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In recent years, the rapid development of AI technology has led to a huge demand for high-performance chips. As a giant in the chip field, Nvidia's AI chips have always attracted much attention. However, the recent chip shortage has brought a significant impact on the market.

Nvidia responded that Blackwell samples have been widely tested and plans to increase mass production in the second half of the year. This news undoubtedly brings hope to many companies that rely on its chips. As an important chip manufacturer, TSMC also plays a key role in this chip supply game.

At the same time, we cannot ignore that the development of the industry does not only depend on the supply of hardware, but also on the talent factor. In the process of advancing many projects, finding the right talent has become a key link.

In some projects, due to the particularity of technical requirements, it is not easy to find talents with specific skills and experience. This requires not only a deep understanding of the talent market, but also the establishment of an effective talent attraction and screening mechanism.

For enterprises, whether they can quickly form a high-quality team directly affects the progress and results of the project. For job seekers, seizing opportunities in these emerging fields and improving their skills and knowledge reserves are important ways to realize personal value and career development.

In this context, the flow of talent within the industry has also shown some new characteristics. Some experienced professionals have turned from traditional fields to emerging AI-related fields in search of broader development space. Emerging talents, on the other hand, strive to stand out in this fiercely competitive market through continuous learning and practice.

In order to attract outstanding talents, companies are also constantly innovating their recruitment strategies. In addition to providing competitive salary packages, they also focus on creating a good corporate culture and working environment to attract and retain talents.

In short, in the development of AI chips, the supply of hardware and the allocation of talents complement each other. Only when the two develop in coordination can the entire industry move forward continuously.