AI hardware consists of CPUs, GPUs, TPUs, FPGAs, and memory systems. CPUs are essential for general computing tasks, while GPUs excel in parallel processing capabilities. TPUs are designed for machine learning workloads, FPGAs offer versatility and customization, and memory systems are crucial for high-speed data storage and retrieval.