Transform the CSV files into shards of TFRecords and utilize Cloud Storage for data storage, leveraging TensorFlow's native support for TFRecords and Cloud Storage's scalability.

Load the data into BigQuery and access the data directly from BigQuery, taking advantage of its serverless architecture and SQL interface for data manipulation.

Convert the CSV files into shards of TFRecords and store them in the Hadoop Distributed File System (HDFS), utilizing HDFS's distributed storage capabilities.

Import the data into Cloud Bigtable and read the data from Cloud Bigtable, benefiting from its low-latency and high-throughput capabilities for large-scale datasets.