10 WAYS TO INVEST IN THE AI DATA CENTER BUILDOUT
Data center demand is expected to nearly quadruple to 194 GW by 2035 as AI scales across more users, more tokens per user and more compute per token.
Here are some of my favorite names positioned to benefit:
1. $TSM foundry manufacturing the accelerators, custom chips & networking silicon that nearly the entire AI buildout depends on.
2. $VRT liquid-cooling leader benefiting as rack density rises & AI systems require increasingly advanced thermal management.
3. $NVDA & $AMD accelerator duopoly at center of AI buildout with Nvidia's Vera Rubin entering full production & AMD’s Helios rack-scale systems emerging as a credible second source.
4. $MU & $SKHY memory engines of the AI era with HBM content scaling on every rack with data center margins above Nvidia's at segment level while suppliers themselves forecast shortage running into 2030.
5. $AVGO & $MRVL custom-silicon backbone, designing accelerators, networking chips & hyperscaler ASICs that capture more content across every AI rack.
6. $CRDO & $ALAB high-speed connectivity layer supplying the interconnect that lashes thousands of accelerators into one fabric
7. $OKLO & $SMR next-gen nuclear frontier with Oklo building the "local power plant" targeting microreactors beside data center campuses & NuScale developing larger modular reactors for utility-scale power.
8. $BE, $CEG & $VST provide power behind the AI buildout with Bloom delivering onsite fuel cells that bypass grid delays while Constellation & Vistra supply large-scale nuclear, gas & storage capacity to hyperscalers.
9. $LITE, $COHR & $AAOI optical layer benefiting from the transition from 800G to 1.6T with Lumentum & Coherent as components suppliers Nvidia took equity stakes in to secure next-generation optics capacity while AAOI is ramping U.S.-based 800G transceiver production for hyperscalers.
10. $ASML, $AMAT, $LRCX & $KLAC form equipment layer behind every new fab & packaging line with ASML’s EUV monopoly as ultimate chokepoint & Applied Materials, Lam & KLA supplying the deposition, etch & inspection tools required for every capacity expansion.
Kimi K3 is too large to run efficiently on a single accelerator so the workload must be distributed across many chips that exchange data at extremely high speeds.
$CRDO and $ALAB benefit from the high speed connectivity inside AI clusters while $MRVL and $AVGO provide the networking, optical and custom silicon infrastructure required to scale them.
Thats why inference constraints are bullish for the entire surrounding system including memory, networking, optics, switches, power, cooling and orchestration software.
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1. *5 dumbbell moves for a full chest.* 4 sets x 15 reps each. No bench needed.
2. *Home chest pump* 🔥 Save this and try it next workout
3. *No gym, no problem.* Just dumbbells + disciplin🔥🔥
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