aiqbench analysis

The article addresses a critical sustainability challenge specific to the AI industry: the massive e-waste generated by the specialized hardware required for training and running large models. It highlights that current environmental assessments often underestimate total waste because they focus solely on GPUs while ignoring essential supporting infrastructure like power systems, cooling units, and networking equipment destined for scrap. This analysis is vital for understanding the full lifecycle impact of the AI boom beyond just chip performance metrics.