machine-learning video for you are a machine learning engineer tasked with building a deep learning model to classify images for an autonomous vehicle project.
You are a machine learning engineer tasked with building a deep learning model to classify images for an autonomous vehicle project. The dataset is massive, consisting of millions of labeled images. Initial training runs on a single GPU instance in Amazon SageMaker are taking too long, and the training costs are rising. You need to reduce the model training time without compromising performance significantly. Which of the following approaches is the MOST LIKELY to effectively reduce the training time while maintaining model performance?