The VAST Data Platform is a unified, software-defined architecture built for deep learning, real-time analytics, and AI-enabled discovery. It disaggregates compute and storage using a DASE (Disaggregated Shared Everything) design, enabling high performance, low latency, and exabyte-scale storage with global consistency. Its components—DataStore, DataBase, DataEngine, and DataSpace—support structured, unstructured, and streaming data. With advanced features like similarity-based reduction, locally decodable erasure coding, and serverless functions, it bridges the gap between traditional data platforms and next-gen AI infrastructure.

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