👉 Lite computing refers to a lightweight, efficient approach to executing computational tasks that prioritizes resource optimization and energy efficiency. It involves the use of simplified algorithms, reduced data processing, and minimal resource allocation to achieve performance goals while minimizing power consumption and hardware demands. This paradigm is particularly beneficial for edge devices, IoT systems, and mobile applications where battery life and processing power are constrained. Lite computing leverages techniques such as model compression, quantization, and pruning in machine learning models to make them more compact and faster to run without significant loss of accuracy. By focusing on essential functionalities, lite computing enables devices to perform necessary computations effectively while conserving resources, thus extending operational life and reducing costs.
