Memory, HBM, CXL, and DDR5

Storage / Memory Bottleneck

Why: AI infrastructure is becoming memory- and storage-hungry beyond HBM. Training and inference create pressure across HBM, DDR5/RDIMM, NAND SSDs, nearline HDDs, CXL memory expansion, storage controllers, and advanced packaging.

Core non-consensus angle: HBM leaders are already widely discussed; the next opportunity may sit in the "boring memory stack" that lets AI factories feed GPUs, host agents, keep context/state, and store generated data cheaply.

US / global listed companies: Micron, Western Digital, Seagate, SanDisk, Pure Storage, NetApp, Astera Labs, Rambus, Marvell, Broadcom.

A-share / China listed companies: 澜起科技, 兆易创新, 江波龙, 佰维存储, 德明利, 北京君正, 深科技, 香农芯创, 华海诚科, 长电科技, 通富微电.

Signals: DDR5 server penetration, HBM4 supply, NAND shortage, nearline HDD exabyte growth, CXL memory expansion, memory pooling, SSD controller demand, storage controller ASP, advanced packaging for HBM, domestic DRAM/NAND substitution.

Watch terms: "CXL MXC", "memory pooling", "tiered memory", "nearline HDD", "enterprise SSD shortage", "HBM4", "SOCAMM", "DDR5 RCD", "MRDIMM", "PCIe retimer", "NAND allocation to AI servers".

First deep-dive candidates: 澜起科技, Micron, Seagate, Western Digital, Astera Labs, Rambus, 江波龙, 佰维存储, 深科技.