adaptive computing for AI

https://ace-wiki.win/index.php/How_the_AMD_Instinct_MI450_Is_Reshaping_Compute_in_HPC_and_AI_Workloads

Adaptive computing for AI refers to systems that dynamically adjust their processing capabilities based on the demands of specific AI tasks like training or inference. Instead of relying on fixed hardware, these systems use reconfigurable architectures such as FPGAs or adaptive accelerators that optimize compute resources in real time. This flexibility allows for better efficiency, lower power consumption, and faster performance across diverse AI workloads especially as models evolve and scale.…