AI data-center spending should reach chips first, then racks, power and cooling, benefiting Nvidia, AMD, Vertiv, Bloom Energy, Credo, Marvell, Lumentum and Micron. BofA forecasts the global data-center market at about $1T in 2026, $2.1T in 2028 and nearly $3T by 2030, a 37% annual rise; roughly 80% of a new AI site's $57M per MW cost goes to servers, networking and storage. x.com 

AI data-center spending flows beyond GPUs and operators into networking, optics, power and cooling. Nvidia, AMD, Broadcom and Marvell supply chips; Arista, Nokia and Credo connectivity; Applied Optoelectronics and Lumentum optics; Vistra, Constellation and Bloom power; Vertiv and Modine cooling. Meta's $140B spending this year illustrates the scale, per a commenter with whom the point is agreed. x.com  x.com 

Astera Labs looks relatively expensive because similarly fast-growing AI infrastructure names trade at much lower multiples. Broadcom and Nvidia are at 14x, Credo at 15x and Lumentum at 18x; comparable peers look 50-80% cheaper. Astera is a great company and not necessarily expensive in absolute terms. Its roughly 2x multiple over Credo may persist, but the setup looks harder; with no valuation support, it could fall 50% if weakness continues. x.com  x.com  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 

Networking, power and compute look more durable than cyclical memory in the AI buildout. Lumentum's revenue compounded year after year across the 2010s and 2020s, unlike Micron's; AWS revenue also compounded. Lumentum, Nebius, Bloom Energy and Credo should heavily outperform SanDisk and Micron from here, though AI itself remains heavily doubted. x.com  x.com 

Astera Labs' CXL integration thesis faces a threat if Nvidia builds a CXL-attached memory architecture: Jensen would not use Astera for it. Such an architecture could make training and data sharing across nodes easier. Nvidia's Feynman might also get a better I/O die to avoid switch hops, as Google did with TPUs. x.com  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 

Enterprise and neocloud demand is creating a second wave of AI infrastructure spending, with tailwinds for Nvidia and Super Micro. Dell forecasts 200 GW of AI data center growth through 2030, half driven by these customers, and estimates a $1 trillion AI infrastructure opportunity over the next four years. AI servers could enter a new growth phase in 2027, with higher shipment volumes and more revenue per deployment. x.com 

Credo looks exposed as networking becomes AI's next bottleneck and Nvidia locks down optical fiber for scale-up, scale-out and scale-across links. MicroLED is readily available and a good contender for scale-up and potentially scale-out, with many Asian suppliers pivoting into it. x.com  x.com 

Meta's unmet AI demand pays its bottleneck suppliers. Super Micro's $19.5B quarterly outlook and under 8x forward earnings point to a double. CoreWeave's Meta deals total $35.2B; it should easily top $100. Builders say nearly all new sites use Dell or Super Micro; Dell could easily double. Micron's demand is off the charts at 5x forward earnings. Sources say Vertiv's gear is sold out for 2-3 years. VivoPower has 2GW+ potential in 5-7 years. Digi Power X has a $1.1B Cerebras deal. x.com  x.com  … Show more