adaptive computing for AI 2

https://bravo-wiki.win/index.php/Where_AMD_enterprise_AI_Fits_in_the_Real-World_Data_Center_Evolution

Adaptive computing for AI refers to systems that dynamically adjust their processing power, architecture, or algorithms based on the specific demands of AI workloads. This flexibility allows for more efficient handling of diverse tasks like training deep neural networks or running real-time inference. By tailoring compute resources to the problem, adaptive computing improves performance, reduces energy use, and supports a broader range of AI applications across different environments.