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AI CLUSTERED EVENT · 10/14/2026

SK Hynix Predicts 20x Growth in AI Infrastructure Performance by 2030, Proposing HBF and 3D DRAM Storage Optimization

1 reports archived1 independent sourcesupdated 10/14/2026, 17:34:06
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SK Hynix predicts a 20x growth in AI infrastructure performance scale by 2030, identifying data migration caused by expanding KV Cache as a major bottleneck. The company proposes optimizing the global storage hierarchy through High Bandwidth Flash (HBF) and 3D stacked DRAM, targeting HBF bandwidth at 50% of same-generation HBM with 10x capacity increase.

LATEST/SK Hynix predicts a 20x growth in AI infrastructure performance scale by 2030, identifying data migration caused by expanding KV Cache as a major bottleneck. The company proposes optimizing the global storage hierarchy through High Bandwidth Flash (HBF) and 3D stacked DRAM, targeting HBF bandwidth at 50% of same-generation HBM with 10x capacity increase.

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Total 1 reports · Latest first
  1. IT之家 · 智能时代T2·68 pts
    • AI inference demand is exploding across task complexity, context length, and request volume, driving a predicted 20x growth in infrastructure performance scale by 2030.
    • Expanding KV Cache forces data distribution across HBM, DRAM, and SSD, making data migration a new bottleneck for performance and energy consumption.
    • SK Hynix is advancing 3D stacked DRAM and High Bandwidth Flash (HBF) to create new storage tiers, targeting HBF bandwidth at 50% of same-gen HBM with 10x capacity.
SK Hynix Predicts 20x Growth in AI Infrastructure Performance by 2030, Proposing HBF and 3D DRAM Storage Optimization | Today for AI