3 Stocks Powering the AI Boom That Are Not Named Nvidia
Every investor knows Nvidia won the chip race, but the physical layers that actually keep AI data centers alive belong to a different set of companies, and three of them are quietly outpacing the trade everyone is already crowded into.
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NVIDIA dominates the AI conversation, but the actual buildout runs on three physical layers most investors underweight: GPU cloud capacity, high-speed AI networking fabrics, and the electrical power and thermal systems that keep hyperscale sites running. Each layer is capacity-constrained, and each has a public-market leader riding the same demand curve that lifted NVIDIA. These are higher-growth, higher-volatility names than the mega-cap chip trade, so size positions accordingly. Below, three cross-layer AI stocks, ranked by risk-adjusted execution, counted down to the top pick.
No. 3: CoreWeave, the GPU Cloud Layer
CoreWeave (NASDAQ:CRWV) rents NVIDIA GPU clusters by the hour and by multi-year contract to AI labs, hyperscalers, and enterprises that either cannot get chips or do not want to operate them. Customers include Databricks, Grammarly, Isomorphic Labs, Hudson River Trading, and Runway ML, and CoreWeave was the first cloud to bring up NVIDIA’s Vera Rubin NVL72.
The numbers are eye-popping. Q2 2026 revenue hit $2.58 billion, up 112.3% year over year, with a revenue backlog around $104 billion and more than $25 billion in net new customer commitments added early in Q3. Active power expanded to 1.5 GW, with contracted power of roughly 3.7 GW. CEO Michael Intrator said “CoreWeave reached an important inflection point this quarter as our scale began to translate into expanding operating leverage.”
The bull case is scarcity: demand exceeds supply and July pricing was raised roughly 25% across SKUs. The risk is the balance sheet. CapEx ran $6.42 billion in the quarter, free cash flow was negative $5.74 billion, and debt/equity sits at 8.94. Interest expense alone was $640 million versus $267 million a year earlier. Shares closed at $94.94, down 5.27% over the past year despite the operational blowout. This is the highest-beta way to play AI infrastructure.
No. 2: Vertiv, the Power and Cooling Layer
Vertiv Holdings (NYSE:VRT | VRT Price Prediction) sells the switchgear, UPS systems, battery storage, chillers, and liquid-cooling loops that turn a shell of a building into an operating AI data center. Executive Chairman Dave Cote called it “the picks and shovels for the digital age.”
Q2 2026 revenue was $3.274 billion, up 24.1%, with adjusted operating margin expanding 410 basis points to 22.6% and free cash flow of $925.3 million, up 234%. Management raised full-year 2026 guidance to net sales of $13.80B to $14.20B and adjusted diluted EPS of $6.65 to $6.75, implying 58% to 61% growth. Vertiv was added to the S&P 500 in March 2026 and secured investment-grade ratings from Moody’s and S&P.
The bull case is architectural: as racks move to 800 volt DC and liquid cooling, Vertiv’s content per megawatt expands. The risk is project timing and supply-chain congestion on multi-phase deployments. Shares trade at $262.83, up 109.57% over one year, and gave back 9.63% in the last session. Forward PE sits near 31x.
No. 1: Arista Networks, the AI Networking Layer
Arista Networks (NYSE:ANET) builds the Ethernet switches and EOS software that stitch thousands of GPUs into a single training cluster. In plain terms: when an AI model trains, GPUs must exchange gradients constantly, and Arista’s fabrics decide whether those exchanges finish in microseconds or stall the whole job. Its EtherLink AI fabric footprint now exceeds 100 cumulative customers.
Q2 2026 delivered $3.036 billion in revenue, up 37.7%, the first $3 billion quarter in company history, with non-GAAP operating margin at 49.9% and a fifth consecutive EPS beat at $1.02 versus $0.89 consensus. The 2026 revenue outlook was raised to approximately $12.6 billion, or 40% growth, and AI fabrics revenue is targeted at at least $3.5 billion. CEO Jayshree Ullal said “Customers see networking as the central nervous system for infrastructure from the client to campus to data and AI centers.”
The risk profile is cleanest of the three: profitable, cash-generative, but exposed to customer concentration, with Microsoft and Meta as largest customers, plus rising component costs. Shares closed at $192.96, up 47.24% year to date and 35.95% over one year, at a forward PE near 37x.
Tying It Back to the Premise
NVIDIA remains a strong trade, and the AI buildout requires far more than chips, with each physical layer producing its own public-market winner. CoreWeave carries the highest growth and the heaviest leverage. Vertiv converts complexity into margin and cash. Arista sits at the top because it combines the cleanest financial profile, the strongest incremental margins, and a raised full-year outlook against a still-constrained supply backdrop. If AI networking spend follows compute spend, the central nervous system of the AI data center is the position with the most durable payoff. For readers who want to go wider than these three, we profiled seven more non-chip AI infrastructure names, spanning power, cooling, and networking, in a free report you can grab here.
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Joel South covers large-cap stocks, dividend investing, and major market trends, with a focus on earnings analysis, valuation, and turning complex data into actionable insights for investors.
He brings more than 15 years of experience as an investor and financial journalist, including 12 years at The Motley Fool, where he served as an investment analyst, Bureau Chief, and later led the Fool.com investing news desk. He has also co-hosted an investing podcast and appeared across TV and radio discussing market trends.
