Why RAM prices are up 50–90% in 2026

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 are up roughly 50–90% compared to late 2025, depending on the module and volume. 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 their 2026 HBM output is fully booked. AI buyers have locked up supply well into 2027. Samsung and Micron are in similar positions.

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 laptops and PCs with 16GB and 32GB configurations have seen noticeable price increases. Gaming PCs with 32GB+ more so.

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 20–40% total cost increases.

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:

1. 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.
2. Budget higher. For 2026 capex, add a 20–40% buffer to memory and server line items.
3. 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 12–18 months.
4. 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.
5. 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 come online in 2027–2028. Until then, AI demand for HBM is expected to continue 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.

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.