I’m still highest conviction on the memory layer of the AI stack. GPUs get the headlines, but HBM/DRAM are becoming the real throughput bottlenecks.
Right now the stack feels like:
Compute
Memory
Networking/optical
Power
$MU still has room if the supply lock-in thesis holds, but I think optical and power infra are the next major rotations once AI scaling hits physical limits instead of compute limits.
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