▌Top Stocks · AI INFRASTRUCTURE·Updated May 23, 2026
AI Infrastructure Stocks to Own in 2026: 7 Names with Real Setup
These seven AI infrastructure stocks span chips, networking, servers, and power systems, with NVIDIA ranked as the strongest overall quality pick for May 2026.
Top Stocks · AI INFRASTRUCTUREUpdated May 23, 2026
AI infrastructure is one of the market’s clearest capital-spending stories because the buildout is no longer limited to a handful of accelerator chips. Training and inference workloads are pushing hyperscalers, enterprises, and sovereign buyers to expand entire data-center stacks at once, from compute to networking to power and cooling. That breadth matters for investors because the biggest winners can participate in recurring platform deployments rather than relying on a single product cycle. Recent company disclosures reinforce the scale of the opportunity, with NVIDIA reporting record data-center revenue of $39.1 billion in Q1 fiscal 2026 and multiple suppliers highlighting AI-driven demand.
The best way to think about the theme is by segment. One layer is accelerators and compute platforms, where the core silicon and software stack sit. Another is networking and interconnect, including Ethernet switching, optical connectivity, retimers, and PCIe components that move data between increasingly dense AI clusters. Then there is server and rack integration, where complete systems are assembled for deployment, and finally the power-delivery and thermal-management layer that keeps high-density racks operating. As hyperscaler spending shifts toward AI factories and even gigawatt-scale deployments, demand is being pulled through the full stack rather than concentrated in a single vendor.
This list ranks seven AI infrastructure stocks in countdown order from #7 to #1, using investment quality as the primary criterion. That means the companies near the top combine strong positioning in the AI buildout with better profitability, growth, execution, and overall business quality based on our composite metrics. Some names here are more expensive than others, and some are more cyclical, but each has a clear role in the infrastructure side of the AI capex cycle. The best pick appears last at #1.
For this screen, I focused on US-listed companies with market capitalizations above $500 million and direct exposure to AI infrastructure, then ranked the final list primarily by investment quality rather than pure upside or momentum. The ranking weighs business quality, profitability, growth, earnings execution, and analyst sentiment, while also considering how central each company is to the AI data-center stack. This is a countdown, so the list starts with the more speculative or narrower names and ends with the strongest overall pick. All figures below come from our primary-source financial data and composite metrics, and the list is designed for a monthly refresh.
What they do. The company provides high-speed connectivity solutions for optical and electrical Ethernet and PCIe applications, including active electrical cables, optical PAM4 DSPs, low-power PHY products, SerDes chiplets, PCIe retimers, and SerDes IP licensing. Its customer base includes hyperscalers, OEMs, ODMs, optical module makers, and enterprise and HPC buyers, which gives it exposure to both product sales and licensing or support revenue.
Why it fits. Credo sits in one of the most important but less glamorous parts of AI infrastructure: moving data reliably at very high speeds inside and between AI systems. As AI racks scale up, demand rises for Ethernet connectivity, retimers, and SerDes-based signal integrity solutions, and Credo’s portfolio is built directly around those bottlenecks. That makes it a focused way to invest in the networking and interconnect layer of the AI stack.
Numbers that matter. Credo’s recent growth has been explosive, with revenue up 201.5% year over year and earnings up 412.5%, while EPS over the last 12 months reached 1.81 and next-year EPS is estimated at 5.5158. Profitability is also unusually strong for a smaller semiconductor name, including a 67.8% gross margin, 36.76% operating margin, and 31.81% net margin, plus ROE of 27.54% and ROA of 14.68%. The trade-off is valuation: trailing P/E is 106.0214 and forward P/E is 37.3134, which helps explain why its composite quality grade is only a B despite strong operating metrics. Revenue over the last 12 months was $1.068 billion on EBITDA of $350.3 million.
Recent momentum. Credo beat EPS estimates in 6 of its last 8 reported quarters, including beats of 13.8% in March 2026, 34.0% in December 2025, and 44.4% in September 2025. Analyst sentiment is constructive but not unanimous, with 3 Buy ratings and 1 Hold, and the average target of $209.0856 sits below the latest close of $218.41. That combination of strong execution and already-elevated expectations is why Credo lands at the bottom of this quality-ranked list rather than higher.
What they do. The company designs, manufactures, and services critical digital infrastructure for data centers and communication networks. Its portfolio spans AC and DC power management, switchgear, busbar, racks, UPS systems, energy storage, and both air-cooled and liquid-cooled thermal management products, alongside lifecycle services, predictive analytics, and infrastructure software.
Why it fits. Vertiv is one of the clearest picks-and-shovels names in AI infrastructure because every high-density AI deployment needs power delivery and thermal management, not just chips. As AI racks become hotter and more power-intensive, liquid cooling, integrated modular solutions, rack power distribution, and related services become more mission-critical. That gives Vertiv exposure to the physical layer of AI data-center expansion rather than to semiconductor cycles alone.
Numbers that matter. Vertiv’s revenue grew 30.1% year over year and earnings grew 135.7%, with EPS at 3.98 over the last 12 months and next-year EPS estimated at 8.8434. Profitability is solid for an industrial infrastructure name, including a 37.2% gross margin, 16.36% operating margin, and 14.37% net margin, while ROE reached 45.10% and ROA 11.15%. The valuation is demanding, with trailing P/E of 79.3141 and forward P/E of 51.0204. Over the last 12 months, revenue was $10.843 billion and EBITDA was $2.383 billion.
Recent momentum. Vertiv has beaten EPS expectations in 6 of its last 7 completed quarters, including a 15.8% beat in April 2026 and a 25.3% beat in October 2025, though it did miss by 12.3% in February 2026. Analysts remain favorable overall, with 8 Buy ratings and 4 Holds, and the average target is $364.7308 versus a latest close of $327.46. The reason it ranks only sixth is less about the AI thesis and more about the combination of premium valuation and weaker debt-equity scoring in the quality framework.
What they do. The company develops and sells cloud and AI networking solutions, centered on its Extensible Operating System, or EOS, and a broad set of data-center, campus, routing, and software offerings. Arista sells through distributors, system integrators, resellers, OEM partners, and its direct sales force, while also generating support revenue from post-contract services such as technical support, hardware repair, patches, and upgrades.
Why it fits. AI clusters are only as useful as the network fabric connecting them, and Arista is a direct beneficiary of that reality. Its exposure to cloud and AI networking, switching, routing, and software makes it a core name in the networking and interconnect segment of the AI infrastructure stack. The company also benefits from recurring support and software attachment around installed systems, which can make growth more durable than one-time box shipments alone.
Numbers that matter. Arista combines growth with elite profitability. Revenue grew 35.1% year over year, earnings grew 25.0%, and EPS over the last 12 months was 2.91, with next-year EPS estimated at 4.4495. Margins are exceptional, including 63.5% gross margin, 42.74% operating margin, and 38.32% net margin, alongside ROE of 31.52% and ROA of 14.36%. Even so, the stock is not cheap at a trailing P/E of 51.0619 and forward P/E of 41.3223; revenue was $9.710 billion and EBITDA was $4.237 billion.
Recent momentum. Execution has been extremely consistent: Arista beat EPS estimates in 8 of its last 8 quarters, including 7.4% in May 2026, 8.7% in February 2026, and 12.3% in August 2025. Analyst sentiment is positive but measured, with 7 Buy ratings, 5 Holds, and 1 Sell, and an average target of $188.1992. That mix supports Arista’s place in the upper half of the list, though not at the very top because its valuation remains full and its quality grade is still a B rather than an A-range score.
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What they do. The company provides data-infrastructure semiconductors spanning the data-center core to the network edge. Its portfolio includes Ethernet controllers, adapters, transceivers, switches, custom ASICs, interconnect products, optical DSPs, silicon photonics, active electrical cable DSPs, PCIe retimers, storage connectivity products, and scale-up networking switches.
Why it fits. Marvell is one of the broadest semiconductor enablers of AI infrastructure because it touches custom silicon, optical interconnect, Ethernet, and PCIe connectivity. In a market where AI spending is broadening beyond GPUs, that kind of portfolio breadth matters. The company is especially relevant in the custom accelerator and networking layers, where hyperscalers increasingly want differentiated silicon and faster cluster interconnects.
Numbers that matter. Marvell’s revenue grew 22.1% year over year and earnings grew 106.3%, with EPS at 3.07 and next-year EPS estimated at 3.3913. Profitability is respectable, though not as strong as the very best semiconductor peers, with a 51.0% gross margin, 18.66% operating margin, and 32.58% net margin; ROE was 19.25% and ROA 3.94%. Valuation remains elevated at a trailing P/E of 62.114 and forward P/E of 48.5437. The business generated $8.195 billion in revenue and $2.629 billion in EBITDA over the last 12 months.
Recent momentum. Marvell has beaten EPS estimates in 6 of its last 7 completed quarters, including a 60.6% surprise in December 2025 and a smaller 1.3% beat in March 2026. Analyst sentiment is favorable, with 9 Buy ratings and 5 Holds, although the average target of $148.1766 is below the latest close of $196.33. That disconnect suggests the stock has already moved aggressively on AI expectations, which keeps it from ranking higher despite its strategic importance to the theme.
Market cap: $20.1B · Quality grade: B · Analyst consensus: Hold (avg target $37.13)
What they do. The company develops and sells server and storage systems built on modular, open-standard architectures. Its lineup includes liquid- and air-cooled AI servers for training and inference, blade and multi-node systems, rackmount platforms, networking devices, modular subsystems, and rack-level services that span design through deployment for AI and HPC data centers.
Why it fits. Super Micro is a direct way to invest in the server and rack-integration layer of AI infrastructure. As customers move from buying components to deploying full AI clusters, companies that can deliver complete liquid-cooled and air-cooled server platforms at rack scale become strategically important. That gives SMCI a real seat at the table in the AI buildout, even if its economics are structurally lower-margin than chip or software leaders.
Numbers that matter. Growth is the headline here: revenue rose 122.7% year over year and earnings rose 326.0%, with EPS at 1.9 and next-year EPS estimated at 3.22. But the margin profile is much thinner than most other names on this list, including gross margin of 8.4%, operating margin of 6.11%, and net margin of 3.70%, even though ROE still reached 17.88% and ROA 5.52%. The valuation is comparatively modest, with a trailing P/E of 17.6105 and forward P/E of 10.5263. Revenue over the last 12 months was $33.700 billion, with EBITDA of $1.579 billion.
Recent momentum.SMCI’s earnings record has been mixed, beating in 4 of the last 8 quarters. The recent trend is better, with a 58.1% EPS beat in May 2026 and a 41.0% beat in February 2026 after several misses in 2025. Analyst sentiment remains cautious, with 3 Buy ratings, 10 Holds, and 1 Sell, and the average target is $37.125 against a latest close of $35.58. That leaves Super Micro as a higher-operating-leverage AI infrastructure play, but not the cleanest quality story.
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This ranking started with US-listed companies above $500 million in market capitalization that have direct exposure to AI infrastructure through semiconductors, networking, servers, racks, power systems, cooling, or related platform software. From there, the list was narrowed using primary-source financial data and composite quality metrics, then ranked mainly by investment quality, with attention to profitability, growth, earnings consistency, valuation, and analyst sentiment. Because this article is refreshed monthly, the bold stat lines emphasize evergreen figures such as market cap, quality grade, and consensus view rather than day-to-day price action. The final order runs in countdown format, with the strongest overall pick placed at #1.
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