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NAND prices hit decade high as Samsung, SK hynix shift to AI

South Korea’s Samsung Electronics and SK hynix are shifting NAND production toward high-bandwidth memory for AI applications, causing a 64.8% price rise last month, per TrendForce.

In January, contract prices for 128Gb NAND hit US$9.5, the highest in over a decade.

Samsung’s wafer output is expected to drop from 4.9 million in 2025 to 4.7 million this year, while SK hynix’s falls from 1.9 million to 1.7 million wafers.

This cutback supports focus on AI accelerator memory despite rising NAND prices.

Analysts project global NAND revenue to reach US$147.3 billion in 2026, more than double 2025.

Nvidia’s next-generation Vera Rubin accelerator could drive up to 10% of global NAND demand by 2027 due to much higher SSD requirements.

🔗 Source: Yonhap

🧠 Food for thought

Implications, context, and why it matters.

NAND prices are rising as chipmakers cut supply and chase better margins

  • Samsung and SK hynix have trimmed wafer output, moving capacity away from commodity NAND toward memory used in AI systems, with profit taking priority over adding enough supply to cover all demand 1.
  • Memory makers are also winding down older lines such as DDR4 memory (an older generation of DRAM used widely in PCs and servers) and legacy multi-level cell (MLC) NAND, then putting more effort into higher-margin enterprise and AI products 2.
  • Capital spending is increasing, yet much of it goes to process upgrades for advanced parts like High Bandwidth Memory (HBM) rather than adding wafer capacity. TrendForce expects limited bit supply growth impact in 2026 3.

AI-driven memory shifts are squeezing consumer supply and changing deal terms

  • More production aimed at AI memory leaves less commodity memory for consumer electronics, which could lift retail PC prices by 20% or more in 2026 4.
  • Suppliers now hold more leverage, with major electronics companies and data center operators reportedly considering 2–3 year mid-to-long-term contracts to lock in memory supply 5.
  • Strong profits are paying for new lines such as SK hynix’s custom HBM and “AI-DRAM” (AI-D), pointing to a longer shift toward tailored memory for AI workloads 6.

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