A machine learning team at a media company plans to train a very large custom foundation model from scratch. They expect the training job to involve massive matrix computations running continuously for weeks and want hardware purpose-built by Google to accelerate this kind of large-scale deep learning workload cost-effectively. Which Google Cloud infrastructure option best fits this need?