A video analytics company is using Amazon SageMaker to train a machine learning model for real-time object detection. The training involves large volumes of video data and requires distributed training across multiple GPU instances. The ML engineer notices that training is slower due to high network latency and inconsistent data throughput between instances. Which two of the following configurations should the engineer apply to optimize training performance and scalability? (Select two)