AI related technologies have been around for decades. It is nothing new despite the recent hype that has elevated AI to the forefront of the “digital” discussion. Why are we excited about AI? It is becoming increasingly ubiquitous thanks to some pivotal advancements in how and where AI can be deployed. TinyML is one of these advancements that promises to bring AI to the tiniest of things.
The semiconductor industry is the foundation of our digital world. Everything runs on semiconductor products and continues to advance with each new process node. As we reach the physical limits of Moore’s Law, what comes next? Heterogenous computing and heterogenous packaging are opening up new possibilities for progressing Moore’s Law through advancements in the way that we design, integrate semiconductor devices and systems.
Shortly after Softbank announced that it was looking to spinoff or sell Arm, which they acquired in 2016 for $32 billion, the rumor mill went into full speed. Speculation ran the gamut from Intel to Apple as potential buyers. Who would court Arm? Rumors settled on Nvidia, the GPU company. Would a Nvidia + Arm union make sense? After all, Nvidia has done well and created a disruptive narrative within the semiconductor industry with its GPU-centered plot line which branches off into numerous subplots in telco networking, edge computing and various AI application domains such as autonomous vehicles, intelligent systems and smart manufacturing.