Nvidia delivered another sharp acceleration in its artificial intelligence business, reporting fiscal second-quarter 2027 revenue of $96.2 billion as global demand for AI infrastructure continued to expand.
Revenue for the quarter ended July 26 increased 18% from the previous quarter and 106% from a year earlier. The result also exceeded the approximately $92.2 billion expected by Visible Alpha analysts.
The company’s Data Center division remained the dominant growth engine, generating $89 billion in quarterly revenue. That represented an 18% increase from the prior quarter and a 117% year-over-year surge, beating the roughly $85.7 billion analyst estimate cited in the source.
Nvidia also issued a stronger-than-expected fiscal third-quarter outlook of $108 billion, plus or minus 2%, while explicitly assuming no Data Center compute revenue from China.
The combination of accelerating revenue, rapidly increasing procurement commitments and the start of Vera Rubin production shows how aggressively Nvidia is preparing for another phase of AI infrastructure expansion.
Data Center Now Represents the Core of Nvidia’s Growth
The $89 billion Data Center result accounts for the overwhelming majority of Nvidia’s quarterly revenue.
The segment’s 117% annual growth demonstrates how heavily the company’s financial performance is now tied to spending by cloud providers, AI labs and infrastructure operators.
This expansion has moved Nvidia far beyond its historical position as a graphics-chip supplier.
The company is increasingly functioning as a full AI infrastructure platform supplying accelerators, networking, systems and integrated computing architectures.
The magnitude of the Data Center result also means future Nvidia growth will depend heavily on whether large customers continue increasing capital expenditure at similar rates.
Earnings Also Beat Expectations
Non-GAAP diluted earnings reached $2.22 per share, above the approximately $2.09 expected by analysts.
GAAP diluted earnings were $2.46 per share.
GAAP net income more than doubled to $59.7 billion.
Both GAAP and non-GAAP gross margins were 75%, indicating that Nvidia continued converting massive revenue growth into strong profitability despite the increasingly complex supply chain required to meet demand.
That margin performance matters because investors have been closely watching whether higher memory, manufacturing and infrastructure costs would begin eroding profitability.
The Q3 Forecast Excludes China Data Center Compute Revenue
Nvidia expects fiscal third-quarter revenue of $108 billion, plus or minus 2%.
That outlook is above the roughly $104.2 billion consensus estimate cited before the results.
The more important detail is what the forecast excludes.
Nvidia assumes no Data Center compute revenue from China.
The company continues facing restrictions and uncertainty surrounding sales of advanced AI processors into the Chinese market.
If Nvidia can reach $108 billion without meaningful China Data Center compute revenue, it would demonstrate that demand elsewhere remains strong enough to offset the loss of one of the world’s largest technology markets.
Gross Margin Is Expected to Ease to 74%
Nvidia expects both GAAP and non-GAAP gross margins of approximately 74%, plus or minus 50 basis points, in the third quarter.
That is slightly below the 75% achieved in Q2.
The lower outlook initially contributed to volatility in Nvidia shares after the release.
Investors are increasingly sensitive not only to revenue growth but also to the cost of sustaining it.
As Nvidia commits more capital to memory, manufacturing capacity and next-generation products, preserving margins becomes a critical part of the investment case.
Management Sees Demand Growing Faster Than Supply
CFO Colette Kress said customer forecasts suggest Nvidia’s growth could effectively double next year.
However, management expects approximately 70% growth because available supply may not be sufficient to meet all indicated demand.
That distinction is important.
Customer forecasts are not binding revenue commitments.
They represent demand expectations rather than guaranteed sales.
Similarly, management’s 70% fiscal 2028 growth expectation is a forecast rather than a certainty.
Still, the gap between customer demand indications and Nvidia’s supply capability highlights the scale of the current AI infrastructure cycle.
Supply Commitments Jump to $279 Billion
Nvidia’s supply and capacity commitments increased dramatically during the quarter.
They rose from $119 billion in the previous quarter to $279 billion as of July 26.
The company’s 10-Q attributed most of the increase to memory and manufacturing capacity required for current and future products.
Of the total, approximately $92 billion is due during the remainder of fiscal 2027.
Another $87 billion is scheduled for fiscal 2028.
A further $88 billion falls in fiscal 2029.
These figures show that Nvidia is locking in substantial resources years ahead of expected demand.
The Commitments Are Large but Not Entirely Fixed
Some supplier agreements can still be canceled, rescheduled or modified before firm orders are placed.
That flexibility matters because demand forecasts can change.
Nvidia is therefore balancing two risks.
If it commits too little capacity, customers may face shortages and competitors may gain opportunities.
If it commits too aggressively, the company could eventually carry excess inventory or unused supply agreements if AI spending slows.
Managing that balance will become increasingly important as procurement commitments move into the hundreds of billions of dollars.
Total Future Commitments Reach $366 Billion
Nvidia disclosed total future commitments of approximately $366 billion across supply, cloud services, leases, equity investments and capital expenditure.
That includes another $29 billion in cloud service agreements.
It also includes $25 billion in Data Center leases that have not yet begun.
These figures show how Nvidia’s business model is becoming more capital-intensive even though the company does not directly operate like a traditional hyperscale cloud provider.
To support customer demand, it increasingly needs long-term access to manufacturing, memory, cloud capacity and physical infrastructure.
Vera Rubin Has Entered Full Production
Another major development is the transition of Vera Rubin into full production.
Nvidia said systems are already running at CoreWeave, Google Cloud, Microsoft Azure, Oracle Cloud Infrastructure and Nebius.
This marks an important stage in the company’s product roadmap.
Vera Rubin represents the next phase of Nvidia’s AI computing architecture and is expected to succeed the current generation of systems as customers continue scaling training and inference workloads.
Moving the platform into production means Nvidia is no longer discussing only future architecture.
The company is beginning commercial deployment.
Crypto Infrastructure Firms Are Joining the AI Buildout
The source also highlights how former Bitcoin-mining businesses are participating in the broader infrastructure expansion.
Nine publicly traded miners spent $5.11 billion on capital assets during the first half of 2026 while generating $341.2 million in AI and high-performance computing revenue.
IREN also signed a $3.4 billion Nvidia contract for managed GPU cloud services over five years.
These developments illustrate how AI demand is reshaping adjacent industries.
Companies with access to power, land and Data Center capacity are repositioning themselves to serve GPU-intensive workloads.
For Nvidia, that creates another customer category beyond traditional hyperscalers.
Nvidia Is Also Helping Organize Much Larger Infrastructure Funding
The company announced partnerships with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR aimed at mobilizing more than $500 billion for AI infrastructure.
The initiative remains subject to definitive agreements.
It should therefore not be treated as secured financing.
Still, the scale shows that Nvidia increasingly sees financing capacity as part of the AI infrastructure bottleneck.
The next phase of industry growth requires not only chips but also power, Data Centers, networking and enormous amounts of capital.
Shareholder Returns Remain Significant
Despite its aggressive infrastructure expansion, Nvidia continued returning cash to shareholders.
The company returned approximately $26 billion through share repurchases and dividends during Q2.
It also retained around $99 billion under its existing repurchase authorization.
This gives Nvidia substantial flexibility.
The company can simultaneously commit to future manufacturing capacity, expand product development and return large amounts of capital to investors.
That combination is unusual for a company still growing revenue at triple-digit rates.
The Next Challenge Is Execution
Nvidia has now demonstrated extraordinary demand.
The harder question is whether it can convert hundreds of billions of dollars in future supply commitments into delivered systems without damaging profitability.
Higher memory prices, manufacturing expenses and capacity investments could pressure margins.
At the same time, any inability to secure enough supply could prevent Nvidia from capturing all available demand.
The company therefore faces a very different challenge from several years ago.
Demand is not the main problem.
Execution and capacity are.
Conclusion
Nvidia’s fiscal second-quarter results show that the AI infrastructure cycle remains extremely powerful.
Revenue reached $96.2 billion, Data Center sales climbed to $89 billion and net income more than doubled to $59.7 billion.
The company is now guiding toward $108 billion next quarter even without assuming China Data Center compute revenue.
At the same time, supply and capacity commitments have surged to $279 billion as Vera Rubin enters production.
Final Takeaway
Nvidia’s next growth phase is no longer simply about selling more GPUs. The company is committing hundreds of billions of dollars to memory, manufacturing, cloud capacity and physical infrastructure because customer demand may exceed what it can supply. The central question for investors is whether Nvidia can preserve margins while converting this unprecedented demand into systems delivered at scale.
