In the us-central1 region, machine learning engineers are working with approximately 200 TB of data intended for training machine learning models. Only a small subset of this data is used for each training session, and the data is accessed about once per month. The goal is to minimize storage costs while ensuring the data remains highly available and reliable. What storage solution would you recommend?