Nvidia did more than beat Wall Street’s expectations Wednesday. The chipmaker reported $96.22 billion in quarterly revenue—more than twice what it generated a year earlier—and told investors that demand for artificial-intelligence computing is still running ahead of supply.
The results, released August 26, offer a striking snapshot of how quickly the AI infrastructure boom is expanding. Nvidia’s chips have become central to the data centers that train and operate leading AI systems, making the company’s earnings a closely watched indicator for the wider technology industry.
The numbers behind Nvidia’s record quarter
For its fiscal second quarter, which ended July 26, Nvidia reported revenue of $96.22 billion, up 106% from a year earlier and 18% from the previous quarter. Net income reached $59.69 billion, compared with $26.42 billion in the same period last year, according to The Associated Press.
The company’s data-center business produced $89 billion in revenue, a 117% year-over-year increase. Nvidia reported earnings of $2.46 per diluted share under standard accounting rules and adjusted earnings of $2.22 per share. Both GAAP and adjusted gross margins were 75%.
In Nvidia’s official earnings release, founder and CEO Jensen Huang said, “AI has reached its inflection point. It’s doing useful work.” He argued that AI computing is increasingly producing measurable revenue for customers rather than remaining an experimental expense.
A $108 billion forecast raises the stakes
Nvidia projected approximately $108 billion in revenue for the current quarter, plus or minus 2%. That would represent another sharp increase as cloud providers, AI laboratories and other companies continue buying systems built around Nvidia processors.
The company also forecast revenue growth of roughly 70% for the fiscal year ending in January 2028, according to Reuters. Its next-generation Vera Rubin processors are entering production and are expected to become a significant part of data-center sales during the current quarter.
Demand is not coming from one customer alone. Major cloud companies, established AI developers and a growing number of startups are all building computing capacity at the same time. Nvidia also announced an expanded partnership with Amazon Web Services that includes plans for AWS to deploy two million additional Nvidia GPUs by 2028.
The boom still carries risks
The report was powerful, but it did not eliminate questions surrounding the AI investment cycle. Nvidia warned that higher memory and component costs could pressure profitability, with gross margins expected to fall into the 71% to 72% range later in the fiscal year before recovering.
Export restrictions also leave Nvidia’s China business uncertain. Reuters reported that China accounted for less than 1% of the company’s revenue during the quarter. Investors are additionally watching whether the huge sums being committed to AI data centers will ultimately produce enough revenue for Nvidia’s customers to justify the spending.
Those concerns initially produced a mixed reaction before Nvidia shares rose after the company’s earnings call. The response showed why this report matters beyond one stock: Nvidia’s results influence expectations for technology companies, data-center construction, electricity demand and the broader market.
What the results mean now
For the moment, the clearest takeaway is that the AI buildout has not slowed. Nvidia exceeded expectations, doubled its data-center revenue from a year ago and issued a forecast suggesting that the industry’s appetite for computing power remains enormous.
The next test will be execution. Nvidia must manufacture enough advanced systems, manage rising costs and prove that the demand can survive beyond the current wave of investment. But after a $96.2 billion quarter, the company has given investors fresh evidence that the AI infrastructure race is still accelerating.
