Jensen Huang: There is no AI bubble! Every investment of resources is justified in a major shift in computing paradigms.

Jensen Huang asserts that the current AI boom is not a bubble but a justified structural shift in computing. He highlights the end of Moore's Law and the necessary migration from general-purpose computing to GPU-accelerated systems. This transformation is further driven by the integration of generative AI into recommendation systems, compelling enterprises to invest in large-scale GPU supercomputers and enabling the rise of agentic AI models.

Summary

In a recent speech, Jensen Huang emphasized that the growth of AI is not a bubble, but rather a structural transformation that computer science is undergoing.
With the end of Moore's Law, general-purpose computing can no longer meet computing power demands, and the world is accelerating its migration to GPU-dominated accelerated computing systems.
Meanwhile, Recsys, an internet engine-based recommendation system, is fully embracing generative AI and driving companies to build GPU supercomputers on a large scale.
Based on this, Agentic AI such as Grok, OpenAI, Anthropic, and Gemini were able to emerge.

He stated that understanding the underlying migration process would reveal that the current resource allocation is "entirely reasonable."

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Author: PA影音

This content is for informational purposes only and does not constitute investment advice.

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