You are training a large-scale deep learning model on a Cloud TPU. While monitoring the training progress in TensorBoard, you observe consistently low TPU utilization and significant delays between the completion of one training step and the start of the next step. You want to improve TPU utilization and overall training performance. What should you do to resolve this issue?