NVDA Posts $81.6B Revenue Quarter With $91B Q2 Guide Excluding China

Nvidia's earnings report stripped away months of accumulated doubt about the sustainability of AI infrastructure spending. The company posted record quarterly revenue of $81.6 billion, driven by $75.2 billion in data-center revenue, and guided $91 billion for the next quarter. This is not a modest beat; it is a categorical refutation of the thesis that hyperscaler capex pledges would fail to convert into actual orders.

Three weeks prior, major hyperscalers had signaled significant AI capex increases. Microsoft, Alphabet, Meta, and Amazon all raised forward guidanceCompany-issued forecasts of future financial performance. on AI infrastructure deployment. Skeptics argued that Nvidia's books would not reflect this spending until quarters later, if at all, due to inventory dynamics and the risk of customers hoarding chips. Nvidia's guidance cuts through that noise by showing current quarter momentumThe empirical fact that winners keep winning over the medium term. already flowing from these commitments. The company flagged that its Q2 guidance excludes any contribution from China data-center compute entirely, making the $91 billion number even more striking.

For investors in semiconductor names, this signals that the AI buildout cycle remains in its early innings. Competitors such as AMD and Broadcom benefit from the broader demand tide, though Nvidia's margin structure and design win concentration remain unmatched. The guidanceCompany-issued forecasts of future financial performance. also pressures skeptics to revisit valuation models: at a 33x forward P/E, Nvidia has room to run if data-center growth continues at this pace, though execution risk remains if geopolitical or inventory corrections emerge.

The one debate point worth monitoring is Nvidia's exposure to China and the company's reliance on a handful of mega-cap customers for the majority of incremental volume. Any shift in regulation or customer concentration could alter the narrative, but for now, the earnings serve as proof that AI capex is flowing through real semiconductor demand, not just hype.