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AI Storagemaxxing: Your GPUs are optimized, what about your data?
TechRadar·October 15, 2026·1 min read

AI Summary
Organizations scaling AI workloads increasingly need to prioritize data infrastructure optimization alongside GPU resources, focusing on efficient data movement, protection, and storage strategies. The ability to manage and optimize data pipelines is becoming as critical to AI infrastructure performance as access to computational power itself.
From the source
As organizations scale AI workloads, the ability to optimize, protect and move data will become as important to infrastructure strategy as access to compute.
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