Episode
The Paradox of AI Chip Memory Bandwidth
- Published
- Jun 23, 2026
- Duration seconds
- 385
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Summary
Why is Nvidia's stock down while memory makers like Micron and Applied Materials surge? This episode explains the hidden bottleneck in AI inference: memory bandwidth. Lucas and Luna break down how HBM (high-bandwidth memory) is becoming the critical constraint for AI workloads, why chip designers like Nvidia and AMD are losing ground to equipment makers like ASML and AMAT, and what it means for the next wave of AI hardware. With Nvidia down 3.6% in a week and memory stocks rallying, we explore a fundamental shift in the AI supply chain that most investors are overlooking. #AI #ChipMemory #MemoryBandwidth #Nvidia #Micron #AppliedMaterials #ASML #HBM #AIHardware #Semiconductors #Technology #FexingoBusiness #BusinessPodcast #AIInference #TechInvesting #SupplyChain #ChipStocks #DataCenter Keep every episode free: buymeacoffee.com/fexingo