAs), and application-specific integrated circuits (ASICs)) have bounded applicability because most of them are limited in terms of flexibility. Typically, ASICs and/or high-power-consumption GPUs and FPGAs fall into this category.
Looking for answers to the shortcomings of existing products, engineers and designers examined the use of embedded processors, for both lower-end, resource-constrained consumer products as well as complex industrial operations. The solution? The TinyEngine neural processing unit (NPU).
