Description: High-speed processing refers to the ability to process data at very high rates, which is crucial for real-time applications. This capability allows systems to analyze and respond to large volumes of information instantaneously, which is essential in a world where immediacy is increasingly valued. In the context of distributed computing, high-speed processing occurs close to the data source, rather than relying solely on centralized servers. This not only reduces latency but also optimizes bandwidth usage, as it minimizes the amount of data that needs to be sent to the cloud. Key characteristics of this type of processing include resource efficiency, the ability to perform complex inferences in real-time, and adaptability to different environments and conditions. The relevance of high-speed processing lies in its ability to enable critical applications such as autonomous driving, smart surveillance, and industrial automation, where every millisecond counts and decisions must be made quickly and accurately.
