The focus of AI infrastructure competition is shifting. Larger models and faster compute engines remain important, but for AI systems to scale reliably across real-world services and industrial environments, it is becoming equally important to determine where data resides, which memory layer processes it, and how efficiently it can be retrieved when needed. This shift […]
The post From HBM to eSSD: How SK hynix is charting the future of full-stack memory first appeared on SK hynix Newsroom .
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