The business value that AI offers is clear, and enterprises are scrambling to capture that value before the competition. To do that, they’ll have to rethink their IT infrastructure. The conventional compute and storage solutions they’ve relied on up until now simply aren’t up to the task of supporting AI. A successful enterprise AI strategy requires a data architecture built specifically for AI. This architecture must be able to support different AI workloads, including training workloads that require massive compute capacity and GPU availability and inference workloads that require ultra-low latency. Incorporating cloud adjacent storage practices into your data architecture…

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