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DigiTimes
AI inference boom fuels memory race, with Samsung in pursuit
The rapid expansion of AI inference workloads is accelerating demand for high-bandwidth memory (HBM) and advanced DRAM, triggering a fierce race among memory manufacturers. Samsung is aggressively pursuing market share against leaders SK Hynix and Micron, with production lines running near full capacity and DDR5 margins improving. However, the article suggests that the AI memory squeeze may not ease before 2028, pointing to sustained tight supply. This competition is reshaping memory supply chains, with implications for AI hardware costs and deployment timelines. The broader semiconductor industry is watching closely as memory becomes a critical bottleneck for AI scaling.
MonitorConfidence: MediumMid term horizonInfrastructure risk: High
Published 11 May 2026, 04:21 UTC1 min read
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Summary
TL;DR
- AI inference demand is boosting memory chip sales, particularly HBM and DDR5.
- Samsung is actively pursuing a stronger position in the memory race.
- SK Hynix and Micron are current leaders in high-bandwidth memory.
- Production is running near full capacity across major memory makers.
- DDR5 product margins have improved due to strong demand.
- Memory supply constraints may persist until at least 2028.
- The competition is intensifying across the memory supply chain.
Interesting facts
- The AI memory squeeze is projected to last longer than typical memory cycles, possibly until 2028.