In this project, we will leverage high-performance CPU clusters to train advanced machine learning models aimed at optimizing telecommunication systems. By utilizing the computational power of these clusters, we can process large datasets and complex algorithms more efficiently, enabling us to develop and refine methods that enhance network performance, reduce latency, and improve overall communication reliability. The trained models will be applied to various aspects of telecommunication networks, including traffic prediction, resource allocation, and fault detection, leading to smarter and more adaptive systems. This approach promises significant improvements in the efficiency and effectiveness of communication networks.