AI Workloads Demand Performance at Scale in File Storage

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AI and GenAI workloads demand high-performance, scalable file storage to manage the explosive growth of unstructured data, projected to reach 244ZB annually by 2027. IDC highlights the need for hybrid multicloud deployments and unified management tools to balance performance, scale, and efficiency. HPE GreenLake for File Storage, powered by Alletra Storage MP and VAST Data’s DASE architecture, delivers all-flash, NVMe-enabled exabyte-scale storage. This simplifies AI/GenAI pipelines, improves ROI, reduces time-to-value, and supports on-premises and cloud environments for AI transformation initiatives.

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AI Workloads Demand Performance at Scale in File Storage

AI Workloads Demand Performance at Scale in File Storage

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