Nvidia tops Q2 forecasts with $96.2 billion revenue and points to continued AI demand

Nvidia reported revenue of $96.2 billion for the second quarter, beating analysts’ expectations and reinforcing the market’s view that demand for accelerated computing hardware remains robust. The company also guided for the next quarter’s revenue to reach $108 billion, a level described in the report as above Wall Street estimates. Nvidia’s results arrive as AI infrastructure spending continues to expand beyond early adopters into broader enterprise and cloud deployments.

A central driver was Nvidia’s data-centre segment, which generated $89 billion in revenue in the quarter, according to the report. That figure was up 117% year over year, underscoring the scale of investment in servers, networking, and the specialized GPUs used to train and run AI models. Nvidia’s overall sales growth, as characterized in the coverage, appears tightly linked to this data-centre momentum.

The report also highlighted how Nvidia’s AI narrative is shifting from experimentation to deployment. It described AI as having reached an “inflection point,” a phrase Nvidia has used to convey that the technology is moving from pilot projects to more routine, high-volume production use cases. While the report did not detail specific customer adoption or workload metrics, the company’s guidance suggests it expects the spending cycle to continue in the near term.

On the outlook, Nvidia’s next-quarter revenue guidance of $108 billion indicates continued expansion. Guidance is Nvidia’s forward-looking estimate of revenue for an upcoming quarter, and companies typically provide it during earnings to help investors calibrate expectations. In this case, the coverage framed the guidance as exceeding consensus estimates, which is consistent with the strength seen in the quarter’s totals.

The coverage further noted that the revenue comparison and guidance discussion was made “without counting sales to China.” That phrasing implies that export controls or other reporting conventions can affect how Nvidia’s demand is reflected in certain comparisons. The report did not provide additional detail on how China-related sales were treated, nor did it quantify what portion of revenue was excluded from the comparison.

Nvidia’s performance is closely watched because its GPUs and related systems sit at the core of the AI infrastructure stack. Investors and customers treat the company’s quarterly data as a proxy for the pace of spending by hyperscalers, cloud providers, and enterprise buyers on AI compute. A rapid rise in data-centre revenue typically indicates that supply chains are converting demand into shipments, and that customers are continuing to scale AI workloads.

Still, some specifics remain unclear from the account of the earnings update. The report did not break down margins, order backlog, or the exact mix of products included in the quarter’s results. It also did not specify whether the guidance assumes any changes to export restrictions, regional demand patterns, or customer pacing. Those omissions mean investors will likely look to Nvidia’s full earnings materials and supplemental disclosures for a more precise read on demand durability and revenue quality.