Why RAM prices roughly doubled in 2026
Memory prices have moved sharply in 2026 because of AI datacenter demand. Here's what's happening, who's affected, and how long it's likely to last.
If you’ve quoted a laptop, a server, or a workstation in the last quarter, you’ve probably noticed that memory has gotten expensive. DRAM contract prices roughly doubled in the first quarter of 2026 alone. TrendForce had forecast a 50 to 60 percent jump and then revised it up to around 90 percent quarter over quarter, and retail has moved even harder: a 32GB DDR5 kit that was $80 to $110 in mid-2025 has been selling for $300 and up. Even older DDR4 has more than doubled, because production of it is being wound down to free capacity for the parts that pay better. This isn’t a rumor and it isn’t a short-term blip. Here’s the short version of why, written for operators who have to make purchasing decisions through it.
The supply side
Three manufacturers, Samsung, SK Hynix, and Micron, produce effectively all of the world’s DRAM. They’re all running at full capacity. The problem is that capacity is finite and can’t be added quickly. A new memory fab is a multi-year, multi-billion-dollar project, and none of the ones currently under construction come online before 2027.
The demand side
AI datacenters consume a specific kind of memory called High Bandwidth Memory (HBM), which sits directly on GPUs like NVIDIA’s H100 and B200. HBM commands much higher margins than conventional DRAM, so the manufacturers have shifted production toward it. Because HBM dies are stacked and use more silicon per bit, shifting one bit’s worth of capacity from conventional DRAM to HBM reduces the total output of conventional DRAM meaningfully.
SK Hynix has publicly stated its 2026 output (DRAM, HBM, and NAND) is effectively sold out, much of it to NVIDIA, and Micron has said the same about its HBM. AI buyers have locked up supply well into 2027. Samsung is in a similar position.
That leaves laptop RAM, server RAM, embedded systems, cars, and phones competing for the remaining capacity at higher prices.
What this means in practice
For end-user hardware. Consumer RAM has roughly tripled at retail. A 16GB DDR5 kit that was $40 is north of $100; a 32GB kit that was $90 is $300-plus. Pre-built PC and laptop prices haven’t risen by that much yet, but they’re climbing: Dell raised prices 15 to 20 percent in December 2025, Lenovo followed in January 2026, and OEMs are quietly shrinking default configs. A machine that shipped with 16GB and a 1TB SSD a year ago might ship with 8GB and 512GB now at the same price.
For servers and workstations. On-prem hardware costs are up. Many of our clients who were planning to refresh workstations or add storage in 2026 are seeing 20 to 40 percent total cost increases, more if the build is memory-heavy.
For cloud pricing. The major cloud providers buy at scale and insulate customers from short-term price spikes, but over the course of 2026 expect GPU-instance prices to creep up. Spot pricing is already volatile.
For embedded and industrial. Automotive, medical devices, and industrial automation all use meaningful amounts of memory and are affected. Vendors in those markets are quietly raising prices.
What to do if you’re buying
A short, practical list:
- Lock in pricing early if you can. Quotes that were valid for 30 days are now often valid for a week. Get purchase orders signed quickly.
- Budget higher. For 2026 capex, add a 20 to 40 percent buffer to memory and server line items.
- Reconsider cloud vs. on-prem. If you were on the fence, the higher cost of on-prem hardware shifts the math toward cloud for the next 12 to 18 months.
- Optimize what you already have. Quantization, smaller models, and batching reduce memory pressure. If you can run a 7B quantized model where you were using a 13B full-precision one, do.
- Don’t panic-buy. Prices are high but supply isn’t zero. If a vendor is pressuring you into a bigger order than you need, that’s a vendor problem.
When it resolves
Not quickly. The new fabs under construction complete in 2027 and ramp through 2028, so the relief everyone is counting on for 2027 is starting to look more like 2028. Until then, AI demand for HBM is expected to keep growing. A reasonable planning assumption is that memory prices stay elevated through 2027 and gradually normalize in 2028.
That’s a long enough window that it’s worth factoring into ongoing budgets rather than treating it as a one-time surcharge.
It’s not just memory, either. The same dynamic has hit storage; we wrote a follow-up on why SSDs got expensive too.
If you’re sizing hardware or infrastructure for a project and want a second set of eyes on the numbers, we’re happy to help.