Back to News
Market Impact: 0.35

Nvidia chip shift to smartphone-style memory to double server-memory prices by end-2026

NVDAMU
Artificial IntelligenceTrade Policy & Supply ChainTechnology & InnovationAnalyst Insights
Nvidia chip shift to smartphone-style memory to double server-memory prices by end-2026

Counterpoint Research warns that Nvidia's shift from DDR5 to LPDDR—smartphone-style low-power memory—to cut AI server power costs will create sudden, large-scale demand that the supply chain cannot easily absorb; because AI servers require many more LPDDR chips than handsets and suppliers such as Samsung, SK Hynix and Micron have already shifted capacity toward high-bandwidth memory for accelerators, Counterpoint forecasts server-memory prices could double by late 2026. The squeeze on low-end DRAM risks spreading upward as manufacturers consider diverting more factory capacity to LPDDR, and rising memory costs would raise bills for cloud providers and AI developers, further straining data-center budgets already taxed by record GPU and power spending.

Analysis

Counterpoint Research reports that Nvidia's decision to switch AI servers from DDR5 to LPDDR — the low-power memory typically used in smartphones — will significantly increase demand because AI servers require far more LPDDR chips per unit, and the firm forecasts server-memory prices could double by late 2026. The article notes that in the past two months suppliers such as Samsung, SK Hynix and Micron have already cut legacy DRAM production to prioritize high-bandwidth memory for AI accelerators, creating current shortages at the low end of the market. Counterpoint characterizes Nvidia’s pivot as making the company a customer on the scale of a major smartphone maker, a “seismic shift” that the existing supply chain cannot easily absorb, and warns that chipmakers may divert additional factory capacity to LPDDR, risking spillover tightness into advanced memory segments. This reallocation would compress supply where it is already constrained and alter manufacturers’ production mix decisions through 2026. Higher server-memory prices would directly raise costs for cloud providers and AI developers and add pressure to data‑centre budgets already strained by record GPU and power spending; market signals in the report show moderately negative sentiment toward NVDA and Micron. Nvidia is scheduled to report earnings later the same day, which could provide management guidance on memory choices and influence near-term market reactions.