Fueling seamless AI at scale

AI's growing computational demands from large models and collaborative agents necessitate a new computing paradigm, emphasizing advancements in hardware, machine learning efficiency, and system integration. However, the evolution of silicon technology faces challenges as Moore's Law approaches its physical and economic limits, impacting AI's scalability and performance.