--- title: "The New Storage Economics | TrueNAS" url: https://www.truenas.com/memflation/ description: " Memory prices are rising fast. If you haven't felt it already, you're going to on your next hardware refresh.Here's what's happening, why it matters - and critically, what you can do about it. " breadcrumb: ["Home", "Memflation"] date_published: 2026-03-09 date_modified: 2026-08-28 author: "Pee Jay Latombo" source: html generator: tn-md-extract/1 --- [Home](https://www.truenas.com) › **Memflation** A market intelligence report by TrueNAS # The (new) storage economics Memory prices are rising fast. If you haven't felt it already, you're going to on your next hardware refresh. Here's what's happening, why it matters - and critically, what you can do about it. Scroll to explore The price trajectory ## How we got here **Q1 2025 — The Pivot** Memory makers quietly redirect wafer capacity from consumer DRAM to HBM for AI accelerators. **Q3 2025 — The Multiplier** 1GB of HBM consumes 4× the wafer capacity of standard DRAM. Supply math breaks. **Q4 2025 — The Cascade** Inventory collapses. Enterprise SSD prices up 53–58% QoQ. NAND follows DRAM. **Q1 2026 — Record Highs** Server DRAM up 90–95% QoQ. Steepest quarterly increase ever recorded. AI demand keeps growing. New fabs won't ship until 2028. memflation /mem·flay·shən/ noun · emerging · 2025 The AI-driven inflation of memory and flash prices caused by a structural shift in global wafer capacity away from enterprise storage toward AI accelerators. The result: record price increases across DRAM, NAND Flash, and enterprise SSDs, with no relief in sight. **Origin:** Portmanteau of *memory* + *inflation*. Coined as AI hyperscalers began consuming memory supply faster than it could be produced, forcing the three manufacturers who control ~70% of global DRAM output to choose between enterprise storage and AI. They chose AI. What the market is saying ForbesQuote validity windows are shrinking, and configurations available today may not be available in 60 days. HPE Earnings Call"We expect DRAM and NAND costs to continue to increase in 2026, the majority of which we expect to pass to the market." CNBC"We're sold out for 2026" — Micron business chief Sumit Sadana, Jan 2026 Network WorldSK Hynix reported its HBM, DRAM, and NAND capacity is "essentially sold out" for 2026 — Oct 2025 earnings call. TrendForceThe demand for high-performance storage has far surpassed initial expectations as AI inference continues to grow. ReutersThe AI build-out "is colliding with a supply chain that cannot meet its physical requirements." Reuters"Everyone is begging for supply." NPRIf producers want the chips sooner, they're paying two to three times more. IDCThe year 2026 is shaping up to be one in which technology becomes more expensive, driven by supply constraints rather than demand growth. ForbesQuote validity windows are shrinking, and configurations available today may not be available in 60 days. HPE Earnings Call"We expect DRAM and NAND costs to continue to increase in 2026, the majority of which we expect to pass to the market." CNBC"We're sold out for 2026" — Micron business chief Sumit Sadana, Jan 2026 Network WorldSK Hynix reported its HBM, DRAM, and NAND capacity is "essentially sold out" for 2026 — Oct 2025 earnings call. TrendForceThe demand for high-performance storage has far surpassed initial expectations as AI inference continues to grow. ReutersThe AI build-out "is colliding with a supply chain that cannot meet its physical requirements." Reuters"Everyone is begging for supply." NPRIf producers want the chips sooner, they're paying two to three times more. IDCThe year 2026 is shaping up to be one in which technology becomes more expensive, driven by supply constraints rather than demand growth. Network WorldDDR5 64GB RDIMM modules, widely used in enterprise data centers, could cost twice as much by the end of 2026 as they did in early 2025. SHI InsightsIT leadership should budget for a 30–60% price uplift over the January baseline in H1 2026. BloombergDRAM inventory at suppliers fell from 13–17 weeks in late 2024 to just 2–4 weeks by October 2025. CRNHPE has implemented a contract stipulation allowing price adjustments until the date of shipment on server and GreenLake orders. CNNAnalysts and tech executives have warned that the memory shortage will persist well into next year. TrendForceDRAM contract prices have been revised upward to 90–95%. TrendForceNAND Flash contract prices are now expected to rise 55–60%. The RegisterOrganizations planning infrastructure refreshes or expansions may need to reassess budgets and timelines. Network WorldDDR5 64GB RDIMM modules, widely used in enterprise data centers, could cost twice as much by the end of 2026 as they did in early 2025. SHI InsightsIT leadership should budget for a 30–60% price uplift over the January baseline in H1 2026. BloombergDRAM inventory at suppliers fell from 13–17 weeks in late 2024 to just 2–4 weeks by October 2025. CRNHPE has implemented a contract stipulation allowing price adjustments until the date of shipment on server and GreenLake orders. CNNAnalysts and tech executives have warned that the memory shortage will persist well into next year. TrendForceDRAM contract prices have been revised upward to 90–95%. TrendForceNAND Flash contract prices are now expected to rise 55–60%. The RegisterOrganizations planning infrastructure refreshes or expansions may need to reassess budgets and timelines. What this means for you ## Your next refresh just got more expensive Enterprise SSD — \$/TB Q1 2025 \$80 Q1 2026 \$240 0% increase in 12 months 64 GB Server DRAM Q1 2025 \$200 Q1 2026 \$650 0% price spike in one year Supplier inventory (weeks) Late 2024 17 wks Oct 2025 2 wks 0% inventory collapse 100TB all-flash refresh (legacy vendor) Jan 2025 ~\$150K Q1 2026 ~\$250K 0% extra cost per refresh How to prepare ## You can't control the market. But, you can control your architecture. Here's how to adapt when hardware costs are volatile, vendor lock-in is expensive, and every dollar of storage budget needs to work harder. 01 Flexibility When prices move fast, your storage architecture needs to move faster. ? **All-flash was a deal. It isn't anymore.** All-flash made sense when flash was cheap. At current pricing, a well-designed hybrid architecture, with fast tier for hot data and dense tier for cold, can deliver equivalent application performance at significantly lower cost. Hybrid Pools ⏱️ **Stop paying for capacity you don't need yet.** All-flash vendors scale in large, expensive increments. Paying for capacity you don't need yet, at peak flash pricing, is a structural problem with the architecture, not just a procurement issue. No Forklift Upgrades ? **The market moves. Your architecture should too.** A hybrid architecture lets you rebalance over time. More flash when pricing is favorable, less when it isn't. All-flash locks you into whatever the market is doing at refresh time. Built-in Tiering 02 Control Control means knowing what next year costs today. ? **Predictable costs require ownership** When you own the hardware and control the platform, you set the inputs. Your storage cost is a function of your decisions — not your vendor's pricing team. Cost You Can Model ? **Refresh on your terms** Vendor-driven EOL cycles transfer the upgrade decision to someone else. The ability to refresh on your own schedule, when the economics make sense, is a meaningful budget lever. No Forced Refresh Cycles ?️ **Don't overlook the ability to leave.** Vendor lock-in was always a bad deal. In this market, it's an expensive one. When you're not locked in, that dynamic flips. The ability to leave isn't a nice-to-have. It's how you stay in control of your costs when the market isn't. No Vendor Dependency 03 Optimization The best flash optimization is needing less flash. ?️ **Inline compression + dedup** Transparent, always-on compression at the filesystem level delivers real-world 2–4× effective capacity on most workloads. The most direct hedge against flash inflation is storing more on the flash you already have. 2–4× Effective Capacity ⚡ **Smart caching with ZFS ARC** Intelligent tiering (RAM first, then a small fast cache, then bulk storage) means the expensive tier only needs to be as large as your truly hot dataset, not your total dataset. Intelligent Tiering ? **Metadata on fast, bulk on cheap** The operations that make storage feel slow are metadata lookups and small random reads. Isolating those onto a small fast device while bulk data lives on cheaper media delivers the performance profile of all-flash at a fraction of the cost. Smart Data Placement Don't wait for your next renewal ## See how you can navigate the memflation crisis. Talk to a storage architect about your next refresh. No commitment. No sales pressure. 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