Today’s engineers face an unprecedented acceleration in AI hardware complexity, as explained in the recent research article “ Revisiting Edge AI: Opportunities and Challenges .” The article examines the rapid growth of edge AI and the challenges it creates, including resource constraints, model architecture limitations, and network demands across edge-AI deployments. The acceleration is driven by a fundamental shift in how modern AI models are built and scaled. As the models have become much larger and more complex, they are computationally more demanding because they contain more parameters a