Normalised provider profile

VAST Data develops data infrastructure for large unstructured datasets and AI workloads. Storage and data platforms must fit access patterns, networks and compute estates. Buyers should test throughput, latency, resilience, interfaces, operations and cost using real data. GPU partnerships do not guarantee performance for every model pipeline. AI workloads need separate sizing for training, inference and preparation. Storage benchmarks on large files may say little about small random access.