You are a machine learning engineer at a biotechnology company working on a deep learning model to analyze genomic sequences. The model requires significant computational resources for training due to the complexity and size of the dataset, which consists of billions of nucleotide sequences. Additionally, once deployed, the model must provide real-time inferences for clinical applications, requiring low-latency predictions. Your task is to choose the appropriate compute environment for both training and inference. Which of the following compute environment configurations is the MOST SUITABLE for meeting the training and inference requirements of this use case?