Marvell looks well positioned for scale-up compute domains, where interconnect is the wall that limits performance. Scale-up domains should be thought of differently from simply networking racks together, and Marvell's own commentary now focuses on exactly that opportunity. x.com  x.com 

Marvell's new six-channel chips could ease AI servers' memory constraint by letting them add capacity for bigger models and longer prompts. Samples are expected in Q1 2027. Its custom silicon and connectivity could capture more AI infrastructure spending, though competition and customer bargaining limit retained value. x.com 

A possible Lumentum deal could dilute Marvell's shares and add enough debt to cut forecast 2027-28 EPS by at least 20%. A 70% stock structure would require about 360M new shares and $32B in debt; a 50/50 structure, about 275M shares and $57B in debt. A higher multiple from today's 45x looks unlikely to offset the hit soon. The next year could be difficult, even if the deal proves very bullish from 2028 onward. x.com 

Penguin is in pole position to bring optical memory systems to customers because it was already developing a Photonic Memory Appliance with Celestial AI. Marvell is showing an HBM-and-DDR5 module that creates 33TB memory pools over optical links up to 50 meters, letting memory capacity scale independently of GPUs. x.com 

Marvell expects its revenue to grow tenfold in five years to $80B, driven by custom chips it builds for hyperscalers. Those companies design their own chips to reduce reliance on Nvidia and cut the long-term cost of off-the-shelf parts. The custom segment had no revenue two years ago and is expected to bring in $30B by 2031. x.com 

Marvell risks paying a peak-scarcity price for Lumentum if optical supply catches up by 2028-30. The proposed ~$99B deal values Lumentum at roughly 20x guided annualized revenue and 58x estimated after-tax operating income, while Lumentum, Coherent and Chinese suppliers are adding laser capacity. The DSP-and-laser combination has strategic logic, but durable scarcity economics and Nvidia's response remain uncertain. x.com 

Marvell has a long-term bull case if HBM proves the wrong fix for AI's I/O problem. Per @insane_analyst, the correct solution is optics driven by clock-forwarded SerDes, which can use LPDDR or DDR memory instead of HBM. x.com 

AI inference is hitting a memory limit, and CXL switching, which pools memory across servers, is where the value map changes. HBM is costly and limited per chip, and bigger models outgrow one server. Marvell is the bet on switching as the control point, via XConn and Structera S, now in production. Penguin Solutions makes CXL deployable in its KV cache server. Micron's CXL DRAM is a structural tailwind still tied to DRAM cycles, and Credo sits in the competitive transport layer. x.com  x.com  … Show more

Marvell's $1 trillion valuation, which Jensen Huang predicted, is a slogan rather than a valuation. At its FY2028 targets of $16.5B revenue and a high-30s operating margin, $1T means about 60x sales and 180x adjusted earnings; at 30x earnings it would need roughly $95B of revenue, essentially the entire $94B 2028 data center market Marvell estimates. GAAP net income was just $34.5M in Q1, and dilution adds pressure. Operating leverage from 45% growth is the bull case. 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