AI Infrastructure Shifts to Long-Term Data Systems as Storage Needs Explode

Event summary

  • 66% of respondents prioritize reliable, scalable infrastructure over new technologies in AI deployments.
  • 69% of organizations focus on AI workloads and reliability, with only 7% prioritizing latency optimization.
  • 87% of respondents emphasize capacity expansion and total cost of ownership (TCO) optimization.
  • 70% of respondents operate HDD-majority infrastructure, with 35% using HDDs for over 75% of storage capacity.

The big picture

The survey highlights a structural shift in AI infrastructure planning, where long-term data retention and operational economics are becoming as critical as compute challenges. As AI evolves from experimentation to production-scale deployments, the demand for reliable, scalable storage solutions is compounding, reinforcing the strategic role of HDDs in bulk storage. This trend underscores the growing importance of tiered storage architectures that balance performance and cost across the AI data lifecycle.

What we're watching

Storage Strategy
How Western Digital will balance HDD and SSD solutions to meet long-term data retention needs.
Market Dynamics
Whether the shift toward reliable, scalable infrastructure will accelerate HDD adoption in AI-driven data environments.
Cost Efficiency
The pace at which organizations will optimize TCO as AI data volumes continue to grow exponentially.

Related topics

Technology