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Outdated storage, not the GPU itself, is the primary bottleneck causing accelerators to sit idle during AI workloads. Gartner found only 28 percent of AI infrastructure projects deliver full ROI, with storage bottlenecks driving those numbers down. HPE advocates an AI-ready data architecture with unified access and enrichment at ingest.
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