This white paper explains why legacy storage cannot meet the speed, scale, and flexibility required for modern AI workloads. It highlights how AI initiatives depend on unified access to diverse data types, automation to eliminate manual management, and hybrid-cloud mobility for training and inference at scale. The paper emphasizes the need for a unified architecture, comprehensive AIOps observability, dynamic scalability, and high availability to avoid bottlenecks and operational burden. It presents the Pure Storage platform as an AI-ready foundation that unifies data services, accelerates performance, eliminates silos, enables nondisruptive upgrades, and strengthens resilience for long-term AI growth.

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