Marvell can still compound because it sits in one of the hardest parts of the AI build-out:
custom silicon plus the links that make large clusters usable. The upside case does not need a dramatic
re-rating. It mainly needs Marvell to hold a handful of
hyperscaler roadmaps, expand content per deployment through optics and switching, and turn recent acquisitions into qualified sockets. I assume most value comes from real scale, not multiple expansion.