Interview: Nvidia on AI workload demands and storage performance
Artificial intelligence (AI) workloads are new and different to those we’ve seen previously in the enterprise. They range from intensely compute-intensive training to day-to-day inferencing and RAG referencing that barely tickles CPU and storage input/output (I/O). So, across the various genres of AI workload, the I/O profile and impacts upon storage can vary dramatically. In…
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