A CNN is a neural network for processing images, extracting features with convolutions and pooling, and making predictions via fully connected layers. A CNN inference accelerator is specialized hardware that speeds up these computations with parallelism, efficient memory use, and low-power techniques, enabling fast and accurate image recognition and vision tasks. 

Generative AI creates new content using neural networks, while AI agents add reasoning, planning, and autonomous task execution. LLM accelerators speed up these workloads through parallel processing, optimized memory access, and low-power computing for fast and efficient AI from edge to cloud.