Comparative Analysis of CPUs, GPUs, NPUs, and TPUs for Modern AI Workloads
Summary
The article compares CPUs, GPUs, NPUs, and TPUs, highlighting their distinct architectures and roles in handling modern AI workloads. It explains that while CPUs offer versatility, GPUs excel at parallel processing, NPUs are optimized for neural network tasks, and TPUs provide high efficiency for large-scale AI models. Understanding these differences is crucial for selecting the right hardware to maximize AI performance and efficiency.