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ComputingTech

Memory prices are up, and Framework desktop PCs cost more now

The promise of upgradable PCs is colliding with a memory market spiraling out of control.

By
Shubham Sawarkar
Shubham Sawarkar's avatar
ByShubham Sawarkar
Editor-in-Chief
I’m a tech enthusiast who loves exploring gadgets, trends, and innovations. With certifications in CISCO Routing & Switching and Windows Server Administration, I bring a sharp...
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Jan 14, 2026, 4:09 AM EST
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Image: Framework Computer
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Framework’s modular desktop was supposed to be the rare PC you buy once and keep upgrading for a decade, not another casualty of the component cycle. Yet here we are: the company is quietly nudging prices up on its Framework Desktop PC because memory costs have gone off the rails, and there’s no real sign they’re coming back down any time soon.​

The change looks small on the surface. The base Framework Desktop configuration with 32GB of LPDDR5X RAM and an AMD Ryzen AI Max 385 now starts at around $1,139 instead of $1,099, a $40 bump that works out to roughly the cost of a decent game on Steam. Higher‑end builds are taking bigger hits: the 64GB tier has climbed from about $1,599 to $1,639, and the maxed‑out 128GB setup has shot from $1,999 to roughly $2,459, which is the sort of jump you actually feel in your credit card bill. Framework says it “held off as long as we could” before touching desktop pricing and insists it’s only passing along what suppliers are charging for LPDDR5X, not trying to pad margins while everyone is distracted by AI and CES headlines.​

If this sounds familiar, it’s because Framework already raised prices on its standalone RAM modules in December, warning that it was very likely to tweak memory pricing again within a month if suppliers kept hiking their quotes. Those changes weren’t subtle: one recent breakdown showed 8GB sticks jumping from about $60 to $80, 16GB going from $120 to $160, and 32GB climbing from $240 to $320, with the really big modules (like 48GB) more than doubling compared to mid‑2025. At the time, Framework stressed that it was eating part of the increase to avoid shocking customers, but also left the door wide open for future hikes as long as the DRAM crunch continued.​

What’s different now is that the problem has spilled out of the “DIY upgrades and add‑on RAM” world and into full systems. The Framework Desktop had previously been somewhat insulated; earlier statements were clear that pre‑built machines wouldn’t see immediate pricing changes even as DDR5 SO‑DIMM upgrades got more expensive. That firewall has basically collapsed. When your bill of materials includes 32GB, 64GB, or 128GB of LPDDR5X—memory that’s suddenly in the same supply pool as AI servers and high‑end phones—there’s only so much you can do before you either lose money on every box or you start tweaking MSRPs.​

The elephant in the room is AI. Over the last 18 months, DRAM makers have aggressively pivoted towards high‑bandwidth memory for GPUs and advanced LPDDR for AI‑centric CPUs, because that’s where hyperscalers are spending hundreds of billions of dollars. Each AI server can soak up spectacular amounts of RAM: traditional DDR5 for the host CPUs, stacks of HBM for accelerators, and, increasingly, LPDDR5X for power‑efficient AI‑focused chips. Analysts point out that NVIDIA alone now buys memory at the scale of a top‑tier smartphone vendor, which is wild when you remember that only a few years ago, consumer PCs and phones were the ones dictating DRAM priorities.​

That shift has consequences down the chain. Capacity that would usually feed laptop and desktop DIMMs—or the LPDDR chips soldered onto small form factor boards like the Framework Desktop’s mainboard—is being redirected into AI infrastructure, while new fabs in Texas, Korea, and Japan won’t really move the needle until 2027 or later. The result is classic textbook undersupply: demand rockets up faster than production can follow, and prices spike across almost every category of memory, from commodity DDR5 to LPDDR5X to phone‑class DRAM. Several market trackers now warn that tight DRAM supply and elevated prices are likely to stick around well into 2027, with some PC‑focused analysts quietly saying “don’t count on normal” before 2028.​

Framework is far from the only company feeling this. Raspberry Pi has already raised prices on some of its single‑board computers as RAM costs chewed into margins, which is especially painful in a product line built around “cheap but capable” boards. PC makers that ship at vastly higher volumes are flashing warning lights too: Dell has told partners to prepare for double‑digit price adjustments tied to memory, HP is planning to rejig some configurations around lower RAM capacities to keep entry pricing attractive, and Xiaomi has flagged that its phone pricing is under pressure from DRAM costs. Acer and Asus, two companies that live and die on razor‑thin margins in gaming laptops and desktops, have publicly said they’ll be passing surging memory costs straight through to consumers.​

Looking ahead to the rest of 2026, the situation doesn’t get much friendlier for buyers. Consumer PCs are getting more memory‑hungry just as RAM becomes more expensive. Windows 11 and the new wave of “AI PCs” are pushing 16GB as the new baseline, and high‑end systems that used to ship with 16GB standard are moving to 32GB or more to keep up with heavier multitasking and local AI workloads. IDC and other market watchers expect PC prices to climb another 15–20 percent in some segments in the second half of 2026 as DRAM contracts roll over at higher rates, on top of whatever vendors have already pushed through this year. In other words, the Framework Desktop getting more expensive is not an isolated blip; it’s part of a broader realignment where RAM is suddenly one of the most volatile—and most strategic—line items in a bill of materials.​

For Framework’s community, which tends to be a little more spec‑savvy and a lot more price‑sensitive than the average big‑box shopper, the frustration is understandable. This is a company that made its name by promising repairable, modular machines that let you upgrade storage, memory, CPUs, and even ports without tossing the whole laptop or desktop in a landfill. When the cost of a 32GB or 64GB module doubles in less than a year, that whole value proposition bends: yes, you can still upgrade later, but you may be paying as much for RAM as you once did for an entire entry‑level PC. Framework’s argument—that it’s just passing along supplier increases, not profiteering—rings true when you look at how widespread the hikes have become across the entire industry. But it doesn’t make the sticker shock any easier for someone who has been eyeing a 128GB build for creative work or software development.​

The awkward reality is that there are no easy fixes here. Framework is too small to throw its weight around in DRAM negotiations in the way a top‑five laptop vendor can, and even those giants are struggling to shield customers. Memory makers, meanwhile, have every incentive to prioritize AI buyers who are willing to sign fat, long‑term contracts, and to keep the market tight until those lucrative orders are satisfied. New fabs will eventually help, but building and ramping cutting‑edge DRAM plants is a multi‑year process, not something you spin up in a quarter or two because gamers and small PC brands are unhappy.​

If you’re someone who has been waiting to build or buy a high‑RAM system like the Framework Desktop, this is the uncomfortable takeaway: what you’re seeing now may be the new normal for a while. The base price creeping up by $40 is a symptom of a much bigger shift, where RAM goes from “cheap, boring commodity” to “battleground resource” in the race to build bigger AI models and faster AI PCs. Framework still offers one of the most interesting, repairable desktops on the market, and its transparency about price changes is better than the quiet, configuration‑only cuts some bigger OEMs are making. But in a world where AI data centers are effectively outbidding everyone else for memory, even the most idealistic modular PC brand can only hold the line for so long before the numbers stop working.


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