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You are a machine learning engineer tasked with creating an image classifier using transfer learning based on a pre-trained EfficientNet model. Your training dataset consists of 20,000 images, and you need to retrain the model once per day to keep it updated with new data. Given this requirement, your objective is to minimize the infrastructure cost while ensuring efficient model training and data storage. What platform components and configuration environment should you use?
A
A Deep Learning VM with 4 V100 GPUs and local storage.
B
A Deep Learning VM with 4 V100 GPUs and Cloud Storage.
C
A Google Kubernetes Engine cluster with a V100 GPU Node Pool and an NFS Server
D
An AI Platform Training job using a custom scale tier with 4 V100 GPUs and Cloud Storage