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A global climate change prediction system is a typical example of a system that operates on a supercomputer because it requires immense computational power to process vast amounts of data. Supercomputers are designed to handle complex calculations and simulations that can involve numerous variables and large datasets, which are common in climate modeling.

These systems analyze various factors like atmospheric conditions, ocean temperatures, ice coverage, and greenhouse gas concentrations over extended periods, making use of sophisticated algorithms to predict future climate scenarios and their impacts. The scale and complexity of these tasks, along with the need for high precision, make supercomputers the most suitable option for this kind of work.

In contrast, real-time video streaming platforms, social media algorithms, and online gaming servers typically do not demand the same level of computational intensity and can operate effectively on more standard computing infrastructure. These applications involve different types of processing, such as user interaction and data management, which do not necessitate the extensive parallel processing capabilities that supercomputers provide.