Marvell is compounding optics, switching and custom compute at once, so a single AI cluster now turns into multiple revenue lines for it. Its CEO told investors this week that the data center segment now exceeds $2B per quarter. x.com
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Marvell sits directly inside one of the most important bottlenecks of the AI build-out, and Nvidia CEO Jensen Huang just called it the next company to join the trillion-dollar club. Nvidia's $2B investment and two growth curves support a path from about $200B in market value to $1 trillion. x.com x.com
The market may still be underestimating Marvell as it becomes a key supplier of custom silicon and connectivity for the AI build-out. At its Investor Day, Marvell put its addressable market at about $400 billion by 2030, targeted about $20B of FY28 revenue and said revenue could reach $70-90B by FY31. Last quarter revenue rose 37% to $2.74B on AI and data-center demand, and Nvidia's Jensen Huang reportedly called Marvell the next trillion-dollar company. x.com x.com
A potential Lumentum acquisition could let Marvell pair custom AI chips with the optical infrastructure connecting them. Following Celestial AI, it could become one of the few companies offering both, moving toward an AI-focused version of Broadcom; financing a deal this large remains a major concern. x.com
Marvell's extremely high expectations make its valuation hard to justify amid customer concentration, custom-silicon competition and acquisition risks. It benefits from AI infrastructure spending, but those risks are making investors question what it is worth. x.com
Marvell’s acquisition of Lumentum secures the laser supply its scale-up optics and Celestial’s most advanced silicon-photonics memory-pooling solution require. Nvidia had bought all of Lumentum’s capacity, leaving Marvell unable to provide scale-up optics in its ASIC program. Owning that supply and the IP could give Marvell an advantage over larger accelerator rivals and help it conquer AI accelerators via optics over the long term, despite existing contracts. x.com x.com x.com
Marvell's custom silicon business is set to accelerate significantly from the second half, as every hyperscaler builds its own chips and many build them with Marvell. Marvell raised its outlook for both fiscal 2027 and 2028 in one release. Q2 revenue rose 37% to $2.739B, data center rose 46% to 79% of sales, and the Q3 guide of $3.15B is another 15% sequential jump. CEO Matt Murphy said AI bookings remain exceptionally robust and growth should accelerate through fiscal 2027. x.com
Marvell's ambitious long-range outlook is encouraging about hyperscaler and AI-lab spending plans, but hitting it depends on AI revenue and token consumption soaring through decade's end. Even if its FY28 estimates rise again, Marvell trades at a healthy premium to Nvidia and Broadcom, especially on a GAAP basis, and those two are growing fast too. x.com
A rising value of compute per watt should benefit AI cloud, chip, connectivity and power suppliers. Elon Musk says that value will rise over time. Nebius has Microsoft and Meta deals; Marvell benefits from custom silicon demand; Credo connects GPUs; Vistra has long-term nuclear supply deals with Amazon and Meta; Nokia's Nvidia partnership could help it capture data-center networking growth. x.com x.com
AI infrastructure bottlenecks could give eight stocks as much as 18x upside. Nvidia supplies frontier-model GPUs; Broadcom and Marvell supply custom silicon and networking; TSMC makes advanced chips; Micron supplies sold-out HBM; Vertiv provides power and cooling; Palantir monetizes enterprise AI; Alphabet spans TPUs, research, cloud and apps. The list tracks where AI infrastructure spending is flowing. x.com x.com
Marvell's strong quarter was already priced in, so a sell-the-news decline is likelier. Q2 revenue rose 37% to $2.739B, data center revenue 46%, and Q3 guidance of $3.15B beat estimates; management sees custom silicon revenue more than doubling in FY28 and a path to about $18B of FY28 revenue. But the Google partnership and AI growth were largely traded ahead, and the stock never broke its rising channel's top. Long term, it is still a good company to add to at better prices before the midterms. … Show more
Marvell's end-to-end networking approach is well suited to heterogeneous GPU, CPU and ASIC compute and mixed optical/copper technologies. Its shift from AI loser to winner deserves a lot of credit: its old custom-ASIC focus had lost out to Broadcom and Alchip, but it is now back in ASICs as Google's TPU v10 partner. The stock's excellent run reflects how it is now perceived. x.com