2025-10-13
Presented by Solidigm
As AI adoption surges, data centers face a critical bottleneck in storage — and traditional HDDs are at the center of it. Data that once sat idle as cold archives is now being pulled into frequent use to build more accurate models and deliver better inference results. This shift from cold data to warm data demands low-latency, high-throughput storage that can handle parallel computations. HDDs will remain the workhorse for low-cost cold storage, but without rethinking their role, the high-capacity storage layer risks becoming the weakest link in the AI factory.
"Modern AI workloads, combined with data center constraints, have created new challenges for HDDs," says Jeff Janukowicz, research vice president at IDC. "While HDD suppliers are ad [...]
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