News · Data & AI Infrastructure
Nvidia Posts $96.2 Billion Quarter and Signals AI Compute Will Stay Scarce
Nvidia beat forecasts with $96.2 billion in revenue and guided to $108 billion next quarter. For enterprise buyers, the results point to tight GPU supply, rising component costs and a Rubin transition to plan around.
By The AI Enterprise Magazine Team4 min readNews · Weekly briefing
Key takeaways
- Another record. Revenue rose 106% year over year to $96.2 billion, with data center sales of $89.0 billion.
- Guidance beat estimates. Nvidia expects about $108 billion next quarter and, per its CFO, roughly 70% revenue growth in fiscal 2028.
- Supply stays tight. Huang said Nvidia has supply for about 70% of demand, so enterprises should not expect GPU capacity prices to ease soon.
- Govern compute spend. Chargeback, utilization targets and workload rules matter more as accelerator costs climb.
Week of August 24, 2026
Nvidia Beats Forecasts With $96.2 Billion and Guides to $108 Billion
Nvidia's fiscal second-quarter revenue rose 106% from a year earlier, and its outlook topped analyst estimates.
View the data
| Revenue | |
|---|---|
| Q2 analyst estimate | $92.3B |
| Q2 actual | $96.2B |
| Q3 guidance | $108B |
Nvidia reported revenue of $96.2 billion for its fiscal second quarter on August 26, up 106% from a year earlier, and guided to about $108 billion for the current quarter, according to the company's earnings release. Data center sales alone reached $89.0 billion. For CIOs and infrastructure leaders, the results are the clearest signal yet that AI compute will stay scarce, and priced accordingly, well into 2027.
What did Nvidia report for the quarter?
The quarter ended July 26. Revenue rose 18% from the prior quarter, and data center revenue grew 117% year over year, according to the release. Gross margin was 75.0%. Nvidia said it returned about $26 billion to shareholders through buybacks and dividends during the quarter.
The results beat Wall Street forecasts. Analysts had expected revenue of about $92.3 billion and adjusted earnings of $2.09 per share, according to FactSet figures cited by The Associated Press; Nvidia delivered $2.22. The $108 billion outlook for the third quarter, plus or minus 2%, also topped analyst estimates of roughly $104 billion to $105 billion, the AP reported.
The stock initially slipped after hours, then turned higher once Chief Financial Officer Colette Kress told analysts the company expects revenue to grow about 70% in fiscal 2028, Euronews reported. Analysts had been expecting closer to 45%. Kress said customer forecasts pointed to even faster growth, but that supply limits held the outlook back, according to the AP. Shares ended the after-hours session up roughly 4%.
Chief Executive Jensen Huang said in the release that "AI has reached its inflection point."
What is driving demand, and who is buying?
Nvidia said its Vera Rubin platform is in full production, with racks running at CoreWeave, Google Cloud, Microsoft Azure, Oracle Cloud Infrastructure and Nebius. Blackwell systems still account for most of the growth, according to Euronews, with Rubin shipments expected in the second half of the year.
The release also listed sovereign AI projects in Korea and Japan, and partnerships with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR to build compute financing platforms that aim to draw more than $500 billion in third-party capital. Those arrangements are still subject to definitive agreements.
Customer concentration remains a risk that investors watch. Most of Nvidia's revenue still comes from a handful of hyperscalers that are building their own chips, Euronews noted.
China is a smaller factor than it once was. Nvidia sold a small number of H200 chips to Chinese customers in the quarter, under 1% of data center revenue, Euronews reported, and the release says the outlook assumes no data center compute revenue from China.
What does a $108 billion quarter mean for enterprise AI budgets?
Most enterprises do not buy Nvidia systems directly. They rent GPU capacity from cloud providers or buy it packaged inside platforms. But Nvidia's numbers set the terms for everyone downstream.
First, supply will stay tight. Kress said demand keeps accelerating even at this scale, according to Euronews, and Huang told analysts that Nvidia currently has supply for about 70% of demand, the AP reported. Enterprises should not expect GPU prices or reserved-capacity terms to ease soon.
Second, the margin outlook points to rising component costs. Nvidia guided gross margin down to about 74% for the third quarter, and The Motley Fool Australia tied the decline to higher memory and component prices. Those costs tend to flow through cloud pricing.
Third, the Rubin transition creates a timing question for buyers. Teams signing multiyear capacity contracts now should ask cloud and colocation partners when Rubin-based instances will be available to them, and how pricing on Blackwell capacity will change as the newer systems arrive.
AI Connect event speakers have warned for years that unmonitored compute spending is where AI returns disappear. At COLLIDE 2024, Varun Tottempudi, head of data and platforms engineering for global analytics at Lockton, cautioned that without monitoring, auditing and alerts, "in six months you might see a bill" as large as the past five years' spending. His advice, covered in our piece on AI ROI across the project life cycle, applies even more now that the underlying hardware is this expensive.
How should enterprise leaders respond?
The practical response is to treat GPU capacity as a constrained resource that needs its own governance, not a line item buried in a cloud bill. That means chargeback by team or use case, utilization targets, and a clear rule for which workloads justify premium accelerators. In a AI Connect webinar on AI infrastructure at scale, a Rhino Federated Computing panelist described splitting CPU-heavy preprocessing from GPU inference as a first lever for cutting costs.
For organizations weighing private infrastructure, our explainer on what an AI factory is lays out the packaged, turnkey and custom options and the skills gaps that leave GPUs idle.
The next things to watch are Nvidia's 10-Q for customer concentration details, and the pricing that cloud providers attach to their first general-availability Rubin instances.
Frequently asked questions
How much revenue did Nvidia report for Q2 fiscal 2027?
Nvidia reported $96.2 billion for the quarter ended July 26, 2026, up 106% year over year, including $89.0 billion from data center.
What is Nvidia's outlook for the next quarter?
Nvidia guided to about $108 billion in revenue, plus or minus 2%, with gross margin of about 74%, and assumes no data center compute revenue from China.
What do Nvidia's results mean for enterprises?
They point to continued tight GPU supply and firm pricing, so enterprises should govern compute spending closely and plan capacity contracts around the shift to Vera Rubin systems.
Sources
- Nvidia (SEC Form 8-K): NVIDIA Announces Financial Results for Second Quarter Fiscal 2027
- The Associated Press (via News4JAX): Strong AI chip demand fuels Nvidia's Q2 results well beyond Wall Street's expectations
- Euronews: Nvidia peilt weiteres Rekordjahr an: Prognose von 70 Prozent Wachstum bis 2028
- The Motley Fool Australia: Nvidia shares jump after earnings report. Here's what has investors excited
Filed under: Data & AI Infrastructure, AI Strategy & ROI
