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The Beelink S13, a modest Intel N150 mini PC that sold for $169 in August 2025, now commands $269 on Amazon. As of January 2026, a fully-equipped GMKtec N100 mini PC and a comparable Raspberry Pi 5 setup both cost around $247. The cause is memory, specifically the DRAM chips in every computer, which have seen prices jump 171% year-over-year by the third quarter of 2025.
Neither platform offers a clear budget advantage in the home lab anymore. The math that once made single-board computers the obvious affordable choice, and later made N100 mini PCs the value kings, no longer separates them. Both options now represent a significant investment, forcing hobbyists to make decisions based purely on use case rather than price. For many, the answer increasingly lies elsewhere: in the used hardware market.
AI Demand Broke the Memory Market
Modern AI data centers consume enormous amounts of memory, both conventional DRAM for CPUs and the specialized high-bandwidth memory that lives on GPUs. When NVIDIA and its competitors started building out the infrastructure to power every company’s AI ambitions, they triggered a demand surge that the memory industry wasn’t prepared to meet.
DRAM contract prices increased 171.8% year-over-year by the third quarter of 2025, a price increase that actually outpaced gold during the same period. In September 2025, a 16GB DDR5 chip traded at roughly $6.84. By late December, that same chip cost $27.20, representing a nearly 300% increase in just three months. Team Group’s general manager Gerry Chen warned that this crisis has “only just started,” predicting that DRAM and NAND prices could double within a single month during 2026.
Memory manufacturers are shifting production toward datacenter-focused products because that’s where the profit margins are. Every chip destined for an AI server is a chip not going into your home lab mini PC. Goldman Sachs research suggests conventional DRAM prices could rise by double-digit percentages quarter-over-quarter throughout 2026, with normalization unlikely before 2027 or 2028 when new production capacity finally comes online. New semiconductor fabs require 2-3 years to bring online. And it’s not just data centers driving demand; consumer trends like developers running AI agents on dedicated mini PCs are adding pressure from the other end of the market.
Both platforms now cost home lab builders more up front. That 16GB of DDR5 in your mini PC, or the LPDDR4X in your Pi 5, represents a significantly larger portion of the total cost than it did a year ago.
Pi 5 and N100 Now Cost the Same
In March 2025, Jeff Geerling published an analysis showing that a GMKtec N100 mini PC at $159 offered better value than a fully-equipped Raspberry Pi 5 at $208. His testing showed that an N150-equipped mini PC delivered 1.5 to 2x the performance of a Pi 5 across various benchmarks, with High Performance Linpack results nearly doubling. At the time, the N100 was the clear winner for anyone who could use x86 architecture.
By January 2026, that same GMKtec N100 costs $246.99. A comparable Raspberry Pi 5 setup with 16GB RAM and 512GB storage runs $246.95. The price difference that once made N100 mini PCs the obvious choice is gone.
The discussion on Hacker News following these revelations captured the community’s conflicted feelings. User wpm articulated why Intel mini PCs have advantages: upgradeable storage and RAM, far superior video hardware with native M.2 support, standard x86 operating system compatibility (especially for running Linux) with a conventional boot process, and superior encoding capabilities. Another user, connorbrinton, described practical frustrations with the Pi 5’s removal of dedicated H.264 video encoding, which yielded only 2-3 frames per second in OBS, making it unsuitable for streaming applications that Pi 4 handled adequately.
The counterarguments focus on what mini PCs sacrifice. According to mrmuagi, some newer Beelink models now feature soldered RAM, eliminating the upgradeability that once distinguished them from single-board computers. Others raised security concerns about devices from lesser-known manufacturers, though even established brands have faced vulnerabilities, as tonymet pointed out. The RK3588 processors that some saw as alternatives have their own challenges. Prices there escalated from $70 to $110 across batches in bullen’s account, and dahrkael observed that Rockchip’s software compatibility remains “very low” compared to Intel alternatives.
Power Draw Favors the Pi 5 for Always-On Work
A Pi draws a fraction of the wattage of even the most efficient Intel mini PC, which matters when the machine runs continuously as a home server. Over years of operation, that efficiency shows up on the electricity bill.
Geerling’s earlier analysis calculated this difference at roughly $10 to $20 per year in power consumption. When the N100 cost $50 less upfront, that efficiency advantage didn’t matter much. But now that both platforms cost the same, that annual savings starts to add up over a multi-year deployment. For a five-year home server lifespan, power efficiency could represent $50 to $100 in total savings.
The efficiency calculation depends heavily on your use case. A Pi running Pi-hole for DNS filtering draws minimal power whether idle or under its light load. A mini PC serving as a media transcoding system or running multiple virtual machines spends more time under load, where power consumption differences grow. But if you’re running demanding workloads anyway, the mini PC completes them faster, potentially using less total energy to accomplish the same work despite higher peak consumption.
At equivalent price points, power efficiency now favors the Pi 5 for always-on, light-duty workloads. If raw performance matters more than electricity costs, the N100 still wins on performance per dollar of hardware, but not by enough to ignore the running costs.
Used Enterprise Desktops Undercut Both Platforms
Geerling’s latest analysis concludes that “the theme of 2026 is going to be repurposing used hardware.”
When both new platforms cost nearly $250, the used market suddenly looks far more attractive. A used Lenovo ThinkCentre Tiny or Dell OptiPlex Micro from a few generations back might offer the best value of all. These machines often sell for $50 to $100 depending on configuration and condition, with proven reliability and standard x86 compatibility.
Geerling suggests lower-spec alternatives for anyone committed to new hardware. The Mac Mini M4 sidesteps commodity DRAM pricing since its unified memory cost is locked in at manufacture rather than tied to upgradeable SO-DIMM modules, though at a higher starting price. The Raspberry Pi Zero 2W at $15 stays cheap, though its capability is limited to match. Various Pi clones provide alternatives at different price points, though with varying levels of software support and community resources.
The Raspberry Pi 5 makes sense for dedicated, always-on services that benefit from ARM efficiency and compact form factors, if you can justify the cost. Pi-hole, Home Assistant, small file servers, and similar workloads play to the Pi’s strengths. The ecosystem of cases, HATs, and accessories designed specifically for the Pi platform adds value that mini PCs don’t match.
For home labs that need to run virtual machines, Docker containers at scale, Windows compatibility, Linux development workflows, or any workload that benefits from x86 architecture and raw performance, the N100-class mini PCs remain capable choices. The Beelink Mini S13 and similar models deliver performance that’s excellent for the architecture, even if the price no longer reflects a budget option. You can compare current specs and pricing across models in our mini PC comparison chart.
Waiting for Cheaper Memory Is Not a Plan
Prices look set to keep climbing through mid-2026, with a significant downward correction unlikely before late 2027. TrendForce’s investigations reveal that smartphone and notebook brands are already raising product prices and reducing specifications in response to memory costs, a pattern that will continue affecting both the mini PC and single-board computer markets.
This means any decision you make today about home lab hardware will be made at historically high memory prices. Waiting for prices to drop isn’t practical when normalization is potentially two years away. The pragmatic approach is to accept current pricing as the new baseline and choose hardware based on your actual needs, or look to the used market where the memory was purchased before prices spiked.
The Raspberry Pi Foundation has responded by introducing a 1GB Pi 5 variant to maintain a sub-$50 entry point, though as Geerling notes, this offers “limited” usefulness for most home lab applications. It’s a recognition that memory prices have undercut the traditional Pi’s affordability.
New hardware at these prices is a harder sell than a last-generation ThinkCentre off eBay. For a lot of builders, the used box is the easier one to justify.
