In a recent statement, Western Digital’s CEO highlighted the enduring importance of hard disk drives (HDDs) in the era of artificial intelligence (AI).
According to the executive, approximately 80% of hyperscaler data is stored on HDDs, with solid-state drives (SSDs) accounting for 10% and magnetic tapes covering the remaining 10%. This distribution underscores the critical role HDDs play in managing the massive data demands of AI workloads.
The preference for HDDs is driven by economics and energy efficiency. HDDs are roughly five to six times cheaper than SSDs for large-scale storage, making them a cost-effective choice for hyperscalers.
Additionally, HDDs consume fewer watts per terabyte, aligning with the industry’s push for sustainable, energy-efficient solutions in data centers.
Data centers employ a tiered storage strategy to optimize cost and performance. “Hot” data, requiring rapid access, is stored on flash-based SSDs. “Warm” and “cold” data, accessed less frequently, reside on HDDs, while archival data is relegated to tapes. This approach strikes a balance between accessibility, cost, and energy consumption, ensuring efficient management of AI-driven workloads.
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However, the skyrocketing demand for AI storage is straining supply chains. Manufacturers are struggling to keep up, with lead times for ultra-high-capacity drives (32TB and above) stretching from several months to a year. As AI continues to drive unprecedented data growth, HDDs remain a cornerstone of storage infrastructure, but the industry faces challenges in scaling production to meet this surging demand.
