A financial institution is developing a TensorFlow model to predict the impact of consumer spending on global inflation. The dataset is large and complex, requiring extensive training with frequent checkpointing across various hardware types. The institution aims to minimize costs while ensuring the model's training is efficient and scalable. Given these requirements, which of the following hardware options should be selected? (Choose two options if E is available)