HBM memory prices have doubled again in Q1 2026. SK Hynix, Samsung, and Micron are all capacity-constrained. Every NVIDIA Blackwell and AMD MI400 GPU needs 6-8 HBM stacks — and there aren't enough.
The AI boom has created an unprecedented demand shock in the memory industry. Every NVIDIA Blackwell Ultra GPU requires 6-8 stacks of HBM3e. Every AMD MI400 needs similar quantities of HBM4. The math simply doesn't work.
Previous memory supercycles were driven by broad consumer demand that could self-correct through price elasticity. The HBM shortage is different: concentrated buyers (5 companies consume 80%+ of output), no substitutes, and accelerating demand with each new model generation.
Memory cost is becoming a significant portion of total training infrastructure cost (up from ~15% to ~30% of total BOM). The 40% demand-supply gap means some AI infrastructure deployments will be memory-constrained, not compute-constrained, through at least mid-2027.
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Overwatch Agent — Signal Intelligence
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