WD Customer Survey Highlights Growing Focus on Scale, Economics, and Reliability in AI Infrastructure Planning
As AI has evolved into continuous, production-scale data systems, the challenge of managing the explosive growth of data storage requirements is now at the same level as compute challenges. In a new survey of a cross-section of its largest global customers and distributors, Western Digital Corporation (Nasdaq: WDC) found that, amongst other unique market insights, enterprises are prioritizing infrastructure that delivers proven reliability, predictable economics, and the ability to scale data over time.
The findings reinforce a structural shift in AI infrastructure: while compute resources are reused across training and inference cycles, the data generated by AI, such as training datasets, inference logs, embeddings, and outputs, continues to accumulate. As organizations move from experimentation to production AI deployments, infrastructure decisions are increasingly being driven by long-term data retention and operational economics. This creates a compounding demand for storage that persists independent of short-term compute cycles.
Key Survey Findings
Proven Infrastructure...
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