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 uses neural network models to create new content. Architectures like the Transformer enable tasks such as text generation, translation, and image synthesis. LLM inference accelerators are specialized hardware that speeds up these models with parallel processing, memory optimization, and low-power techniques, enabling fast and efficient generation at scale.