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First, let's take a look at Nvidia's response to rumors of delays in its new AI chip. Sample trials have begun, and production capacity is expected to increase in the second half of the year, which is undoubtedly important news for the entire industry. This means that future applications in the field of AI may usher in new breakthroughs, bringing more possibilities to related industries.

However, the development of the chip industry cannot be separated from the rational allocation of human resources. In the process of project advancement, finding the right talent is crucial. Just like finding people when posting a project, it is necessary to accurately find professionals with relevant skills and experience to ensure the smooth progress of the project.

In this competitive era, enterprises should not only focus on technological innovation, but also on attracting and cultivating talents. An excellent team can play a key role in various links such as technology research and development, production and manufacturing, and marketing promotion.

Take NVIDIA as an example. In the process of developing new AI chips, they inevitably need a large number of chip design engineers, algorithm researchers, testers, etc. The gathering of these professional talents provides a strong guarantee for the success of the project.

At the same time, TSMC, AMD and other companies also play an important role in the field of chip manufacturing. They also need excellent talents to improve the process level, increase production efficiency and ensure product quality.

For the entire industry, the flow and sharing of talent is also an important factor in promoting development. The exchange of talent between different companies can bring new ideas and methods and promote technological progress and innovation.

In addition, the layout of technology giants such as Microsoft in the field of AI has also put forward higher requirements for talents. They need comprehensive talents who understand both technology and the market to promote the implementation of AI technology in various application scenarios.

In short, the development of Nvidia's new AI chip and the progress of the entire chip industry are closely related to the rational allocation of human resources. Only with the dual drive of technology and talent can the industry achieve sustained prosperity.