👉 Expansion computing refers to the practice of extending the capabilities and performance of existing computing systems by adding new hardware components or integrating additional processing units. This approach allows for improved efficiency, scalability, and performance without the need to completely redesign or replace the original system. By leveraging techniques such as heterogeneous computing, where different types of processors (e.g., CPUs, GPUs, FPGAs) work together to handle diverse workloads, expansion computing enables systems to tackle more complex tasks and higher data throughput. This method is particularly valuable in scenarios where cost-effectiveness and resource optimization are critical, such as in data centers, edge computing, and specialized applications like artificial intelligence and machine learning.
