Rapid Storage: Sub-Millisecond Latency Storage Built on Colossus

Google's Rapid Storage leverages the Colossus architecture to achieve an incredible 20 million requests per second throughput, providing sub-millisecond latency for reads and writes, particularly beneficial for AI/ML applications. Using gRPC streaming and a stateful protocol, Rapid Storage dramatically improves data access efficiency, preventing storage latency from blocking accelerators during model pre-training, for example. Its robust fault tolerance ensures data consistency and continuity even with client or server failures, enabling unlimited appends and resuming interrupted operations. This makes it a powerful solution for large-scale data processing.
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