How AI Companies Are Using Micron Memory Chips

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How AI Companies Are Using Micron Memory Chips

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Amid a broad AI stock selloff in late June 2026, memory maker Micron has bucked the trend, with Wall Street calling it 'the next Nvidia.' In this episode, Lucas and Luna explore why high-bandwidth memory is becoming the bottleneck for AI inference and training, how Micron's HBM4E chips fit into the picture, and what the shift from compute-bound to memory-bound AI workloads means for enterprise adoption. They reference the recent five-day drop in AI stocks like Nvidia and AMD, the 18% plunge in ARM, and contrast that with Micron's relative strength. The conversation digs into the economics of inference cost per token, the role of memory bandwidth in reducing latency, and why hyperscalers are rethinking their hardware stacks. A concrete look at the memory layer that powers the AI stack. #Micron #AI #Semiconductors #Memory #HBM #Inference #Nvidia #AMD #ARM #EnterpriseAI #WallStreet #ChipBottleneck #AIHardware #Latency #DataCenters #Business #Technology #FexingoBusiness Keep every episode free: buymeacoffee.com/fexingo

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