The AI Silicon Shortage Explained: TSMC, Nvidia CPO, Memory Crisis & What Comes Next
SemiAnalysis Weekly
The podcast analyzes the AI silicon shortage impacting the tech industry, highlighting wafer fab capacity constraints at TSMC and memory supply issues. Demand for AI accelerators is outpacing supply, squeezing consumer electronics. TSMC's role as "kingmaker" in allocating resources and prioritizing stable, high-volume customers like Apple and Nvidia is examined. The discussion covers the impact of memory constraints on smartphone production and the potential for double ordering to skew demand visibility. Co-packaged optics (CPO) and multi-source agreements (MSAs) are also discussed, with an analysis of Nvidia's evolving strategy and the dueling standards in the optical interconnect space. The panel also debates signals that might indicate a peak in AI demand.
Part 1: The Silicon Shortage, Causes, and TSMC
Part 2: Market Impact and Supply Chain Constraints
Part 3: Hyperscaler Spending and GPU Economics
Part 4: Industry Cycles and Demand Monitoring
Part 5: Co-Packaged Optics (CPO) and Nvidia's Strategy
Part 6: Technical Standards and Future Connectivity
Sign in to continue reading, translating and more.
Open full episode in Podwise
