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Nvidia’s AI Chip Demand Drives Record Revenue and Expansion

Nvidia AI GPUs Data Centers Artificial Intelligence Tech Gaming
November 19, 2025
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Article Summary

Nvidia is experiencing unprecedented demand for its AI GPUs, selling more chips than ever before and significantly expanding its data center operations. In Q3 2026, the company reported a record $57 billion in revenue with $51.2 billion specifically from its data center business, a 66% increase year-over-year. This surge is largely attributed to the popularity of its Blackwell Ultra chip, now the leading architecture across all customer categories. Nvidia’s CEO, Jensen Huang, confirmed that the company is struggling to meet demand, stating sales are ‘off the charts.’ The company’s outlook for Q4 is even more ambitious, projecting $65 billion in revenue – a further $8 billion increase in just three months. This intense demand is being viewed as a key indicator of the broader ‘AI bubble,’ although Nvidia appears confident in sustaining this growth. Furthermore, gaming revenue is up 30% year-over-year, providing a positive signal for the company's Blackwell gaming chips.

Key Points

  • Nvidia’s Q3 2026 revenue reached a record $57 billion, driven by data center sales.
  • The company’s data center business grew by $10 billion in a single quarter, representing a 66% year-over-year increase.
  • Nvidia’s Blackwell Ultra chip is the primary driver of this demand, establishing itself as the leading architecture across all customer categories.

Why It Matters

This news is significant because it demonstrates the current scale of investment and excitement surrounding artificial intelligence. Nvidia’s performance provides a crucial barometer for the health of the entire AI market, indicating continued strong demand for specialized hardware. It also highlights the dominance of Nvidia in the AI chip space, raising questions about the future of competition and the broader technological landscape. For professionals, understanding this trend is vital for informed decision-making in areas such as investment, technology strategy, and market analysis.

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