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SSD Prices Settle Into a Costly New Normal at ~6.5x Year-Ago Levels, Reshaping the Economics of AI Factories, VDURA Flash Volatility Index Shows

Analysts say optical links are becoming the main bottleneck as AI clusters expand, with data center capex projected to exceed $1.7 trillion by 2030.

  • The August 1, 2026, update to the VDURA Flash Volatility Index reveals enterprise flash pricing has stabilized at approximately 6.5x higher than last year, establishing a new normal for AI infrastructure costs.
  • Global data center capital expenditures are projected to exceed $1.7 trillion by 2030, driven by accelerating AI investment requiring more compact and cost-effective storage and optical architectures.
  • Modeling a 2,000-GPU cluster, VDURA found an all-flash architecture costs $51.60M over three years, while a mixed-fleet design totals $12.86M—a difference of nearly $39M for equivalent performance.
  • High-Speed optical connectivity is foundational to the AI fabric, with 800G rollouts and coherent pluggables enabling operators to scale XPU clusters and backend networks across distributed sites.
  • As inference workloads overtake training in 2026, enterprises must optimize storage budgets and optical networking to manage power and space constraints in growing AI factories.
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13 Articles

CFOtech AustraliaCFOtech Australia
+4 Reposted by 4 other sources

Enterprise SSD prices jump 5% as AI storage costs soar

AI cloud operators face sharply higher storage bills, with a mixed-fleet design costing almost USD $39 million less than all-flash over three years.

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datacenterdynamics.com broke the news on Monday, August 10, 2026.
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