The Tool Desk
Outbyte PC Repair FREEClear out junk files and repair common Windows errorsFree Scan →Outbyte Driver Updater FREEFix the driver behind crashes, sound loss and screen glitchesFind Drivers →iTechGuides is reader-supported. When you buy through links on our site, we may earn an affiliate commission. As an Amazon Associate I earn from qualifying purchases. Learn more
Micron and NVIDIA both benefit from AI data-center spending, but NVIDIA has the stronger direct exposure in the latest reported results. NVIDIA reported $89.0 billion of Data Center revenue in its second quarter of fiscal 2027, or about 92.5% of its $96.221 billion total revenue. Micron participates one layer below the finished system: it supplies high-bandwidth memory (HBM), server DRAM, high-capacity DIMMs and data-center SSDs. Its filings show powerful AI-related demand, but do not disclose an AI-only revenue share that can be compared directly with NVIDIA’s Data Center line.
That distinction answers the exposure question, not the investment-return question. The available filings do not establish which stock is cheaper, which will outperform, or how much of Micron’s revenue is specifically AI-driven. The periods also differ: NVIDIA’s quarter ended July 26, 2026, while Micron’s fiscal 2026 ended September 3, 2026.
At a glance
| Name | Best for | Key spec | Checked |
|---|---|---|---|
| NVIDIA | Most direct exposure to AI data-center systems and accelerated computing | $89.0 billion Data Center revenue; 117% year over year; about 92.5% of $96.221 billion total revenue in Q2 FY2027 | November 2026 |
| Micron | Component-level exposure to AI servers through memory and storage | FY2026 business-unit revenue growth of 219% (CMBU), 420% (CDBU), 209% (MCBU) and 234% (AEBU); not all AI-specific | November 2026 |
Prices checked November 2026.
Which stock has stronger exposure to the AI data-center boom?
NVIDIA has the stronger directly reported exposure. Its financial reporting includes a dedicated Data Center market-platform figure, and the company says its recent growth was driven by data-center products for accelerated computing and AI solutions. In the quarter ended July 26, 2026, that segment generated $89.0 billion, up 117% from the comparable period. Against total revenue of $96.221 billion, Data Center represented roughly 92.5%.
Quick wins for a faster PC:
Scan for outdated or missing drivers - takes under a minuteDriver Scan →Repair Windows errors before they cause bigger problemsFix Now →Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →Micron’s exposure is substantial but indirect in accounting terms. Its memory and storage products are inputs to AI servers and cloud infrastructure. Micron’s fiscal 2026 filing describes cloud-server demand for HBM, high-capacity DIMMs and low-power server DRAM, along with data-center SSD demand. However, Micron’s reported business units combine AI and non-AI applications, so their growth rates cannot be converted into a clean AI percentage.
Popular on Amazon
- 【90 Degree Full Function USB C Adapter】Supports the latest USB4 standard for up to 40Gbps of bandwidth, 8K video support, and up to 240W Fast charging; Support USB PD 3.1 Extended Power Range (EPR) including 140W, 180W and 240W. Your productivity is easily doubled. *Warm Tip: For the best fit, please make sure the USB-C port is fully exposed; thick or bulky cases may affect compatibility.
- 【Reliable Quality】Made from high-quality, scratch-resistant aluminum alloy, delicate metal frame. get excellent wear resistance and heat dissipation. Non-Slip Design for easier insertion and removal.
- 【Small and portable】Ultra thin size, ultra compact design, a petite physique that matches the minimalist design of your modern laptops. Coming with a slim figure that won't block the port next to the one it's plugged into.
- 【Compatibility】Widely work with most usb c, thunderbolt 4/3 devices. Compatibilit for ROG Ally, Steam Deck, Switch, MacBook Pro, Quest 3 VR headset, Surface Book 2, iPhone 18/17/16/15, Samsung Galaxy S23/S22/S21, Note 20/10, Google Pixel, ChromeBook, etc.
- 【Excellence Customer Support】If you experience any issues or cable failure, simply reach out to our dedicated customer service team. We provide a prompt response within 18 hours, providing you with the necessary technical support to resolve any concerns.
The practical ranking is therefore:
- NVIDIA: strongest direct exposure because AI and data-center products are reported in a distinct, very large revenue line.
- Micron: meaningful component exposure whose results depend on memory content per server, pricing, shipments, production capacity and customer mix.
How this comparison was selected
The ranking uses the criteria that the filings can support: whether the company reports a dedicated data-center revenue category, how closely the products sit to AI-system spending, the disclosed growth and margin data, and the specific supply, deployment and customer risks. It does not use valuation, price targets, total returns or a forecast, because those data were not established in the available sources.
What do NVIDIA’s reported numbers say about AI exposure?
NVIDIA’s latest located quarterly filing provides unusually direct visibility into data-center demand. The company states in its Form 10-Q for the quarter ended July 26, 2026 that revenue growth in the quarter and first half of fiscal 2027 was driven by data-center products for accelerated computing and AI solutions. Its earnings release reports $89.0 billion in Data Center revenue, a 117% year-over-year increase, and $96.221 billion in total revenue.
Those figures make the revenue mix unusually concentrated around the theme being compared. The approximately 92.5% share is a calculation from the two reported figures, not a separate company metric. It means that, for this quarter, most of NVIDIA’s sales were in the company’s own Data Center category; it does not mean every dollar was an AI-only sale or that the mix will remain constant.
NVIDIA also reported a 75.0% GAAP gross margin for the quarter. Gross margin is not an AI-exposure measure by itself, but it helps explain why NVIDIA’s economics differ from a component supplier’s: the company sells complete accelerated-computing and AI data-center products rather than primarily supplying one class of memory or storage input.
The company’s product transition is also relevant. NVIDIA said Blackwell accounted for most system shipments in the quarter. That statement indicates that product ramps can move reported results quickly, while also making execution, supply availability and customer deployment timing important to the outlook.
What does NVIDIA expect next?
NVIDIA’s Q3 fiscal 2027 revenue outlook was $108.0 billion, plus or minus 2%. The company explicitly said this outlook assumed no Data Center compute revenue from China. That assumption is a reminder that the headline forecast is conditional: export policy, regional availability and the timing of customer deployments can change the amount and location of demand that becomes revenue.
The outlook should not be read as a guarantee that the 117% Data Center growth rate will continue. It is management’s stated expectation for one future quarter, while the filing also identifies constraints involving supply, infrastructure and large customers.
PC Slower Than It Used to Be?
A free scan shows the junk files, broken settings and background clutter dragging Windows down - then fixes them in one click.Free scan · Windows 10 & 11Crashes, No Sound, or Screen Glitches?
Random freezes, missing sound and display glitches usually trace back to one bad driver. Find and replace yours safely.Free scan · under a minuteHow is Micron’s AI exposure different from NVIDIA’s?
Micron sells the memory and storage capacity that AI servers need, rather than reporting a directly comparable AI-system revenue line. Its fiscal 2026 Form 10-K describes AI-driven growth in cloud-server markets and a shift of DRAM supply toward data-center and hyperscale-cloud customers.
The products named in the filing map to several parts of an AI infrastructure build-out:
Also popular on Amazon
- 5-in-1 Connectivity: Equipped with a 4K HDMI port, a 5 Gbps USB-C data port, two 5 Gbps USB-A ports, and a USB C 100W PD-IN port. Note: The USB C 100W PD-IN port supports only charging and does not support data transfer devices such as headphones or speakers.
- Powerful Pass-Through Charging: Supports up to 85W pass-through charging so you can power up your laptop while you use the hub. Note: Pass-through charging requires a charger (not included). Note: To achieve full power for iPad, we recommend using a 45W wall charger.
- Transfer Files in Seconds: Move files to and from your laptop at speeds of up to 5 Gbps via the USB-C and USB-A data ports. Note: The USB C 5Gbps Data port does not support video output.
- HD Display: Connect to the HDMI port to stream or mirror content to an external monitor in resolutions of up to 4K@30Hz. Note: The USB-C ports do not support video output.
- What You Get: Anker 332 USB-C Hub (5-in-1), welcome guide, our worry-free 18-month warranty, and friendly customer service.
- HBM: high-bandwidth memory used where accelerated computing systems require very high memory bandwidth.
- High-capacity DIMMs: server memory modules that increase system memory capacity.
- Low-power server DRAM: memory intended to meet server capacity and power requirements.
- Data-center SSDs: solid-state storage used for data and software workloads in cloud and enterprise infrastructure.
These products can gain from AI server growth even when Micron is not selling the finished accelerator system. The trade-off is measurement: Micron’s business units serve multiple end markets, so the filing does not provide a single AI-only revenue number equivalent to NVIDIA’s Data Center category.
What do Micron’s fiscal 2026 growth rates mean?
Micron reported the following year-over-year business-unit revenue changes in fiscal 2026:
Do these 3 things before closing this tab:
1Clear out junk files and repair common Windows errors2Fix the driver behind crashes, sound loss and screen glitches3Repair Windows errors before they cause bigger problems| Micron business unit | FY2026 change versus FY2025 | How to interpret it |
|---|---|---|
| CMBU | Up 219% | The filing ties this unit’s increase to average selling prices and shipments, including cloud-server demand for HBM, high-capacity DIMMs and low-power server DRAM. |
| CDBU | Up 420% | A large business-unit increase, but not an AI-only measure. |
| MCBU | Up 209% | Reflects the unit’s reported change, with pricing and bit shipments important to the result. |
| AEBU | Up 234% | Reported fiscal-year growth; the filing does not identify the entire increase as AI revenue. |
The correct conclusion is that Micron experienced very strong business-unit growth while AI-related cloud-server demand was an important driver, especially for CMBU. It is not correct to label each percentage as pure AI growth. The filing attributes changes primarily to average selling prices and bit shipments and discusses supply being shifted toward higher-value markets.
Micron’s CEO Sanjay Mehrotra said in the fiscal 2026 results release, “Micron delivered record fiscal 2026 results, and we expect an even stronger fiscal 2027.” That is management’s outlook, not an independent forecast and not evidence that every AI-related product will grow at the same rate.
What is the difference between direct and component-level exposure?
Direct exposure means a company reports revenue from the data-center systems and solutions being purchased for accelerated computing and AI workloads. Component-level exposure means the company sells an input whose demand rises when those systems are built. NVIDIA is primarily the first case in its reported mix; Micron is primarily the second.
| Comparison axis | NVIDIA | Micron |
|---|---|---|
| Reported revenue lens | Dedicated Data Center market-platform revenue of $89.0 billion in Q2 FY2027 | Business-unit reporting; no directly comparable AI-only share |
| Role in infrastructure | Accelerated-computing and AI data-center products; Blackwell represented most system shipments in the reported quarter | HBM, server DRAM, high-capacity DIMMs and data-center SSDs |
| Latest disclosed growth | Data Center revenue up 117% year over year in Q2 FY2027 | FY2026 unit growth ranged from 209% to 420%, but those rates include non-AI demand and pricing effects |
| Period covered | Quarter ended July 26, 2026 | Fiscal year ended September 3, 2026 |
| Key economic sensitivity | System demand, product ramps, supply, infrastructure and customer concentration | Average selling prices, bit shipments, production capacity and product mix |
This distinction matters because a component supplier can benefit from an industry expansion without capturing the same dollar amount or margin as the system company. Conversely, memory content per server can rise as systems become more capable, giving a supplier leverage even when its accounting category is broader than AI.
Recommended Free Tools
How do the reporting periods affect the comparison?
The figures are not a synchronized quarter-to-quarter comparison. NVIDIA’s numbers come from Q2 fiscal 2027, ended July 26, 2026. Micron’s cited results come from fiscal 2026, ended September 3, 2026. Their fiscal calendars, segment definitions and product mixes differ.
That timing gap creates several traps. A strong NVIDIA quarter may reflect a product shipment pattern that Micron records in a different period. Micron’s annual percentages may include a full year of memory-price changes, while NVIDIA’s 117% figure describes one quarter against its prior-year comparison. Neither company’s reported number should be treated as a like-for-like market-share statistic.
For an updated investment decision, the comparison should be refreshed when both companies have reported comparable new periods. Check whether NVIDIA’s Data Center growth, Blackwell shipment mix and China assumptions changed, and whether Micron’s HBM, server-DRAM and storage demand translated into higher volumes, prices and margins.
Also popular on Amazon
- Sleek 7-in-1 USB-C Hub: Features an HDMI port, two USB-A 3.0 ports, and a USB-C data port, each providing 5Gbps transfer speeds. It also includes a USB-C PD input port for charging up to 100W and dual SD and TF card slots, all in a compact design.
- Flawless 4K@60Hz Video with HDMI: Delivers exceptional clarity and smoothness with its 4K@60Hz HDMI port, making it ideal for high-definition presentations and entertainment. (Note: Only the HDMI port supports video projection; the USB-C port is for data transfer only.)
- Double Up on Efficiency: The two USB-A 3.0 ports and a USB-C port support a fast 5Gbps data rate, significantly boosting your transfer speeds and improving productivity.
- Fast and Reliable 85W Charging: Offers high-capacity, speedy charging for laptops up to 85W, so you spend less time tethered to an outlet and more time being productive.
- What You Get: Anker USB-C Hub (7-in-1), welcome guide, 18-month warranty, and our friendly customer service.
Which company is more exposed to memory pricing and cyclicality?
Micron has the more obvious direct sensitivity to memory-market pricing and production cycles. Its filing connects business-unit performance to average selling prices and bit shipments and describes supply being allocated toward higher-value markets. A favorable AI mix can lift prices and shipments, but a change in supply, demand or product mix can work in the opposite direction.
NVIDIA also faces supply and execution risk, but its reported exposure is tied more directly to system demand, product ramps and customers’ ability to deploy complete data-center solutions. The 75.0% GAAP gross margin reported for Q2 FY2027 is a snapshot of that quarter’s mix and costs, not a promise that future margins will remain at that level.
For readers seeking the clearest expression of AI infrastructure spending, NVIDIA’s dedicated Data Center line is easier to follow. For readers seeking a way to participate in the memory content and storage requirements of those systems, Micron offers a different, more cyclical exposure. The two are complementary economic positions, not interchangeable reporting categories.
What could delay or reduce NVIDIA’s data-center revenue?
NVIDIA’s filings identify constraints beyond end-customer interest. The availability of land, power, data-center space and capital can affect when customers deploy systems and when revenue is recognized. Supply constraints can limit shipments even when demand is strong, while concentration among large customers means a change in one customer’s plans can have an outsized effect.
The Q3 fiscal 2027 outlook’s assumption of no Data Center compute revenue from China adds a policy and geography risk. Export controls, regional restrictions or changes in customer access can alter the addressable market. The company’s latest growth rate therefore should be treated as evidence of current momentum, not as a dependable long-term growth rate.
What could weaken Micron’s AI-related growth?
Micron’s exposure can be weakened by a memory downturn even if AI adoption continues. Average selling prices can fall, bit shipments can vary, and production capacity can be mistimed relative to demand. A shift in the mix toward or away from higher-value products can materially change revenue and profitability.
Its business-unit growth figures also include markets and products that are not exclusively AI. Cloud-server demand for HBM and server DRAM is important, but the filing does not quantify the AI-only portion. Investors should therefore avoid multiplying a business-unit percentage by an assumed AI share or presenting the 420% CDBU increase as a forecast.
Supply allocation is another variable. Micron says it shifted DRAM supply toward data-center and hyperscale-cloud markets. That can improve exposure to high-value demand, but it also increases dependence on a narrower set of customers and applications if those markets slow.
Is Micron an AI data-center stock?
Micron can reasonably be described as an AI data-center beneficiary, but not as a pure-play AI data-center company on the evidence provided. Its HBM, server DRAM, DIMMs and SSDs are essential inputs to data-center infrastructure, and its filing explicitly links growth to AI-led cloud-server demand. The company’s reported segments, however, cover broader markets and do not isolate AI revenue.
Also popular on Amazon
- Portable and powerful USB-C HUB: BENFEI USB Type-C HUB, with super-soft and knot-free silicone woven design cable, meets most mobile office needs. Compact, lightweight, stylish, and powerful portable USB C Hub equipped with 1 x HDMI port, 1 x 100W charging, and 3 x USB ports. 18-month warranty, 24-hour response, to ensure you feel at ease when using our product.
- Design centered on comfort and reliability: Thanks to BENFEI's end-to-end in-house cable production capability, in-house PCBA and assembly capability, using the industry's most advanced silicone woven design and process, 20cm cable in length, no knots, super-soft, the HUB is easy to use in all scenarios: laptop, tablet, stand etc. Super-soft, 25000+ life cycles, to meet your daily carrying and office needs.
- 100W Charging: Support up to 90W USB C pass-through charging via Type-C port to keep your laptop powered. 10W is reserved for other interface operations. No data and video function on the Type-C port.
- 4K HDMI Display: The HDMI port supports media display at resolutions up to 4K 30Hz, keeping every incredible moment detailed and ultra vivid. Please note that the C port of the Host device needs to support video output.
- Transfer Files in Seconds: Transfer files and from your laptop at speeds up to 10 Gbps with USB A 3.2 port. Extra 2 USB A 2.0 ports are perfectly for your keyboards and mouse.
That wording is more precise than calling Micron’s entire business AI revenue. It also explains why Micron’s stock may respond differently from NVIDIA’s to the same industry news: memory pricing, inventory, capacity and mix can amplify or dampen the underlying server-build trend.
Does stronger AI exposure mean NVIDIA is the better stock?
No. Stronger thematic exposure is not the same as superior expected return. The available evidence does not provide current share prices, valuation multiples, consensus estimates, comparative total returns or price targets, so it cannot determine which stock is cheaper or likely to outperform.
NVIDIA’s direct exposure can produce powerful operating leverage when customers accelerate deployments, but it also concentrates the company’s results in the data-center cycle and in a relatively small number of large customers. Micron’s component exposure may benefit from rising memory content and favorable pricing, yet it carries greater sensitivity to memory-market cycles and capacity decisions.
A valuation decision requires additional, current work: compare each company’s price with updated earnings and cash-flow expectations, examine the latest guidance, and assess whether the market has already priced in the reported growth. None of those conclusions follows from the exposure comparison alone.
What’s actually slowing this PC down?
Pick the symptom - the matching free tool is one click away.
How should an investor use this comparison?
Start with the exposure you actually want, then test whether the valuation and risks are acceptable.
- Choose direct system exposure: NVIDIA is the clearer match if the objective is a company whose reported revenue is dominated by data-center accelerated computing and AI solutions.
- Choose component exposure: Micron is the closer match if the objective is participation in HBM, server memory and data-center storage demand, with the additional influence of memory pricing and capacity.
- Separate evidence from assumptions: Treat NVIDIA’s 92.5% calculated share and 117% growth as historical reported results, not a forecast. Treat Micron’s 209% to 420% unit increases as broad business-unit growth, not AI-only growth.
- Check deployment constraints: Review power, land, data-center space, capital availability, supply and customer concentration for NVIDIA; review pricing, bit shipments, capacity and product mix for Micron.
- Refresh before acting: Because the periods are not aligned and product ramps change quickly, use the newest filings and guidance from both companies before making a purchase or position-size decision.
What is the bottom line on Micron versus NVIDIA?
NVIDIA has the stronger direct, currently reported exposure to the AI data-center boom: its Data Center category produced $89.0 billion, or about 92.5% of total revenue, in Q2 fiscal 2027. Micron is an important indirect beneficiary through HBM, server DRAM, high-capacity memory and data-center SSDs, with substantial fiscal 2026 business-unit growth but no comparable AI-only revenue disclosure.
The choice between them is therefore a choice between system-level exposure and memory-and-storage exposure. It is not a valuation verdict, a return forecast or proof that one stock will outperform the other.
Frequently asked questions
How much of Micron’s revenue comes specifically from AI?
The cited fiscal 2026 filing does not disclose a single AI-only revenue percentage. It identifies AI-led cloud-server demand as a driver for products such as HBM and server DRAM, while the reported business units include broader end markets.
Why is NVIDIA’s Data Center percentage calculated rather than quoted?
NVIDIA reported $89.0 billion in Data Center revenue and $96.221 billion in total revenue. Dividing the former by the latter gives approximately 92.5%; that percentage is a calculation from the company’s figures, not a separately reported metric.
Also popular on Amazon
- 【Read before You Buy】 Note: This adapter is USB 2.0 version and cannot transmit HDM, VGA, or other video signals. Nevertheless, they are fully capable of charging devices,duplicating files, and can be seamlessly integrated with USB-C earphones, wireless network adapters, and SD card adapters.
- 【Easy to Use and Safe】Thanks to modern manufacturing techniques, we've made these adapters sufficiently compact so that they can remain inserted in your device without noticeable protrusion or inconvenience. This means you don't have to constantly plug and unplug them, reducing the likelihood of wear and misalignment, and making them more convenient to carry around.
- 【Reliable Quality】Engineered for enhanced durability, durable aluminum alloy shell material,get excellent wear resistance and heat dissipation,the male USB C and female USB connectors & the male USB and female USB C connectors are designed to be plugged and unplugged up to 20000 times. Provides data transfer, device charging, memory space expansion, and additional computer peripherals.
- 【Think more for you】Do you need to connect a USB-C-enabled device to an odd device that only has USB-A ports? Then these USB-A male to USB-C female adapters are made for you.Simply insert the adapter into the USB-A port on the device, and you can instantly connect your USB-C device to the device that originally didn't have the correct connection port.
- 【Trusted xiwxi Quality and Service】As a responsible brand seller, you will receive xiwxi's 12-month Quality assurance and lifetime friendly customer service, you're not just buying a product,you're investing in peace of mind with all-round quality and exceptional customer service.
Are NVIDIA’s and Micron’s growth rates directly comparable?
No. NVIDIA’s 117% figure is year-over-year growth for one Data Center quarter, while Micron’s 209% to 420% figures are fiscal-year changes for business units with different product and market coverage. Their fiscal periods and revenue definitions are not aligned.
What does NVIDIA’s “no China Data Center compute revenue” assumption mean?
It means NVIDIA’s Q3 fiscal 2027 revenue outlook did not count Data Center compute revenue from China. The assumption highlights how export policy and regional access can affect the company’s realized sales even when global demand remains strong.
Could Micron benefit if AI server growth slows?
It could still sell memory and storage into non-AI servers and other markets, but the AI-related demand contribution would likely be less supportive. Because Micron’s results are also sensitive to prices, shipments, capacity and mix, a slowdown could affect it differently from a system supplier.
Free tools Windows power users keep installed
One-click scans. No signup required.
Frequently Asked Questions
How much of Micron’s revenue comes specifically from AI?
The cited fiscal 2026 filing does not disclose a single AI-only revenue percentage. It identifies AI-led cloud-server demand as a driver for products such as HBM and server DRAM, while the reported business units include broader end markets.
Why is NVIDIA’s Data Center percentage calculated rather than quoted?
NVIDIA reported $89.0 billion in Data Center revenue and $96.221 billion in total revenue. Dividing the former by the latter gives approximately 92.5%; that percentage is a calculation from the company’s figures, not a separately reported metric.
Are NVIDIA’s and Micron’s growth rates directly comparable?
No. NVIDIA’s 117% figure is year-over-year growth for one Data Center quarter, while Micron’s 209% to 420% figures are fiscal-year changes for business units with different product and market coverage. Their fiscal periods and revenue definitions are not aligned.
What does NVIDIA’s “no China Data Center compute revenue” assumption mean?
It means NVIDIA’s Q3 fiscal 2027 revenue outlook did not count Data Center compute revenue from China. The assumption highlights how export policy and regional access can affect the company’s realized sales even when global demand remains strong.
Free tools Windows power users keep installed
One-click scans. No signup required.
Could Micron benefit if AI server growth slows?
It could still sell memory and storage into non-AI servers and other markets, but the AI-related demand contribution would likely be less supportive. Because Micron’s results are also sensitive to prices, shipments, capacity and mix, a slowdown could affect it differently from a system supplier.
