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Memory must adopt foundry model to fix AI inference bottleneck, says Korean scholar

AI development is driving larger data transfers and higher GPU efficiency demands, pushing memory toward customization and prompting South Korean industry watchers to call for a shift to a “memory foundry” model. Sungkyunkwan University professor Seokjoon Kwon said at the Nano Korea 2026 forum that memory makers must move from mass production to order-driven design tailored to customer needs.