Estimated reading time at 200 wpm: 12 minutes
A major Linux kernel and driver upgrade cycle provides an excellent opportunity to align system configurations with hardware capabilities. Operating system defaults are typically engineered for broad compatibility, which often leaves significant performance and efficiency on the table. Following a major platform transition—such as upgrading to the Linux 7.0 kernel and installing updated graphics drivers—a series of targeted customisations can resolve latent bottlenecks, lower hardware power consumption, reclaim disk space, and establish resilient fail-safes.
Whether or not you agree our Fat Disclaimer applies
This guide outlines a comprehensive checklist of post-upgrade optimisations applied to an Arch-based desktop environment equipped with an Intel processor, an Nvidia RTX GPU, and solid-state storage. These configurations target virtual memory behaviour, graphics power draw, package management hygiene, and system logging constraints.
1. Virtual Memory Tuning (Swappiness)
Default kernel configurations frequently instruct the virtual memory subsystem to proactively swap inactive memory pages out of physical RAM and onto the storage drive. This default behaviour aims to keep a large filesystem cache free. However, on systems with high physical RAM capacity, this conservative approach can introduce unnecessary disk latency and cause application micro-stutters when background processes are recalled.
Technical Rationale
Lowering the kernel’s swappiness parameter forces the system to utilise high-speed physical RAM modules first. The swap space is treated as an emergency buffer rather than a routine parking space. This prioritisation is especially vital when running local Artificial Intelligence (AI) models, where model layers must remain fully resident in hardware memory to prevent catastrophic token-generation slowdowns.
Implementation and Verification
To query the active swappiness value:
cat /proc/sys/vm/swappiness
To permanently configure the kernel swappiness to a value of 10 (forcing RAM utilisation up to approximately 90% before disk swapping is initiated):
echo "vm.swappiness=10" | sudo tee /etc/sysctl.d/99-swappiness.conf
To apply the configuration immediately without requiring a system reboot:
sudo sysctl --system
2. Graphics Card Idle Power States
Graphics drivers can occasionally fail to downclock or settle into low-power states following a major system update, especially when paired with high-refresh-rate displays. This locks the GPU into high-performance states (P0 or P2), resulting in continuous, unnecessary power draw and excessive heat generation.
Technical Rationale
A modern high-end GPU should settle into its lowest performance profile (P8) when displaying a static desktop. Monitoring performance states (P-states) and clock frequencies allows administrators to identify driver hangs or incorrect power configurations.
Diagnostic Command
To query the live power draw, performance state, memory clock, and graphics core clock of the Nvidia GPU:
nvidia-smi --query-gpu=power.draw,pstate,clocks.mem,clocks.gr --format=csv
If the card is drawing excess wattage (e.g., >100W at idle), the power management mode can be adjusted via the graphical configuration tool:
nvidia-settings
Within the PowerMizer panel, switching the Preferred Mode from Prefer Maximum Performance to Adaptive or Auto allows the driver to downclock the card dynamically, reducing idle power consumption to a baseline of approximately 30W.
3. Storage Cache and Download Directory Remediation
The pacman package manager archives previously downloaded installation packages in /var/cache/pacman/pkg/ to facilitate local downgrades. Over a long operational history, or after a massive update cycle, this directory can accumulate tens of gigabytes of obsolete data. Furthermore, interrupted download routines can leave empty sandboxed folders that crash built-in clean-up scripts.
Technical Rationale
Purging the package cache of older, uninstalled versions reclaims storage space while preserving the packages that are currently active on the system. Pre-emptively deleting empty, orphaned download directories resolves file descriptor errors (e.g., Error reading fd 7) that stall automatic package manager maintenance.
Implementation
To check the physical space occupied by the package cache:
du -sh /var/cache/pacman/pkg/
To clear out stray download directories that may block clean-up scripts:
sudo rm -rf /var/cache/pacman/pkg/download-*
To execute the standard cache pruning process, removing all cached package archives except those corresponding to currently installed software:
sudo pacman -Sc
4. Solid-State Drive Maintenance (TRIM)
Unlike mechanical drives, solid-state drives (SSDs) write data in blocks but must erase them in larger pages. When files are deleted, the operating system marks the sectors as free, but the SSD controller remains unaware of this change until it attempts to write new data to those blocks. This leads to write-amplification and write-performance degradation over time.
Technical Rationale
The TRIM command allows the operating system to inform the SSD which blocks of data are no longer considered in use. Automating this clean-up once a week via systemd ensures the SSD maintains its factory-specified write speeds without manual intervention.
Implementation and Verification
To verify the current status of the weekly TRIM timer:
systemctl status fstrim.timer
To enable the timer and configure it to run automatically at system boot:
sudo systemctl enable --now fstrim.timer
5. High-Speed Memory Compression (Zswap)
Even with swappiness set to a highly conservative value of 10, systems may still occasionally exceed their physical RAM capacity during extreme multi-tasking or heavy AI local workflows.
Technical Rationale
Zswap acts as an ultra-fast intermediate cache sitting in front of the physical swap drive. When the system is forced to move memory pages to swap, Zswap intercepts them, compresses them using high-efficiency algorithms like zstd, and stores them in a dynamically allocated pool within system RAM. This prevents the slow bottlenecks associated with writing directly to physical storage drives.
Implementation and Verification
To verify the current status and active compressor of Zswap:
grep -H . /sys/module/zswap/parameters/{enabled,compressor}
To enable Zswap immediately and ensure this behaviour persists across system boots:
echo Y | sudo tee /sys/module/zswap/parameters/enabled && echo "w /sys/module/zswap/parameters/enabled - - - - Y" | sudo tee /etc/tmpfiles.d/zswap.conf
6. System Log Growth Control
Systemd’s journal service records standard output, system errors, and diagnostic information from all active system services. Following a transition to a major mainline kernel, verbose diagnostic outputs can cause these log files to expand rapidly, consuming gigabytes of system storage.
Technical Rationale
Establishing a strict maximum size limit for the systemd journal protects storage drives from unexpected space exhaustion, while still retaining more than enough historical data for troubleshooting desktop events.
Implementation and Verification
To check the storage space currently consumed by active and archived journals:
journalctl --disk-usage
To establish a hard limit of 100MB on the journal directory, create a override configuration file and restart the logging daemon:
sudo mkdir -p /etc/systemd/journald.conf.d
echo -e "[Journal]\nSystemMaxUse=100M" | sudo tee /etc/systemd/journald.conf.d/00-journal-size.conf
sudo systemctl restart systemd-journald
7. Package Database Hygiene (Orphans)
System update pipelines pull in various helper tools, header libraries, and compiler packages to build or update primary applications. Once those installations are complete, or when software is uninstalled, these dependency packages remain in the system database as “orphans”.
Technical Rationale
Removing orphaned packages keeps the package manager database lean, reduces the time required for subsequent system syncs, and removes dead binaries and libraries from the storage drive.
Implementation and Verification
To query the database for unneeded dependency packages:
pacman -Qdt
To recursively prune all detected orphaned packages, along with their configuration files:
sudo pacman -Rns $(pacman -Qdtq)
8. Processor Frequency Scaling
The modern Intel CPU driver (intel_pstate) controls how the processor balances core power draw against active processing frequencies.
Technical Rationale
The intel_pstate driver uses the powersave governor as a highly reactive, balanced profile. Rather than locking the CPU at its lowest clock speed, it permits the hardware to scale instantly to full turbo frequencies under load, and then aggressively downclocks the cores to idle voltages when processing completes.
Verification Command
To confirm that the optimal dynamic scaling driver and governor are active on the primary CPU core:
grep -H . /sys/devices/system/cpu/cpu0/cpufreq/scaling_{driver,governor}
If the output confirms the use of intel_pstate and powersave, the system is configured correctly to balance immediate responsiveness with low idle temperatures.
9. Post-Cleanup Graphics Driver Recovery
Hardware optimisation routines do not always occur in isolation. When modifying low-level packages, the human experience of managing a system can quickly shift from routine configuration to active crisis management when underlying driver links break.
The Human Experience: Distorted Fallback and Desktop Scale Shock
The issue manifested immediately following a standard maintenance reboot. Expecting a fast, crisp login screen after a successful system prune, the user was instead confronted by severe visual distortion. The entire desktop interface was stretched horizontally to an unusable degree, presenting a low-resolution display compressed into a 1024×768 layout with a 4:3 aspect ratio. Text was blurry, UI elements were warped, and the system settings panel offered no options to select widescreen resolutions or restore native monitor dimensions.
The visual shock evolved into a secondary frustration immediately after the initial driver recovery. Upon restoring the display driver, the system successfully regained its native widescreen resolution, but the desktop environment (KDE Plasma) failed to adjust its scale on the fly. The user was left with a microscopic interface where panels, text, application windows, and taskbar icons were too small to read or interact with. Attempting to adjust the global display scale slider between 150% and 300% yielded almost no visible change. The interface remained frozen in this miniature state, requiring a targeted reload of the display server before the desktop could be restored to a legible, functional size.
What May Have Happened: The Disconnected Kernel Handshake
The root cause of this disruption traces directly back to the package pruning routine in Section 7. While the database cleanup was highly effective at freeing disk space, it operated under a critical blind spot: the classification of dependency flags.
Because the GPU driver stack, its dynamic links, and the kernel headers had been pulled in during an earlier manual upgrade process, they were not explicitly flagged as “user-installed” packages in the package database. When the automated pruning script searched for orphaned dependencies, it misidentified these crucial components—including linux-nvidia-open-meta, linux-headers-meta, and the hardware helper configuration profile mhwd-nvidia-575xx—as obsolete files.
Once the system purged these components, the underlying “handshake” between the newly upgraded 7.0 kernel and the physical RTX 3080 GPU was completely severed. On reboot, the bootloader found no compiled kernel modules to run the graphics card. Unable to load the proprietary Nvidia drivers, the operating system reverted to a safe, bare-minimum framebuffer fallback driver, stripping the desktop of its widescreen capabilities.
Diagnostic Strategy and Command Rationale
Faced with a warped, low-resolution interface, we avoided guesswork and pursued a structured diagnostic strategy to identify exactly where the hardware-to-software link had broken.
To begin, we queried the live display server and windowing system to see if the system was actively trapped in a fallback state:
echo $XDG_SESSION_TYPE
xrandr --current
Rationale: This allowed us to verify if the desktop session was running under X11 or Wayland, and confirmed that the display manager was hard-locked into a 1024×768 resolution baseline, proving that the monitor’s EDID information was being ignored.
Next, we interrogated the Nvidia System Management Interface to check the health of the GPU core:
nvidia-smi
Rationale: If the driver were active but misconfigured, this command would output the running temperature, memory usage, and driver version. Because the underlying files were gone, this returned a direct error indicating that the driver could not communicate with the graphics card, proving the kernel module was missing.
We then checked the status of the system’s built-in hardware manager:
mhwd -li
Rationale: We needed to understand why the automated hardware configuration tool hadn’t corrected the issue. The output showed that the system still believed the video-nvidia profile was fully active. This was a critical finding: because the high-level configuration profile was registered as “installed”, the system’s automated repair scripts were skipping over it, unaware that the physical driver files had been deleted.
Finally, we queried the active package database to see exactly what files remained on the system drive:
pacman -Qs nvidia
Rationale: This let us audit the package database, confirming that while some high-level configuration scripts were intact, the physical kernel headers and compilation libraries required to build the Nvidia kernel modules had been entirely uninstalled.
The Solution: Manual Override and Re-alignment
Because the hardware detection tool (mhwd) falsely reported that the drivers were already configured, we had to bypass automatic scripts and use the package manager to force the correct kernel modules and compilers back onto the system.
The missing links were restored by running the following command:
sudo pacman -S linux-meta linux-headers-meta linux-nvidia-open-meta mhwd-nvidia-575xx
Why this worked: Directly installing these meta-packages bypassed the confused hardware detection manager. The installation process immediately triggered the package manager’s post-transaction system hooks. These hooks automatically detected the active 7.0 kernel, invoked the kernel module builder, and compiled the necessary dynamic kernel modules (dkms) specifically for your RTX 3080.
Once the installation was complete, issuing a reboot command resolved the initial driver lock:
reboot
Upon restart, the kernel successfully loaded the latest 595.71.05 production Nvidia driver, restoring the native widescreen resolution. The secondary issue—where everything appeared microscopic—occurred because the display server needed a clean session initialisation to recalculate the scaling coordinates. Once the second reboot completed, the display manager correctly read the global scaling factor, restoring the desktop, panels, and text to their intended proportions.
Conclusion
Applying these adjustments turns a generic, broad-compatibility OS configuration into a setup that respects the physical limits and raw speeds of the underlying hardware.
On the hardware side, the desktop’s idle baseline is far more efficient. Allowing the graphics card to settle into its low-power state drops energy consumption by roughly 70W, which means less heat and fewer active fans during light use. The processor is configured to scale instantly when a task demands it, avoiding power waste at idle while preserving its capacity to handle intensive data pipelines.
For memory and storage, the changes keep the machine both lean and resilient. The diagnostic and clean-up steps implemented on this live system resulted in reclaiming over 8 GB of storage space, composed of approximately 7.4 GB from purging obsolete package caches and 667.59 MiB from pruning 44 orphaned packages. Combined with a systemd journal log cap and automated solid-state drive TRIM routines, the filesystem is secured against creeping bloat. By prioritising the physical 15GiB of RAM and using compressed Zswap as a rapid-access overflow buffer, the operating system is ready to maintain its fast response times, ensuring local AI models and heavy applications stay stable under load.
