Summary
- The post questions whether TPUs (e.g., Google’s custom chips) pose a significant threat to Nvidia’s GPU dominance, given that the vast majority of Nvidia’s recent growth stems from Gen AI workloads where TPUs are reportedly more efficient.
- The author argues Jensen’s defense (GPUs are more versatile) is weak because the “other” use cases (gaming, mining) represented a much smaller market cap (≈$0.5T) compared to the current AI-driven valuation (≈$5T).
- The thesis is that if TPUs capture a meaningful share of AI inference/training, Nvidia’s premium may be at risk, even if the company remains relevant in other niches.
Quality assessment: Speculation with reasonable logic, but lacks hard data on market share or cost comparisons. Relies on an interview anecdote and general industry knowledge.