Summary
The article discusses the often-overlooked storage opportunities in AI infrastructure, emphasizing that not all data requires high-performance storage at every stage of the AI pipeline. It suggests that tape technology, traditionally used for backup, can be a cost-effective solution for storing large datasets before processing, optimizing costs while maintaining data readiness.
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