NVIDIA CEO Projects $3 Trillion to $4 Trillion AI Infrastructure Market by 2030
NVIDIA CEO Jensen Huang forecasts that global spending on artificial intelligence infrastructure could reach between $3 trillion and $4 trillion by 2030, driven primarily by the rise of generative AI and the end of Moore's law. Speaking at a technology conference, Huang emphasized the need for extensive hardware-software co-design to continue delivering performance gains in computing systems beyond traditional graphics chips. Huang highlighted NVIDIA’s strategy to address infrastructure bottlenecks across multiple areas including chips, memory, packaging, power, and data centers. The company is also expanding its partnerships with regional cloud providers such as CoreWeave, Nebius, and Nscale to secure additional capacity outside of major cloud firms like Amazon or Microsoft. Beyond coding applications, Huang identified cybersecurity, drug discovery, autonomous vehicles, warehouse robots, and AI-enabled networks as key growth areas. NVIDIA’s platform supports both closed and open models from companies such as Google, Meta, Anthropic, OpenAI, and xAI.
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Topics: Artificial Intelligence Moore's Law NVIDIA Strategy Semiconductor Industry