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07 Aug 2026
Scality Autonomous Data Infrastructure — Solution Overview
AI has broken the old storage model. Most enterprises now run premium flash for AI, separate object stores for backup and archive, SAN for block, and a growing cloud footprint — five stacks, three teams, and no shared SLA. Scality ADI (Autonomous Data Infrastructure) replaces that sprawl with one software platform that spans four performance-and-economics tiers (Extreme, Hot, Warm, Cold) under a single namespace, moving data between them by policy instead of migration project.
This overview introduces how ADI is built: MULTISCALE for independent scaling of capacity, performance, and users; CORE5 for cyber resilience by design; AICONNECT for GPU-Direct AI workflows; and Guardian, the AI agent for autonomous operations — all on the field-proven Scality RING engine. Inside you'll find the key capabilities per workload, the use cases (Enterprise AI, cyber resilience, sovereign control), performance highlights (multi-TB/s throughput, 3µs TTFB, up to 20x better power efficiency than all-flash), and where ADI fits across training, inference, RAG, backup, archive, and sovereign cloud. A concise starting point for teams evaluating a unified data infrastructure for the AI era.iption
This overview introduces how ADI is built: MULTISCALE for independent scaling of capacity, performance, and users; CORE5 for cyber resilience by design; AICONNECT for GPU-Direct AI workflows; and Guardian, the AI agent for autonomous operations — all on the field-proven Scality RING engine. Inside you'll find the key capabilities per workload, the use cases (Enterprise AI, cyber resilience, sovereign control), performance highlights (multi-TB/s throughput, 3µs TTFB, up to 20x better power efficiency than all-flash), and where ADI fits across training, inference, RAG, backup, archive, and sovereign cloud. A concise starting point for teams evaluating a unified data infrastructure for the AI era.iption