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DDR5 & NAND Pricing: What Enterprise Buyers Need to Know in 2026

March 2026

Enterprise memory and storage costs are rising sharply. AI-driven demand, production constraints, and supply chain dynamics are creating pricing pressure that will persist through 2026 and into 2027. Here's what you need to know.

2x

DDR5 64GB RDIMM price forecast by end of 2026

100%+

Samsung NAND price increase QoQ (Jan 2026)

50%

Samsung production capacity expansion planned for 2026

DDR5: Prices Rising, Supply Tight

Samsung and SK Hynix are scaling up memory production capacity by approximately 50% in 2026 to address AI-driven demand. Despite this expansion, industry analysts warn that DDR5 64GB RDIMM modules — the standard for enterprise server builds — could cost twice as much by end of 2026.

The driver is straightforward: AI training and inference workloads require massive memory bandwidth. HBM (High Bandwidth Memory) production is consuming DRAM fabrication capacity that would otherwise serve the DDR5 market, creating a supply squeeze across the board.

Source: Data Center Dynamics

NAND Flash: Samsung Doubles Prices

Samsung raised NAND flash supply prices by more than 100% quarter-on-quarter in January 2026. This reflects unprecedented demand from AI data centre buildouts, where enterprise SSD requirements are increasingly crowding out client SSD supply.

For enterprise buyers, this means NVMe SSD costs will remain elevated. Organisations planning storage-heavy deployments should factor in continued pricing pressure when budgeting for 2026–2027 projects.

Source: Economy.ac

What This Means for Your Next Build

  • Lock in orders early. DDR5 and NVMe pricing will only increase through 2026. If you have approved budgets, place orders now rather than waiting.
  • Consider refurbished. Refurbished enterprise systems offer ~25% cost savings with equivalent warranty coverage — a strategic advantage when new component prices are elevated.
  • Right-size memory configurations. Over-specifying RAM is more expensive than ever. Work with your supplier to match memory population to actual workload requirements.
  • Plan storage tiers. Not every workload needs all-NVMe. Mixed strategies (NVMe for hot data, SAS/SATA for warm/cold) can significantly reduce costs without sacrificing performance where it matters.
  • Stock builds ship faster. Servero stock builds ship in 3–5 working days. Custom configurations with new components may face 4–12 week lead times.

Need Help Navigating Pricing?

Servero can advise on cost-effective configurations, refurbished alternatives, and procurement timing to help you get the most from your budget in a constrained market.

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