TL;DR
SSD prices have risen sharply in 2026, with 2TB consumer NVMe drives now listed around $300 to $480 after selling for $120 to $150 in 2024, according to Thorsten Meyer AI. The report links the increase to two forces: NAND supply pressure from HBM production and direct AI demand for fast storage.
SSD prices have joined the 2026 memory crunch, with a 2TB consumer NVMe drive that sold for about $120 to $150 in 2024 now listed at $300 to $480, according to a late-June report from Thorsten Meyer AI. The report says storage is being hit by both constrained NAND supply and direct demand from AI systems, making flash memory a growing cost for consumers, PC builders and data-center buyers.
The report says enterprise SSD contract prices rose by a record 53% to 58% in the first quarter of 2026, while 1TB consumer drives have roughly doubled from late-2025 levels. Across the underlying NAND flash market, contract prices have multiplied by about four to four-and-a-half times over nine months, according to figures cited by Thorsten Meyer AI from industry sources including TrendForce.
The confirmed pattern is broad: the report identifies pressure across enterprise eSSDs, consumer NVMe drives, industrial and automotive storage, and even some hard-drive demand as buyers seek substitutes. It also says some PC makers have moved base configurations from 1TB to 512GB, a sign that higher flash prices are already affecting finished products.
The report attributes the price pressure to two related forces. First, NAND production competes with DRAM and HBM for cleanroom space, capital and engineering resources. Second, AI inference systems now consume fast storage directly through high-IOPS enterprise SSDs, vector databases, retrieval systems and cache-heavy server designs.
The SSD squeeze: storage joined the party
Storage was the last cheap thing in computing. Not anymore — a 2TB NVMe that was $120–150 in 2024 now lists at $300–480. And this time flash isn’t only collateral damage: AI eats storage directly.
both ways
Flash got hit twice — once as collateral sharing fabs with HBM, once directly as AI inference turned fast storage into something it consumes by the petabyte. That second force won’t fade; it grows with every model, every RAG pipeline, every cache that must live somewhere fast. Buy what you need now; favor TLC with DRAM cache, don’t overpay for Gen 5, watch for counterfeits. Relief isn’t forecast before late 2027. When the cheapest component in computing has a two-year waitlist, “commodity” no longer fits. Next: The High-End PC & Workstation Tax.
Storage Costs Hit Buyers
The price change matters because SSD storage had been one of the cheapest upgrades in personal computing for much of the past decade. If current pricing holds, PC builders, workstation users and small businesses may face higher costs for systems that depend on large local storage.
For data centers, the impact is larger. The report estimates that a high-end AI GPU may require about 16TB of TLC or QLC flash to feed it efficiently, while an AI server rack can require more than 1,000TB of NAND. Those figures are labeled as estimates, but they point to why storage is no longer only a support component in AI infrastructure.
The consumer effect may show up as higher SSD prices, smaller default storage tiers, fewer discounts and more risk from counterfeit or relabeled drives in online marketplaces. The report advises buyers who need capacity now to favor TLC drives with DRAM cache and avoid paying extra for features they do not need, including some Gen 5 models.
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How NAND Became Scarce
The new storage pressure follows earlier reports in the same series about the 2026 memory crunch, which focused first on RAM. In those reports, the main issue was that HBM demand for AI systems pulled manufacturing attention away from other memory products. The SSD report says NAND flash is affected by that same production bottleneck.
The report says Samsung and SK Hynix have reportedly cut NAND wafer targets, while Micron has said it can satisfy only 55% to 60% of demand from major customers. It also cites Phison as saying its entire 2026 output is sold out and that server customers are being prioritized over retail channels.
Unlike RAM, the report argues, storage is not only collateral damage from AI-driven HBM production. AI systems also use fast SSD capacity for retrieval-augmented generation, vector databases and key-value cache storage. That means demand may rise as more AI models are deployed for inference, not only during training buildouts.
“Storage was the last cheap thing in computing. Not anymore.”
— Thorsten Meyer AI report
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Price Relief Remains Unclear
Several parts of the outlook remain uncertain. The report says relief is not forecast before late 2027, but future pricing depends on AI deployment rates, buyer behavior, wafer allocation decisions and any changes in NAND production plans.
The report also says the split between true supply shortage and manufacturer pricing discipline is not fully measurable from public data. It states that both appear to be factors: AI demand is large, new fabs take years to build, and a small number of firms control much of global memory output.
The figures for NAND per GPU and NAND per rack are presented as estimates, not audited totals. It is also not yet clear how quickly higher enterprise prices will pass through to consumer PCs, retail SSDs and cloud service pricing.
gaming PC NVMe SSD 2TB
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Late 2027 Supply Watch
Buyers will be watching NAND contract prices, enterprise SSD lead times, retail NVMe listings and manufacturer production targets through the rest of 2026. The next milestone is whether suppliers add capacity, keep wafer plans tight or continue steering output toward server and AI customers.
For readers planning a build or storage upgrade, the practical issue is timing. The report’s guidance is to buy needed capacity rather than speculative extras, choose reliable TLC-based SSDs where endurance matters, and be careful with unusually cheap listings while shortages persist.
fast storage for AI systems
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Key Questions
Why are SSD prices rising in 2026?
According to the Thorsten Meyer AI report, SSD prices are rising because NAND supply is constrained while AI systems are creating direct demand for fast flash storage.
How much have consumer SSD prices changed?
The report says a 2TB NVMe SSD that sold for about $120 to $150 in 2024 now lists at roughly $300 to $480, while many 1TB drives have roughly doubled.
Is this only a consumer PC problem?
No. The report says the pressure is strongest in enterprise SSDs, where contract prices rose 53% to 58% in one quarter, and where AI infrastructure buyers are competing for top supply.
When could SSD prices ease?
The report says relief is not expected before late 2027, but that forecast could change if AI demand, wafer allocation or new capacity plans shift.
What should buyers do now?
The report advises buying storage that is actually needed, favoring TLC SSDs with DRAM cache for demanding use, avoiding unnecessary premiums and watching for counterfeit drives.
Source: Thorsten Meyer AI
