$Micron Technology(MU)$ AI datacenters don't run on GPUs alone. They run on memory and storage too.

My top 5 AI memory/storage plays:

MU — The purest U.S. AI memory play. HBM and DRAM demand keeps exploding as AI servers require more bandwidth and capacity.

$SanDisk Corp.(SNDK)$  — NAND is becoming a critical layer for AI inference, KV cache and massive datasets. Flash demand should keep rising as AI workloads scale.

$Western Digital(WDC)$  — AI generates mountains of data that have to live somewhere. Training datasets, inference logs, embeddings and outputs create recurring storage demand long after the GPU is installed.

$Seagate Technology PLC(STX)$  — HAMR and hyperscale storage demand could be a monster combination. AI datacenters are driving enormous long-term storage requirements.

$Silicon Motion Technology(SIMO)$  — The sleeper. Enterprise SSD controllers are becoming increasingly important for AI infrastructure, KV-cache offload and near-GPU storage.

Everybody chases the GPU. I'm watching the companies feeding those GPUs with HBM, DRAM, NAND and massive amounts of storage.

AI compute keeps scaling, memory per server rises, inference explodes, stored data compounds. That's a multi-year infrastructure cycle.