Nvidia Is Cutting Rubin Ultra’s Memory. Is Micron’s HBM Boom in Danger? - 24/7 Wall St.

As the artificial-intelligence infrastructure expands rapidly, the semiconductor industry is facing an unprecedented supply-demand imbalance. High-bandwidth memory (HBM), a core component in AI accele... Read original →

Nvidia's potential reduction in Rubin Ultra's HBM capacity highlights the growing mismatch between AI chip demand and HBM supply chain capabilities. This move directly impacts Micron and SK Hynix, but not necessarily the long-term HBM demand trajectory. The root issue lies in the production challenges of HBM4e at 3nm and EUV nodes, forcing manufacturers to balance performance and cost. Looking ahead, HBM5 and higher-capacity solutions are expected to dominate, signaling continued growth in AI memory needs. Geopolitical risks, especially in Taiwan, China and South Korea, are pushing suppliers to enhance self-reliance. In competitive dynamics, rivals may seize market share if Nvidia scales back specs. Over the next 12–24 months, HBM demand remains robust, but supply chain resilience will be a key differentiator for manufacturers.