NVIDIA says Q2 revenue hit $96 billion as it projects steep fiscal growth amid AI demand and supply limits

NVIDIA reported record quarterly results, posting second-quarter revenue of $96 billion, a level described as more than double the prior-year period. The announcement, carried in a market recap, also included an outlook that calls for continued rapid expansion into NVIDIA’s next fiscal year, with management pointing to strong demand for AI compute while acknowledging supply conditions that could affect deliveries.

The company’s guidance, as summarized in the report, targets roughly 70% revenue growth for fiscal 2028. That kind of forecast indicates NVIDIA expects its AI platform sales to keep scaling even as customers race to build out data centers for training and deploying artificial intelligence workloads.

Market coverage tied the upbeat picture to “strong AI demand,” but also cautioned that availability of key components and production capacity could constrain how quickly NVIDIA can meet orders. In past quarters, this balancing act between demand and supply has been a recurring theme for semiconductor companies serving enterprise AI, where system-level deployments depend on constrained upstream parts as well as advanced chip packaging and networking.

Beyond top-line growth, investors have increasingly focused on how NVIDIA’s product ecosystem continues to translate into revenue across its major end markets. While the market recap does not provide a granular breakdown in the information provided here, it positions NVIDIA’s data center exposure as the primary driver of the current results, reflecting the market’s continuing shift toward accelerated computing for AI workloads.

The reported record quarter also underscores how NVIDIA’s financial performance has become tightly coupled with enterprise and cloud spending on AI infrastructure. For customers, the purchase cycle often includes not just GPUs, but also the accompanying software stack and networking layers needed to scale training and inference, which can raise the total value of each deployment.

In sector context, NVIDIA’s update arrives amid ongoing competition among semiconductor and systems vendors, but the market’s response has remained anchored on whether NVIDIA can sustain leadership in AI accelerators and the surrounding platform. Supply constraints can matter disproportionately in such periods, because even a strong order book may not fully convert into near-term revenue if production capacity is limited.

Still, some key operational details are not disclosed in the limited market recap available for this write-up. For example, the report does not provide a segment-by-segment revenue split, gross margin commentary, or a clear explanation of which specific supply bottlenecks are most binding, nor does it quantify how those constraints might evolve over time.

What to watch next is whether NVIDIA’s ability to ship AI-focused products keeps pace with customer commitments, and whether future guidance maintains the implied growth trajectory for fiscal 2028. Investors will also look for any additional clarity on supply headwinds and how they could affect order conversion across the quarter-to-quarter cadence.