Nvidia forecasts first $100B quarter amid AI demand

Nvidia is on pace to become the first semiconductor company to post $100 billion in revenue in a single quarter. The milestone, expected in the company’s fiscal Q3 ending October 2026, caps a stretch of growth so aggressive it has essentially rewritten what investors thought was possible for a chipmaker.

Consensus estimates peg Q3 FY2027 revenue at roughly $104 billion. To put that in perspective, that’s more than Intel generated in its entire fiscal year 2023.

The numbers behind the trajectory

Nvidia’s most recent earnings, reported on May 20, 2026 for Q1 FY2027, showed revenue of $81.6 billion. That figure represents an 85% jump year-over-year and a 20% increase from the prior quarter.

Data center revenue came in at $75.2 billion. That’s a 92% increase compared to the same quarter last year, meaning data centers now account for more than 92% of total company revenue.

For Q2 FY2027, Nvidia guided revenue to approximately $91 billion, plus or minus 2%. That guidance excludes any sales tied to data centers in China, driven by recent export controls that have restricted the company’s ability to sell advanced AI chips to Chinese buyers.

Wall Street analysts are modeling closer to $92 billion for the quarter.

What’s driving the demand

Hyperscalers like Microsoft, Google, Amazon, and Meta continue to pour capital into data center buildouts, and Nvidia’s GPUs remain the hardware of choice for training and running large AI models.

CEO Jensen Huang has described the current wave of AI infrastructure investment as “the largest expansion in human history.” Nvidia has secured supply commitments totaling $145 billion, a figure that suggests customers are locking in capacity well in advance.

The Blackwell architecture, Nvidia’s latest generation of data center GPUs, is the primary demand driver. Nvidia anticipates nearly $20 billion in revenue from its new Vera CPU platform. The shift toward agentic AI systems that can autonomously plan, reason, and take actions is creating additional demand, as these systems require substantially more compute than traditional AI inference workloads.

Capital allocation signals confidence

Nvidia authorized an $80 billion share repurchase program and raised its quarterly dividend to $0.25 per share.

The competitive and geopolitical landscape

AMD continues to push its MI-series accelerators, and custom silicon efforts from Google (TPUs), Amazon (Trainium), and Microsoft are all aimed at reducing dependence on Nvidia hardware.

By excluding Chinese data center sales from its Q2 guidance, Nvidia is acknowledging that a meaningful revenue stream has been curtailed by policy. The $145 billion in supply commitments suggests that Nvidia’s production capacity, not demand, is the binding constraint on near-term revenue growth.

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