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GMIF 2026 Summit Discusses the Storage Challenges Posed by AI Inference

1 reports 1 reporting sources 7 days agoNew

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As of March this year, China's daily average token call volume exceeded 140 trillion, and large-scale inference is pushing SSDs to extend from capacity and persistent storage toward the compute side. Samsung demonstrated a Z-NAND architecture, placing model weights in Z-NAND and keeping the KV Cache in DRAM; large North American internet companies have begun replacing some HDDs with high-capacity QLC SSDs. Data management is also shifting from fallback-style tiering to proactive tiering at the outset of system design and dynamic scheduling during operation.

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  1. GMIF 2026: 140 trillion Token calls per day are changing SSD capabilities and division of labor

    As of March this year, China's daily average Token call volume exceeded 140 trillion, and large-scale inference is driving SSDs to extend from capacity and persistent storage toward the compute side. Samsung demonstrated a Z-NAND architecture, placing model weights in Z-NAND and keeping KV Cache in DRAM; large North American internet companies have begun replacing some HDDs with high-capacity QLC SSDs. Data management is also shifting from fallback-style tiering to proactive tiering at the outset of system design and dynamic scheduling during operation.

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