Linux in-kernel memory compression counters high RAM prices

Rising RAM prices driven by AI data center demand are prompting Linux users to optimize existing hardware. A recent Hackaday article highlights the kernel's built-in compression features to stretch available memory. Tools like zram-tools for Debian and systemd-zram-generator for Ubuntu enable this functionality.

The surge in RAM prices, largely attributed to heightened demand from AI data centers, has made hardware upgrades costly for many. Published on January 31, 2026, a Hackaday piece titled "Surviving The RAM Price Squeeze With Linux In-Kernel Memory Compression" offers a practical solution: leveraging the Linux kernel's compressed RAM capabilities.

For Debian users, the article recommends installing and configuring zram-tools to activate these kernel facilities. This integrates with the swap-enabled virtual memory system, effectively compressing data to make better use of installed RAM. The concept has precedents, such as implementations on Raspberry Pi devices.

Ubuntu users have an alternative in systemd-zram-generator, which may already be enabled by default on Ubuntu Desktop systems. The technology traces back to developments covered in a 2013 LWN.net article on in-kernel memory compression, showing its evolution within the Linux ecosystem.

To contextualize the price pressure, the article points to memory.net, where tracking reveals that many RAM modules have increased in cost by up to four times over the past three or four months. This hack allows users to extract more performance from current setups without immediate need for new purchases, particularly useful in resource-constrained environments.

While the approach revives echoes of 1990s memory-doubling software, it aligns with modern kernel optimizations, providing a timely response to market dynamics.

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Shocked customers at a PC store gaze at tripled RAM and SSD prices amid AI shortage, with server imagery in background.
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Ram and memory prices surge due to ai shortage

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A shortage of ram and flash memory chips, driven by the ai boom, has caused prices to triple in just three months, making it a poor time to build or upgrade pcs. While gpu prices have stabilized, the rising costs affect ssds and both ddr4 and ddr5 kits, with higher-capacity options hit hardest. Manufacturers like lenovo are stockpiling components to mitigate impacts.

A ZDNet expert explains that while Linux requires less RAM than Windows, modern distributions demand more for optimal performance. Ubuntu's minimum is 4GB, but experts recommend at least 16GB for everyday tasks. Higher amounts like 32GB ensure smooth multitasking and future-proofing.

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Phoronix has reported on updated Linux patches aimed at managing out-of-memory behavior through BPF technology. These developments focus on improving how the Linux kernel handles memory shortages. The updates are part of ongoing efforts in open-source Linux advancements.

The International Data Corporation (IDC) has warned of a potential downturn in the PC market, predicting shipments could drop by 8.9 percent in 2026 due to escalating memory prices driven by AI demands. Memory manufacturers are prioritizing AI data center components over consumer electronics, pushing up costs for PCs and smartphones alike. Companies like Framework have already raised prices, with further increases likely.

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Custom PC builder Maingear has introduced a BYO RAM program to address the ongoing computer memory shortage. Customers can supply their own DDR5 RAM, which Maingear will install and test in built-to-order systems. The initiative comes as data center demands strain global RAM supplies.

The latest update to the Resources system monitor for Linux introduces support for tracking AMD Neural Processing Unit performance. This allows users to monitor Ryzen AI hardware alongside other system resources in real time. The release also includes refinements to memory reporting and reduced CPU overhead.

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Intel's Cache Aware Scheduling feature for the Linux kernel has shown performance gains on Xeon 6 Granite Rapids processors. Engineers developed this functionality to optimize task placement on multi-cache systems. Benchmarks on a dual Xeon setup demonstrate benefits across various workloads.

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