Nvidia Posts Record $96 Billion Quarter as Huang Declares "Compute Is Revenue"
Nvidia reported record second-quarter revenue of $96.2 billion, up 106% from a year ago, comfortably beating Wall Street's $92.07 billion consensus estimate, with shares jumping 7.63% in after-hours trading, according to the company's own earnings release. Adjusted earnings of $2.22 per share topped the $2.09 consensus, extending Nvidia's streak to five consecutive quarters of beating analyst expectations.
The Numbers Behind the Headline Beat
Data center revenue, Nvidia's overwhelming growth engine, reached $89.0 billion, up 117% year over year and now accounting for roughly 93% of the company's total sales, according to 24/7 Wall St's reporting on the results. Gross margins held at 75.0% on a non-GAAP basis, improving from 72.5% a year earlier, reflecting favorable product mix as the company's newest Blackwell Ultra chips scaled into volume production.
Nvidia's Q2 FY2027 Results at a Glance
Metric | Result | vs. Consensus |
|---|---|---|
Total revenue | $96.2 billion | Beat $92.07B by 4.5% |
Data center revenue | $89.0 billion | Up 117% YoY |
Adjusted EPS | $2.22 | Beat $2.09 consensus |
Non-GAAP gross margin | 75.0% | Up from 72.5% a year ago |
Q3 revenue guidance | $108.0 billion (±2%) | Excludes China data center revenue |
Shareholder returns this quarter | ~$26 billion | Buybacks and dividends |
Huang's Blunt Framing: The Debate Over AI Is Over
CEO Jensen Huang used the earnings release to make a pointed declaration about where the AI industry now stands. "AI has reached its inflection point. It's doing useful work. Its tokens are productive and profitable. Now, compute is revenue," Huang said, adding, "demand is accelerating. This time last year, one lab alone was driving the buildout; today, we have a golden age of new AI labs and startups, multiple frontier labs scaling in parallel, a thriving open-model ecosystem and physical AI coming online."
That framing lands directly on top of the demand-versus-bubble debate we've tracked closely all month, including the ECB's own warning that current AI valuations are likely due for a correction and Bill Gates' recent reversal on AI's economic impact. Huang's results give the "demand is real" side of that argument its strongest data point yet this earnings season.
Vera Rubin Enters Full Production, Backed by a Notable New AWS Deal
Nvidia announced its next-generation Vera Rubin platform is now ramping into full production, with racks already running at CoreWeave, Google Cloud, Microsoft Azure, Oracle Cloud Infrastructure, and Nebius. In a separate announcement tied to earnings, Amazon Web Services said it will buy 2 million additional Nvidia GPUs and deploy the company's new Vera CPU, some integrated with the forthcoming Rubin chip and some standalone, according to CNBC's live coverage of the earnings call, extending the same Vera CPU rollout we covered in our earlier reporting on SpaceXAI's adoption of Nvidia's first agent-focused chip.
A Genuinely Bullish Signal Buried in the Forward Guidance
Nvidia's forward-looking commentary reinforced the strength of the quarter. CFO Colette Kress said the company expects revenue to grow by approximately 70% in fiscal 2028, characterizing that outlook as supply-constrained rather than demand-constrained, according to Yahoo Finance's reporting on the earnings call. Nvidia guided third-quarter revenue to $108.0 billion, plus or minus 2%, notably excluding any Data Center compute revenue from China, where shipments of previously approved chips made up less than 1% of data center revenue during the quarter, reflecting continued uncertainty around U.S.-China chip export policy we've tracked closely this month, including Taiwan's indictment of Nvidia and Super Micro employees over alleged illegal chip exports to China.
Why This Matters for Business
Nvidia's results are worth understanding as a genuinely important data point for any business evaluating AI infrastructure spending or vendor stability, given the results directly counter recent market anxiety around whether AI capital expenditure is sustainable. Combined capital expenditure among the four largest hyperscalers, Microsoft, Alphabet, Amazon, and Meta, reached $166.0 billion in the same quarter, up 87% year over year, according to Rexshares' analysis of the earnings, with CFO Kress separately noting capex among the top five hyperscalers is expected to rise to $1.3 trillion next year from $800 billion in 2026.
For businesses evaluating AI vendor pricing and compute availability, this quarter's results, combined with Nvidia's supply-constrained guidance, suggest continued tight availability and pricing pressure for AI infrastructure well into next year, a dynamic worth factoring into any long-term procurement planning.
Frequently Asked Questions
How much revenue did Nvidia report in its latest quarter?
Nvidia reported $96.2 billion in revenue for its fiscal second quarter of 2027, up 106% from a year ago, beating Wall Street's $92.07 billion consensus estimate.
What is driving Nvidia's growth?
Data center revenue, driven by AI infrastructure demand, reached $89.0 billion, up 117% year over year and now representing roughly 93% of Nvidia's total revenue, as the company's Blackwell Ultra chips and new Vera Rubin platform scale into production.
What did Nvidia guide for its next quarter?
Nvidia guided third-quarter revenue to $108.0 billion, plus or minus 2%, explicitly excluding any data center compute revenue from China, while CFO Colette Kress said fiscal 2028 revenue growth of roughly 70% would be supply-constrained rather than demand-constrained.
The Fast Version
Nvidia reported record second-quarter revenue of $96.2 billion, up 106% year over year, with data center revenue reaching $89.0 billion, up 117%, comfortably beating Wall Street estimates and sending shares up 7.63%. CEO Jensen Huang declared that "compute is revenue" as AI demand broadens beyond a single dominant lab toward multiple frontier labs, open-source models, and physical AI applications. The company guided third-quarter revenue to $108 billion and said fiscal 2028 growth of roughly 70% would be limited by supply constraints rather than weakening demand, a result that directly counters recent market anxiety over whether AI infrastructure spending is sustainable.
