A. What role have Graphics Processing Units (GPUs) played in the deep learning boom, and how has their architecture contributed to the acceleration of deep learning model training and inference?

1. GPUs have not contributed significantly to the deep learning boom.

2. GPUs have been vital in the deep learning boom due to their unique architecture, which allows for parallel processing tasks, thus accelerating the training and inference of deep learning models.

3. GPUs have played a role in the deep learning boom by increasing the size of datasets used in deep learning.

4. GPUs have contributed to the deep learning boom by optimizing traditional Central Processing Units (CPUs).