Heat Sink Solutions:1. Scaling for Data Centers and Chip Evolution

With the advancement of digital transformation, widespread adoption of IoT devices, expansion of cloud computing, and extensive applications of artificial intelligence (AI) and machine learning (ML) technologies, the total volume of newly generated data worldwide is growing rapidly annually alongside digital development.

The surge in data volume necessitates greater computing resources to process, store, and analyze this information, particularly placing higher demands on data processing technologies and real-time capabilities.

As a result, technologies such as cloud computing, big data, and AI require enhanced computing power to meet these challenges.

The global expansion of computing capabilities primarily stems from two key drivers: advancements in the performance of individual computing chips and the expansion in both the quantity and scale of data centers.