NVIDIA vs Microsoft AI Earnings: What Huang and Nadella’s Claims Mean for Azure Capacity

Several figures in the original don't match the primary sources. This article corrects them and then asks which claims are easiest to verify.

First, a few corrections​

• Different quarters. NVIDIA's numbers cover its fiscal Q2 2027, which ended July 26, 2026. Microsoft's cover the quarter ended June 30. They are not contemporaneous results, so a side-by-side "just reported" comparison is looser than it looks.
• The 138% figure is not networking. The original attributes 138% growth to networking. On NVIDIA's call, that number belongs to the ACIE category (NeoCloud, industrial and enterprise customers, up 25% sequentially and 138% year over year to $40 billion). Networking is a separate line, and it grew 18% sequentially, with Spectrum-X Ethernet up 2.6 times year over year.
• The chip is Maia 200, not "Maya." Microsoft's January 26, 2026 announcement describes it as an inference accelerator with 30% better performance per dollar than the latest generation hardware in its fleet. That is Microsoft's own comparison against its own fleet, not an independent benchmark.
• The "supply covers about 70% of demand" line. I could not substantiate it. What NVIDIA's CFO said is that the roughly 70% fiscal 2028 growth outlook is "a supply-constrained outlook". The 70% in that sentence is growth, not a share of demand met.

Huang's side: real growth, financed demand​

The hard numbers are strong. NVIDIA reported revenue of $96.2 billion, up 106% year over year and 18% sequentially. Data Center revenue was $89 billion. Hyperscale customers contributed $49 billion, up 13% from the prior quarter, and ACIE supplied the other $40 billion.

The soft spot is how some of that demand gets financed. NVIDIA's CFO said the company has invested nearly $50 billion in frontier AI laboratories. NVIDIA has also introduced a structure for neocloud facilities. As described on the call, NVIDIA provides a take-or-pay commitment on part of a facility's capacity, a minimum revenue guarantee that gives lenders confidence, and shares in neocloud revenue earned above that floor.

The precise wording matters here:

• This is a revenue guarantee plus revenue-sharing, not a straightforward loan. Management emphasised that independent capital underwrites each deal.
• It does tie some of NVIDIA's future sales to arrangements NVIDIA itself backs. The CFO's own expectation was that lab demand supported by its balance sheet could be roughly a quarter of next year's business.
• Nothing in the evidence shows the arrangements are improper, or that all demand is circular. They do make the demand less independent than raw revenue growth suggests.

NVIDIA's days sales outstanding rose to 60. The company attributed that to longer payment terms extended to large investment-grade customers. The original claims it was 45 before, but I could not verify the prior-period comparison. Treat it as a metric to watch, not as proof of trouble.

Forward guidance is concrete and testable:

• Q3 revenue: $108 billion, plus or minus 2%, with no China Data Center compute revenue assumed.
• Q3 gross margin: about 74%.
• Q4 gross margin: possibly bottoming at 71%–72% as memory prices rise faster than expected.
• Vera Rubin: about 20% of Q3 Data Center revenue.

Nadella's side: smaller claims, easier checks​

Microsoft's claims are more granular. For the June quarter, Microsoft Cloud revenue was $59.3 billion, up 27%. Azure and other cloud services grew 43%, and Microsoft said demand continued to exceed available capacity. Microsoft guided to roughly 45% Azure growth in constant currency next quarter. It also warned that growth rates can swing with capacity timing and contract mix.

Other checkable figures from Microsoft's call:

• Copilot seats. Microsoft 365 Copilot passed 30 million paid seats, with net paid-seat adds more than doubling sequentially. Paid seats are not usage and not customer return on investment, so this is a sales metric, not an outcome metric.
• Backlog quality. Commercial remaining performance obligation (contracted future revenue) grew 84% to $678 billion. All sequential growth came from customers outside frontier-model companies, and RPO excluding OpenAI rose 25%. That 25% is the figure the original lists as a "weak spot." It is slower, but it is also the cleaner measure of backlog that does not depend on one customer.
• Customer mix. For the full year, cloud revenue topped $214 billion, nearly 90% of it from customers outside frontier model companies.
• Capex. Microsoft's calendar-2026 capex expectation is approximately $175 billion. That figure reflects a change in how some datacenter leases are classified, from finance leases to operating leases, which came with extending estimated datacenter and building useful lives from 15 to 25 years. Microsoft says underlying investment plans are unchanged. It is not a single quarter's spend.
• Earnings quality. The quarter included a $3.2 billion gain on Microsoft's Anthropic investment. It is an accounting benefit, separate from operating growth.

What this means for IT teams​

For admins and architects, the comparison turns into practical questions:

1. Capacity risk is shared. Microsoft says Azure demand exceeds capacity and NVIDIA says its outlook is supply-constrained. Plan GPU-dependent workloads with lead time and fallback regions or SKUs.
2. Inference economics may shift. Maia 200 is meant to serve models including OpenAI's GPT-5.2 family in Foundry and Microsoft 365 Copilot. Microsoft says the performance-per-dollar gain will reach customers through those services. Whether it shows up in your pricing is something to ask your account team.
3. Copilot ROI needs its own evidence. Seat counts show sales traction. Measure adoption and outcomes in your own tenant before extrapolating.
4. Memory costs are a hardware wildcard. NVIDIA's margin warning is tied to memory pricing. That is the same pressure that can raise server and PC component costs generally. This is analysis from general industry reasoning, not a figure from either company's call.

Whose promises are easier to verify?​

The original's author trusts Nadella's math slightly more. The primary sources support a narrower conclusion: the two CEOs make different types of claims.

• Huang's realized results are exceptional, but a meaningful share of forward demand relies on arrangements NVIDIA helps finance.
• Nadella's metrics are smaller and more checkable, but they carry their own caveats: paid seats are not usage, RPO is future contracted revenue, and free cash flow is under pressure from heavy build-out spending.

The next data points are the same ones the original names. Watch whether NVIDIA reaches $108 billion with Vera Rubin near 20% of Data Center revenue, and whether margins hold near guidance. Watch whether Azure approaches 45% growth and RPO excluding OpenAI keeps climbing. Those are management forecasts, not outcomes. I have not independently verified the stock-return and P/E comparisons in the original, so I have left them out.