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SSD prices have joined the 2026 memory crunch, with 2TB consumer NVMe drives now listed around $300–480 after selling for $120–150 in 2024, according to Thorsten Meyer AI’s late-June roundup. Enterprise SSD contract prices rose an estimated 53–58% in Q1 2026 as AI systems consume more flash and suppliers direct capacity toward higher-margin server demand.
SSD prices have joined the 2026 memory crunch, with consumer NVMe drives doubling or tripling and enterprise SSD contract prices rising an estimated 53–58% in Q1 2026, according to a late-June Thorsten Meyer AI report citing market trackers including TrendForce, Tom’s Hardware and Nomura.
The report says a 2TB consumer NVMe SSD that sold for about $120–150 in 2024 is now commonly listed around $300–480, while 1TB consumer drives have roughly doubled from late-2025 levels. It also says underlying NAND contract prices have risen about fourfold to four-and-a-half-fold over nine months.
On the enterprise side, Thorsten Meyer AI cited market data showing record quarterly SSD contract increases at the start of 2026. The report also says SanDisk moved to double prices for some enterprise 3D NAND products, while high-end enterprise SSD supply is being absorbed first by hyperscalers and AI infrastructure buyers.
The cause is described as a two-sided squeeze. NAND flash competes with DRAM and HBM for manufacturing space, capital spending and engineering resources, while AI systems now consume large volumes of fast storage directly through vector databases, retrieval-augmented generation systems and cache-heavy inference workloads.
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 move matters because storage had been one of the few PC and server components that kept getting cheaper. Higher SSD costs now affect consumer PC builds, workstations, cloud infrastructure and enterprise procurement at the same time.
For readers planning a PC upgrade, the practical effect is immediate: the report says buyers may see more systems ship with 512GB base storage instead of 1TB, higher retail prices for quality TLC drives, and more pressure to choose older-generation SSDs rather than pay a premium for fast Gen 5 models.
For businesses, the impact is broader. AI deployments depend on fast local storage for serving models, maintaining caches and querying large datasets. If NAND remains scarce, the storage layer can become a real budget constraint, not just a background infrastructure line item.
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AI Demand Reaches NAND
The source material frames this as Part 4 of a broader series on the 2026 memory crunch. Earlier parts focused on RAM and HBM, while this installment argues that storage has now been pulled into the same supply cycle.
The report says the first pressure point is shared manufacturing capacity: Samsung, SK Hynix and Micron must allocate investment and production between NAND, DRAM and high-margin HBM. When suppliers favor AI memory products, NAND output can tighten even if consumer SSD demand is not the main driver.
The second pressure point is direct AI use. Thorsten Meyer AI estimates that a single high-end AI GPU may require roughly 16TB of flash to feed workloads efficiently, while an AI server rack may require more than 1,000TB of NAND. The report labels those figures as estimates, not audited deployment totals.
“Storage was the last cheap thing in computing. Not anymore.”
— Thorsten Meyer AI
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Forecasts Still Carry Caveats
Several details remain uncertain. The per-GPU and per-rack NAND figures in the report are estimates, and actual storage needs vary by model size, system design, cache strategy and whether workloads rely on local SSDs or networked storage.
It is also not yet clear how much of the price rise comes from physical shortage versus supplier discipline. The report says Samsung and SK Hynix reportedly cut NAND wafer targets, while Micron has said it can meet only 55–60% of main customer demand. Those supply signals point to tight conditions, but they do not prove a single cause for current retail pricing.
Retail prices may also differ by region, brand, controller, NAND type and inventory age. The current figures are a late-June 2026 snapshot, and the market may move again as retailers clear older stock or receive new contract-priced inventory.
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Late 2027 Relief Watch
The report says broad relief is not expected before late 2027, because new fabs take years to build and current production is being steered toward higher-margin enterprise and AI customers. In the near term, buyers should watch NAND contract prices, supplier wafer targets, and whether consumer SSD listings continue to rise through the second half of 2026.
The next pressure point will be product mix. If top-grade TLC and enterprise SSDs remain constrained, PC makers may ship smaller base drives, industrial customers may face longer lead times, and buyers may see more low-cost or questionable SSD listings appear in retail channels.
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Key Questions
What is the actual news development?
SSD prices have surged in 2026, with consumer NVMe drives roughly doubling or tripling and enterprise SSD contracts rising sharply in Q1, according to the late-June Thorsten Meyer AI report.
Why are SSD prices rising now?
The report points to two forces: NAND shares factory resources with DRAM and HBM, and AI systems now consume fast storage directly for inference, caches and large data retrieval systems.
Are the AI storage figures confirmed?
No. The report labels the 16TB per GPU and 1,000TB-plus per rack figures as estimates. They are useful for scale, but not fixed requirements for every AI system.
Should consumers buy SSDs now?
The source material advises buying only what is needed, favoring TLC SSDs with DRAM cache, avoiding excessive premiums for Gen 5 drives, and watching for counterfeit or low-quality listings.
When could SSD prices ease?
The report says relief is not forecast before late 2027, though that outlook depends on AI demand, supplier output decisions and how quickly new capacity reaches the market.
Source: Thorsten Meyer AI
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