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Nvidia bets on AI inference as chip revenue opportunity hits $1 trillion

Nvidia expects $1 trillion in AI chip demand through 2027, driven by inference needs and AI agents, doubling prior forecast of $500 billion, CEO Jensen Huang said.

  • On Monday, Nvidia CEO Jensen Huang predicted a $1 trillion backlog in orders next year during his GTC keynote in San Jose, California, driven by demand for Blackwell and Vera Rubin chips.
  • Shifting demand for inference chips is driving the AI market pivot, as Huang said these chips let trained models produce responses more efficiently than training processors.
  • Performance metrics show Rubin computing chip architecture, announced in 2024, outperforms Blackwell architecture and Nvidia reported about $500 billion in demand through 2026.
  • To meet demand, Nvidia plans to ramp production in the second half of the year and struck a multi‑billion licensing deal with Groq that included hiring its top engineers amid U.S. security and trade barriers constraining China sales and competition from Google and Meta Platforms.
  • Investors weigh the scale: Nvidia's revenue rose from $27 billion in 2022 to $216 billion last year, and the company briefly topped a $5 trillion market value last October.
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Nvidia CEO Jensen Huang presented new products at his developer conference – and announced that the Group's AI processors could generate a total of $1 trillion in sales by 2027.

·Düsseldorf, Germany
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sherwood.news broke the news in on Monday, March 16, 2026.
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