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An AI startup is developing a sophisticated image recognition model using TensorFlow on Amazon SageMaker. Due to the large volume of image data and the complexity of the model, training on a single GPU instance proves insufficient. How can the team scale their TensorFlow training job to efficiently utilize multiple GPUs within Amazon SageMaker?