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Western Digit
2026-08-15 02:03:28

Western Digital says AI data growth is outpacing compute planning, making storage a core infrastructure constraint

Western Digital said in a recent analysis that the buildout of AI data centers is shifting away from a narrow focus on GPU capacity and toward competition over storage capability. The company argued that storage planning is now a core part of AI infrastructure as data generated across the AI lifecycle keeps accumulating rather than disappearing after compute jobs end. Citing an IDC forecast, the analysis said annual global data creation will reach 718 zettabytes by 2030. Western Digital said AI systems continuously produce and retain training data, model checkpoints, embedding vectors, inference logs, prompts, outputs, and evaluation datasets. Those records later become important assets for model iteration, quality assessment, and compliance audits. The company also warned that many infrastructure plans still pay too much attention to GPU utilization while overlooking long-term data accumulation. As datasets move into the petabyte and even exabyte range, a single storage architecture becomes harder to sustain. Western Digital said enterprises should adopt tiered storage strategies, using high-performance flash for training and real-time inference, while relying on high-capacity HDDs and object storage for long-term retention, historical archives, and low-frequency access. It added that future AI infrastructure competition will be judged not only by GPU counts, but also by storage cost per PB, power consumption, recovery efficiency, and lifecycle data management.

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Western Digital says AI data growth is outpacing compute planning, making storage a core infrastructure constraint
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