adaptive computing for AI 4

https://xeon-wiki.win/index.php/Why_Adaptive_Computing_for_AI_Is_Reshaping_Hardware_Design

Adaptive computing for AI is about designing systems that can reconfigure themselves in real-time to match the processing demands of a specific AI model, whether it's running inference on a low-power device or training large models in a data center. This means hardware can shift resources dynamically, like adjusting when to rely on cloud servers versus local edge chips. It's less about brute force and more about smart allocation, ensuring AI workloads run efficiently without wasting energy or c…