How Cloud Architecture Is Reinventing Primary Storage for the AI Era
TechRadar Pro, Wednesday, July 29th, 2026
Primary storage is being redefined as software-managed and globally distributed rather than tied to hardware or proximity to compute.
Cloud providers have redesigned storage around software-defined architectures that separate how data is managed from where it is physically stored.
Assuming failures will happen across thousands of servers, modern architectures distribute data intelligently across large storage pools using techniques such as erasure coding to recover data efficiently while maintaining availability.
Because AI rarely produces smooth, predictable workloads-training jobs and inference requests arrive in bursts-cloud platforms increasingly use flash and memory as staging layers rather than writing every request directly to capacity storage. For organizations investing in AI, storage decisions can no longer focus purely on capacity or latency.