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Generative AI (genAI) has unlocked new enterprise capabilities for organizations, be it delivering personalized customer experiences or enabling task automation. Driven by large language models (LLMs), genAI needs to ingest vast amounts of data and provide quick and accurate responses in split-second timings. But the effectiveness of genAI doesn’t only depend on the quality and quantity of its supporting data; ensuring genAI tools perform their best also requires adequate storage and compute space. Just as having full control over how data is managed is necessary and preferred for many organiz…

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