Memory Management Improves AI Efficiency

The invention addresses the modern challenge of efficiently managing memory resources in computing devices that handle complex neural networks and language models. The problem today is that handling large language models requires significant memory, which is both costly and inefficient, particularly for small to medium enterprises. Existing solutions struggle with memory constraints, cost, and performance. This invention offers a breakthrough memory management system comprising multiple memory banks, control units, multiplexers, demultiplexers, and switching mechanisms designed to optimize the memory use dynamically. By activating only the necessary parts of memory banks for specific tasks, the system conserves power and costs, and enhances the performance of language models. It particularly leverages High Bandwidth Memory (HBM) and Compute Express Link (CXL) memory technologies to provide high-capacity, scalable memory access across CPUs, GPUs, and other processors. The tangible benefits include reduced energy consumption, faster processing times, and lower operational costs. The broader impact extends to making advanced AI technologies more accessible to smaller enterprises, promoting innovation, and potentially revolutionizing computational efficiency in the tech industry.