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Nvidia has the stronger case for AI infrastructure scale and current reported momentum; Broadcom has the faster-growing AI semiconductor line from a smaller base and a broader software-and-custom-silicon thesis. That is an operating-business comparison, not a reliable prediction of which stock will earn more: the companies report different categories, and the available valuation snapshot is dated rather than synchronized to the latest results.
The comparison below uses Nvidia’s August 26, 2026 results and Broadcom’s September 2, 2026 results, the latest results covered here.
What do the latest results say about each AI bull case?
Nvidia’s Data Center segment is much larger in reported revenue, while Broadcom’s specifically identified AI semiconductor revenue grew faster year over year. These are not like-for-like measures: Nvidia’s Data Center segment includes more than AI accelerators, whereas Broadcom’s AI semiconductor figure covers a narrower category.
| Measure | Nvidia | Broadcom |
|---|---|---|
| Latest reported quarter | Q2 FY2027, announced August 26, 2026 | Q3 FY2026, announced September 2, 2026 |
| Company-wide revenue | $96.2 billion, up 106% year over year and 18% sequentially | $29.591 billion, up 86% year over year |
| Reported AI-related revenue measure | Data Center revenue of $89.0 billion, up 117% year over year; the segment is broader than AI accelerators alone | AI semiconductor revenue of $16.7 billion, up 221% year over year and 54% sequentially; driven, according to CEO Hock Tan, by custom AI accelerators and networking |
| Next-quarter outlook | Q3 FY2027 total revenue guidance of $108.0 billion, plus or minus 2%; the outlook assumes no Data Center compute revenue from China | Q4 FY2026 total revenue guidance of approximately $34.8 billion; AI semiconductor revenue guidance of $21.7 billion, up 236% year over year |
The growth-rate contrast favors Broadcom, but the scale contrast favors Nvidia. Neither comparison establishes market share: the companies define and report their AI-related revenue differently. Both outlooks are management guidance, not guaranteed results.
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Profitability figures need their own context
Nvidia reported Q2 FY2027 GAAP gross margin of 75.0% and GAAP diluted earnings per share of $2.46. Broadcom reported Q3 FY2026 free cash flow of $13.665 billion, GAAP operating income of $15.955 billion and non-GAAP operating income of $20.095 billion. Operating income and free cash flow are different measures, and Broadcom’s GAAP and non-GAAP figures should not be treated as interchangeable.
Why the companies’ AI exposure is different
Nvidia: a large data-center compute platform
Nvidia’s current results make the case for a company with substantial exposure to data-center infrastructure demand. Its reported Data Center segment provides the scale signal, but it is not a pure measure of AI accelerator sales. CEO Jensen Huang’s August 2026 results-release statement that “Now, compute is revenue” expresses management’s view of AI demand; it is a thesis, not independent proof that AI deployments are profitable across the economy.
Nvidia said its Vera Rubin platform was in full production and partner deployments were underway. The company also named DGX Spark among its products. These are company-reported product and roadmap updates, not independent evidence of future sales, deployment scale or availability.
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Broadcom: custom accelerators, networking and infrastructure software
Broadcom’s AI semiconductor growth is tied to custom AI accelerators and networking, while its company-wide business also includes infrastructure software. In Q3 FY2026, semiconductor solutions made up 70% of revenue and infrastructure software 30%. That means Broadcom’s bull case is not simply a bet on one AI chip category: software execution and the performance of the rest of its semiconductor business also matter.
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Broadcom CEO Hock Tan described demand for custom AI accelerators and networking as “very strong” in the September 2026 results release. The reported growth supports the claim that this business is expanding rapidly; the quotation remains management’s characterization of demand.
Does the valuation comparison favor one stock?
A Zacks comparison dated September 15, 2026 reported these forward price-to-earnings estimates:
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| Company | Forward P/E estimate reported by Zacks |
|---|---|
| Nvidia | 22.85 |
| Broadcom | 29.24 |
This is a dated secondary-source snapshot, not a current fair-value conclusion. Forward P/E depends on the share-price date, forecast period, analyst estimates and whether earnings are GAAP or adjusted; the available figures do not establish a synchronized comparison as of October 4, 2026. A lower quoted multiple alone does not show that a stock is cheaper relative to its likely growth or risk.
A more decision-useful comparison would use the same market close and earnings horizon for both companies, then examine enterprise value or market capitalization, cash generation, and how each valuation changes if AI spending slows. Operating momentum is not the same thing as expected shareholder return.
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Nvidia: export rules, supply and competition
Nvidia’s older FY2026 Q3 Form 10-Q identified uncertainty around U.S. export controls and access to China for advanced data-center products, as well as supply and trade-policy risks. In Q1 FY2026, Nvidia recorded a $4.5 billion charge related to H20 inventory and purchase obligations. That historical charge is evidence of exposure to changing restrictions, not a measure of current-quarter performance. The filing also warned that open-source models adopted on competing platforms could reduce demand for Nvidia products.
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Broadcom: customer timing, supply chain and VMware execution
Broadcom’s Q3 FY2026 release identifies customer concentration and order timing, reliance on outsourced manufacturing and suppliers, semiconductor cyclicality, and customer acceptance and demand for VMware virtualization products among its uncertainties. It also points to software competition, acquisition integration and significant indebtedness. The company cautions that actual results can differ materially from guidance.
The shared demand test
Both cases ultimately depend on customers continuing to invest in AI infrastructure and on the companies converting demand, product roadmaps and customer commitments into sustained revenue, earnings and cash flow. Because recent growth is unusually high and concentrated in AI-related results, weaker customer spending, supply constraints, product-transition problems or disappointing monetization could reset expectations. That is an analytical risk, not a company forecast.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How much does private-cloud AI support Broadcom’s case?
Broadcom’s June 2026 announcement of its Private Cloud Outlook 2026 said 56% of surveyed enterprises were running or planning to run production AI inference on private cloud, compared with 41% reporting public-cloud use for those workloads. The announcement also said 97% of surveyed IT leaders believed some public-cloud spending was wasted. These are figures from a Broadcom-published survey announcement; they should not be read as independently established market-wide adoption or spending statistics.
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The figures offer context for Broadcom’s private-cloud and infrastructure-software angle, but they do not quantify how much revenue Broadcom will capture from private AI deployments. The company’s own reported software revenue and execution remain more direct measures of its business.
So, whose AI bull case is better?
For operating scale and the size of the reported data-center business, Nvidia has the stronger case. For growth rate in the specifically reported AI semiconductor line, Broadcom has the stronger recent showing. Broadcom also offers exposure to infrastructure software and custom silicon/networking, while Nvidia’s latest reported Data Center scale is substantially greater. The figures alone cannot settle which stock is the better investment because they describe different businesses and do not provide a current, synchronized valuation comparison.
To assess either thesis, focus on whether demand converts into durable earnings and cash flow, whether the company can meet supply and product-transition demands, and whether the price already assumes continued exceptional growth. Neither management guidance nor recent growth rates settle those questions.
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