AI data growth drives demand for hybrid storage architectures
AI's data tsunami is forcing enterprises off pure-cloud: hybrid storage is now table stakes.
Why it matters
AI workloads are reshaping infrastructure economics and deployment patterns. Organizations are moving away from cloud-only strategies toward hybrid on-prem/cloud/edge architectures to manage AI's storage and compute demands cost-effectively.
The key facts
7 to knowMost organizations now operate across on-premises, cloud, and edge environments
Hybrid storage emerging as key architectural response to AI data growth
Cloud-only model proving insufficient for AI infrastructure complexity
Participants: Supermicro, Intel, Iron Mountain, Scality (mentioned vendors)
Hybrid storage emerging as response to AI data growth complexity
Cloud-only infrastructure proving insufficient for AI workload demands
Vendors mentioned: Supermicro, Intel, Iron Mountain, Scality
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Publisher excerpt: The growth of AI workloads is changing how organizations approach data management, and hybrid storage is emerging as a key resource. While the cloud originally promised simplicity, the reality is that infrastructure has become more complex. Most organizations now operate across a combination of…