NVIDIA's Shift To Smartphone-Style Server Memory Could Double DRAM Costs
by
Aaron Leong
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Wednesday, November 19, 2025, 10:05 AM EDT
Driven by the explosive demand for artificial intelligence, server memory could double in price by late 2026. The disruption originates from two prime sources: a recent shortage of DDR4/DDR5 legacy memory chips plus NVIDIA, the primary engine of the AI boom, pivoting its next-generation AI servers away from DDR5 memory toward LPDDR chips traditionally used in mobile devices.
It turns out that LPDDR offers superior energy efficiency and error correction handling at the CPU level crucial for hyperscale AI operations. However, NVIDIA's pivot places immense, unanticipated pressure on major memory manufacturers like Samsung, SK hynix, and Micron. As it is, these manufacturers are already focused on producing another high-value component: high-bandwidth memory (HBM), which is essential for pairing with advanced AI accelerators. The dual demands for both HBM and soon-to-be higher-volume LPDDR production have forced manufacturers to reallocate capacity, resulting in a starvation of the legacy memory market.
The immediate casualty is DRAM, the workhorse memory used across consumer computing, automotive electronics, and enterprise systems. Analysts note that the shortage has already triggered an upward price trajectory, with some industry reports indicating a staggering 171.8% year-over-year surge in prices in Q3 of this year. For PC builders, this has translated into DDR5 retail components doubling in price in a short span.
DDR5 SDRAM
Ultimately, the predicament facing the industry is structural (we'll leave the geopolitical aspect for another story). Following a global memory downturn post-2023, the semiconductor sector globally saw a period of under-investment in fabrication capabilities. The sudden, exponential demand generated by AI development has found the industry with limited flexibility to pivot quickly. Manufacturing LPDDR in the required volumes to match the needs of server infrastructure (aside from mobile devices), requires quite a bit of upheaval, i.e. new fabrication plants need to be built and/or retooling existing ones will require increased capital and will be at least a multi-year endeavor.
For now, it seems like the fallout is expected to hit the largest tech players first. Cloud service providers, AI developers, and hyperscalers, already battling rising costs for GPUs and power infrastructure upgrades, will absorb the initial shock as server memory prices escalate.
While NVIDIA’s stock continues to surge on its AI dominance, trading at elevated levels and solidifying its position among the world’s most prominent firms, its move for power efficiency is creating a bottleneck that will inflate operational costs for the entire digital economy. Thus the picture next year could be grim, folks—everything from budget phones and gaming consoles could see significant inflationary price increases.