The demand for inference in AI has resulted in a growing storage bottleneck, leading to anticipated delays exceeding one year for HDD supplies, while SSD shortages and price increases are also forecasted. As AI models integrate with real-world business applications, the need for high-density storage is accelerated.
Analysts indicate that ongoing supply issues for HDDs and SSDs will persist, causing companies to shift towards high-density flash storage solutions to manage strict constraints on power, space, and latency. A recent report highlighted the rapid growth of AI inference demand, leading to manufacturers enhancing their high-capacity storage product lines. The adoption of next-generation technologies like Heat-Assisted Magnetic Recording (HAMR) is noted, despite the overwhelming investment costs and production stabilization hurdles.
Furthermore, as interaction costs with AI models decline, the volume of data processed has surged significantly, urging companies to strategically plan their storage needs. Analysts recommend data center managers to prepare for obtaining SSD supplies at levels comparable to GPU strategy, ensuring vendor diversity and standardization to maintain data flow during transitions. Considering these dynamics, the storage landscape is set for significant evolution ahead.
👉 Pročitaj original: CIO Magazine
