👉 Specialized computing, also known as domain-specific computing or accelerator computing, refers to the use of hardware designed for specific tasks to enhance performance and efficiency beyond what general-purpose CPUs can achieve. This approach involves creating specialized processors, such as GPUs for graphics processing, TPUs for machine learning, or FPGAs for flexible, reconfigurable operations, which are optimized to handle particular types of computations. By offloading these tasks to specialized hardware, systems can achieve significantly higher speeds and lower power consumption, making them ideal for applications like deep learning, scientific simulations, and real-time data processing. This specialization allows for more efficient use of resources and can lead to breakthroughs in fields requiring intensive computational power.
