Data architects, infrastructure leads, and technology executives responsible for on-premises data platform strategy who need a single foundation that supports analytics, AI/ML training, agentic workloads, and cloud analytics access without replication pipelines or technology stack sprawl.
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AIStor sustains 23.5 TiB/s throughput at exabyte scale while holding GPU utilization at 95%, with cost per TB dropping as data grows rather than climbing, delivering roughly 40% lower TCO than appliance-based alternatives.
Every query engine including Spark, Trino, and Databricks reads the same governed copy through the full S3 API and the built-in Iceberg V3 REST catalog, with read-after-write consistency guaranteed so no engine ever queries a stale result.
Production AIStor deployments span financial services, semiconductors, and telecom, with documented outcomes including more than 50% TCO reduction at Nomura, 90%+ query time improvement at AMD, and a 300% data-engineer productivity gain at Orange.
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