A retail company already uses a large custom Gemini-based model that they tuned on Vertex AI. Their data science lead reports that during peak sales events, the model must handle massive batches of inference requests, and they want the most cost-efficient, high-throughput hardware accelerator that Google specifically designed for large-scale machine learning workloads. Which Google Cloud infrastructure option should they choose?