AI inference optimization 2

https://vwozjyqymd.fotosdefrases.com/why-the-rocm-software-platform-is-gaining-ground-among-compute-engineers

AI inference optimization focuses on making trained models run faster and more efficiently during real-world use, especially on devices with limited resources. It involves techniques like model pruning, quantization, and efficient architecture design to reduce computational demands without sacrificing accuracy, enabling quicker predictions and lower energy use in applications from smartphones to edge devices.