After surpassing Amazon, NVIDIA's market value is just a step away from Alphabet-C. Huang Renxun promotes "National AI".

The concept of "National AI" is another important milestone in the field of artificial intelligence, according to NVIDIA CEO Jensen Huang and UAE Minister of Artificial Intelligence Omar Olama, who had an in-depth discussion at the World Government Summit in Dubai. Huang believes that each country should have autonomous control over its AI infrastructure in order to protect its cultural heritage and social norms. He emphasizes that this approach allows countries to have their own intelligent production, thereby protecting their historical culture, data security, national security, and economy.

Huang's discussion on National AI highlights several key points:

1) Cultural preservation: By controlling their AI infrastructure, countries can ensure that the AI systems they develop and use reflect their unique cultural values and social norms.

2) Data security: Having autonomous intelligent production means that countries have complete control over the data input into their AI systems. This is crucial for protecting citizen privacy, sensitive information, and preventing foreign entities from exploiting national data for their own interests.

3) National security: Controlling AI infrastructure can better protect against cyber threats, espionage activities, and other forms of digital warfare.

4) Economic independence: By developing and owning their own AI capabilities, countries can promote their own technological advancements, support local industries, and reduce dependence on foreign AI technologies.

5) Global diversity in AI development: When countries develop AI based on their own values and needs, it leads to the emergence of various AI models and applications, enriching the global pool of knowledge and technology.

Analysts believe that from a market potential perspective, the concept of "National AI" proposed by Huang is particularly important for NVIDIA. If every country is committed to building its own AI infrastructure, NVIDIA's AI acceleration hardware products will cover every country in the world.

Moreover, from the perspective of AI development stage, the technology industry may currently be in the early stage of the adoption curve for deep learning and AI applications. In this stage, although AI technology has made significant progress and has been applied in some areas such as image recognition and natural language processing, its potential in broader industries and society has yet to be fully explored and realized.

Currently, NVIDIA's GPU chips play a crucial role in accelerating the training and operation of AI models and have been widely deployed in data centers by companies such as Amazon, Microsoft, Google, and OpenAI. Public data shows that NVIDIA occupies approximately 80% of the high-end AI chip market, making it an indispensable part of deep learning and other AI applications.

Investment banks are currently optimistic about the demand for NVIDIA chips. In a recent report, Mizuho analyst raised the target price for NVIDIA stock from $625 to $825. Analyst Vijay Rakesh stated that **despite a slight decrease in delivery time for NVIDIA's flagship H100 processor, the overall demand for the product still far exceeds supply. In terms of market capitalization, NVIDIA surpassed Amazon for the first time in 20 years on Tuesday, with a market value of approximately $1.78 trillion, and is now just a step away from Google, which has a market value of approximately $1.81 trillion. It is expected to become the third largest company in the United States by market capitalization, following Apple (approximately $2.86 trillion) and Microsoft (approximately $3.02 trillion).