The Hidden System Cost Behind Every AI Token

The real cost of AI inference isn't the model — it's the system underneath it. Memory, interconnect, latency, and data movement all determine how fast and how efficiently AI delivers results at scale. In this Short, @Ronald_vanLoon breaks down why @huawei's Tau Scaling Law — also known as Her's Law, named after He Tingbo and coined by his peers — is a critical framework for enterprise AI leaders. Introduced at the IEEE International Symposium on Circuits and Systems in Shanghai, it reframes the post-Moore path: reducing system time across devices, circuits, chips, and systems to make AI faster and more economical. The next AI advantage isn't just about which model you use. It's about whether the system beneath it can deliver. Learn More: https://ift.tt/WDTUMJ1 #HuaweiPartner #Huawei #AI #MooresLaw #Cloud #Semiconductors #DataCenter #ChipDesign

from Ronald van Loon https://www.youtube.com/shorts/QaJS60CPlsc