Nvidia delivered a record-shattering fiscal first quarter on May 20, posting revenue of $81.6 billion -- up 85% from a year ago and 20% sequentially -- as the AI infrastructure buildout showed no signs of slowing. Non-GAAP earnings per share came in at $1.87, beating the $1.76 Wall Street consensus by 6.25%. The results cemented Nvidia's position as the undisputed leader of the AI chip market and sent shares higher in after-hours trading.
The blowout quarter was powered by Nvidia's data center segment, which generated $75.2 billion in revenue -- a 92% increase from a year earlier. The Blackwell GPU architecture ramp exceeded internal expectations, and CEO Jensen Huang described enterprise AI workload demand as showing no signs of abating. Nvidia also announced an $80 billion share repurchase authorization and raised its quarterly dividend from $0.01 to $0.25 per share.
What happened
Nvidia's fiscal Q1 2027 results, reported on May 20, 2026, exceeded expectations across every major metric. Total revenue of $81.6 billion topped the $79.19 billion analyst consensus, while the $75.2 billion data center number represented a staggering 92% year-over-year increase. GAAP gross margin held steady at 74.9%, while non-GAAP gross margin was 75.0%, both well above investor fears of margin compression from the Blackwell transition.
The company's gaming segment contributed $3.8 billion, while automotive and robotics revenue grew 55% to $1.7 billion. Management guided second-quarter revenue to approximately $85 billion, well above the $82 billion consensus, signaling continued momentum. The $80 billion buyback authorization -- the largest in Nvidia's history -- underscored management's confidence in the durability of AI-driven demand.
Why it matters
Nvidia's results validate the thesis that the AI capital expenditure cycle has legs extending well beyond 2026. With Microsoft, Google, Amazon, and Meta all increasing their AI infrastructure budgets, the demand for GPU compute continues to outstrip supply. The 92% growth in data center revenue demonstrates that enterprise adoption of AI workloads is accelerating, not plateauing, and that Nvidia's Blackwell architecture is capturing the vast majority of incremental spending.
The results also have broader implications for the semiconductor supply chain. Taiwan Semiconductor Manufacturing Company (TSMC), which fabricates Nvidia's chips, stands to benefit from continued volume growth. Memory makers like SK Hynix and Micron, which supply high-bandwidth memory (HBM) for AI accelerators, are also seeing demand surge. The AI supply chain is now one of the most important drivers of global economic activity.