Memory Capacity Lock-In

Memory Capacity Lock-In is the procurement pattern described in 存储三巨头破万亿市值，存储超级周期何时能见顶？｜ S10E13, where AI infrastructure customers try to secure future memory supply before shortages become worse. The source distinguishes this from older long-term agreements that could signal a cycle top by fixing both volume and price.

In the source’s account, some domestic agreements lock volume but not price, while some overseas arrangements require large deposits or customer participation in supplier capex. That makes the agreement less like a revenue ceiling and more like an infrastructure-control strategy inside Strategic AI Infrastructure Dependence.

Key Claims

• Scarce HBM, DRAM, NAND, and packaging capacity make early procurement strategically valuable.
• Long-term agreements can preserve supply without eliminating price exposure if they lock quantity but not price.
• Customer-funded or deposit-backed expansion can bind cloud, model, chip, and memory companies together.
• Capacity lock-in can extend an upcycle by reducing spot availability and increasing supplier confidence.

Connections

• AI Storage Supercycle and Storage Industry Cyclicality - market context for capacity binding.
• Nvidia, Jensen Huang, TSMC, SK Hynix, Samsung, and Micron Technology - supplier and capacity-seeking context.
• OpenAI, Google, Huawei, and Alibaba - AI infrastructure customers or platform operators that depend on secured capacity.
• Strategic AI Infrastructure Dependence and AI Compute Continuity - broader infrastructure-control frame.