👉 Secondary computing refers to the computing resources and techniques that support primary computing tasks, typically involving offloading certain processing, memory, or I/O operations from the main computer system to specialized hardware or distributed systems. This approach enhances overall system performance, efficiency, and scalability by leveraging specialized processors like GPUs, FPGAs, or ASICs for tasks such as graphics rendering, machine learning, or data processing. Secondary computing allows primary systems to focus on their core functions while offloading complex computations, leading to faster execution times and more effective utilization of resources.
