Enterprise SSD prices jump 5% as AI storage costs soar
Tue, 11th Aug 2026 (Today)
VDURA's latest Flash Volatility Index shows enterprise SSD prices rose 5% in July and now stand at about 6.5 times their level a year earlier.
The update put 30TB TLC enterprise SSDs at USD $22,600, up from USD $3,460 in the third quarter of 2025. It priced 30TB QLC SSDs at USD $18,080, compared with USD $2,768 over the same period.
Hard drive prices also rose, though by less in absolute terms. According to the index, a 30TB HDD that cost USD $495 in the third quarter of 2025 now costs USD $1,216.
That leaves the cost multiple between 30TB TLC SSDs and 30TB HDDs at 18.6x. This is below the 23.2x peak recorded in the first quarter of 2026, but still far above the 7.0x multiple a year earlier.
The figures come as AI infrastructure operators weigh storage spending against demand for graphics processors. Storage is central to AI systems because it supports training reads, checkpoint writes and inference access, but not all data requires flash media.
Cost comparison
VDURA used its Storage Economics Optimizer Tool to model a reference deployment with 25PB of capacity and 1,000GB/s of sustained read performance. The setup was sized to guidance from AMD and Nvidia for a cluster of roughly 2,000 GPUs.
On that basis, an all-flash architecture built on 30TB TLC SSDs would carry a three-year cost of USD $51.60 million. An all-flash system combining storage-class memory with QLC would cost USD $48.42 million.
By contrast, a mixed-fleet design using 5.78PB of flash and 22.68PB of HDD in a single namespace would total USD $12.86 million over three years while delivering 1,040GB/s of sustained performance.
The gap between the mixed-fleet model and the TLC all-flash design is nearly USD $39 million. On that basis, the all-flash option costs roughly four times as much for equivalent deliverable performance.
VDURA argued that the economics matter for AI clouds because operators make money from GPU-hours and tokens served, not from storage itself. That means higher storage costs can weigh directly on margins if operators place large volumes of retention data on flash.
Workloads in AI systems are uneven, the company said. Training datasets, checkpoint histories and model archives can occupy petabytes of storage, while only a smaller subset of data paths needs NVMe flash performance.
The index is intended to track how swings in flash media prices affect system cost relative to the current HDD market. VDURA also publishes a modelling tool that lets users compare costs across different storage architectures, GPU counts and media mixes.
Two unnamed quotations in the update set out the company's interpretation of the numbers. "Flash pricing has stopped swinging wildly, but it has settled at a level that breaks the assumptions most all-flash architectures were sold on. A 5% monthly increase on top of a 6.5x year-over-year jump is not relief. It is confirmation that elevated flash pricing is structural, and every AI cloud and AI factory business plan needs to account for it."
A second quotation focused on the modelled deployment. "VDURA's architecture separates performance from capacity within a single namespace, and it continues to show dramatically lower cost escalation. When the same 25 PB, 1,000 GB/s system costs $12.86M in a mixed fleet versus $51.60M all-flash, storage architecture is no longer a technical preference. It is one of the biggest financial decisions in the AI infrastructure stack, second only to the GPUs themselves. Cost per token is the scoreboard, and storage is now one of the biggest levers on it."
VDURA's quarterly pricing table showed a steep rise over the past year. TLC SSD prices climbed from USD $3,460 in the third quarter of 2025 to USD $7,765 in the fourth quarter, then to USD $17,500 in the first quarter of 2026, USD $18,900 in the second quarter and USD $22,600 in the third quarter.
QLC prices followed a similar path, rising from USD $2,768 to USD $6,212, then to USD $14,000, USD $15,120 and finally USD $18,080. HDD pricing increased from USD $495 to USD $580, then to USD $755, USD $1,158 and USD $1,216 across the same quarters.
For operators planning large AI clusters, the figures underline how storage media choices can shift the balance of capital spending. VDURA's model put the mixed-fleet system at 1,040GB/s of sustained performance for USD $12.86 million over three years.