The Circuit

Ben Bajarin and Jay Goldberg explain some of the nuanced dynamics of the semiconductor industry cyclicality. They outline the challenges in areas like data center spending, PC market doldrums, and softness in smartphones and what that may mean for 2024 if AI is a true computing inflection point. 

Ben Bajarin and Jay Goldberg discuss Jay's recent article and flesh out a thesis related to AI's impact on different segments of the semiconductor industry. 

Ben Bajarin and Jay Goldberg discuss the opportunities and challenges facing the semiconductor industry growing to a trillion-dollar industry by 2030, as some predict.  They explore foundry opportunities and challenges, chiplets, and the role of scarce resources like material and energy.  

Ben Bajarin and Jay Goldberg explore the potential for Arm CPUs in the datacenter and whether they can truly challenge x86's dominance when it comes to datacenter CPU workloads.   

Jay Goldberg continues his series of Back to Basics with some history and anecdotes of wireless standards.   

Ben Bajarin and Jay Goldberg discuss new competitive dynamics emerging in semis thanks to AI. They also highlight a few takeaways from AMDs recent AI and Datacenter day they attended.  

Ben Bajarin and Jay Goldberg discuss Apple's latest technology product and platform in Apple Vision Pro (AVP). The look at what was learned about the underlying technology, Ben's experience having a demo, and where the competitive implications for others. 

Ben Bajarin and Jay Goldberg are joined by special guest Calista Redmond, CEO of RISC-V international.  They discuss RISC-V and what makes it unique, as well as emerging applications for RISC-V and how this new platform opens up new opportunities in silicon innovation. 

In this episode, Ben Bajarin and Jay Goldberg discuss how Apple's approaches to designing their silicon and explore some of the fundamental reasons Apple silicon is such a significant competitive advantage for Apple. 

In this episode, Ben Bajarin and Jay Goldberg discuss the ways AI developers can take advantage of on-device processing to help reduce costs on cloud AI, improve accuracy, safety, and privacy.