How to monitor and manage CPU, GPU, and RAM usage in Linux

Last update: 4th October 2026
  • Use of advanced tools such as hw-monitor and nvtop to break down VRAM consumption and GPU load by individual process.
  • Importance of the Linux kernel DRM subsystem for obtaining accurate metrics on AMD, Intel, and NVIDIA hardware.
  • Monitoring alternatives depending on the graphics card, from the console with nvidia-smi to visual interfaces like KDE Plasma.

Futuristic system monitoring interface displaying real-time CPU, GPU, and memory telemetry.

If you've ventured into the world of Linux and want complete control over your machine, you know it's not always easy to see exactly which process is hogging all the resources. Whether you're setting up a school project on Avalonia or simply want to optimize your workflow, knowing how much memory and processing power each application is using is crucial to prevent your system from crashing.

The reality is that, until recently, monitoring graphics performance was a headache because most programs only provided a general overview. However, today there are very powerful solutions that allow us to delve into the details and determine whether it's GIMP, a 3D renderer, or a background process that's driving the GPU and VRAM load.

Macro detail of RAM memory modules, illustrating the physical hardware managed by the Linux kernel.

System administrator monitoring real-time processes in a multi-pane Linux terminal.
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The qualitative leap with hw-monitor

Close-up of electronic circuits and memory chips, representing the underlying hardware architecture.

One of the most interesting new features is the arrival of hw-monitor, specifically version 0.6. What makes this tool stand out is its ability to break down GPU metrics for each active process. This is a welcome relief for those working with simulations or shader compilation, as previously they had to blindly close programs to see if the system would resume.

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To achieve this level of detail, the program relies on the Linux kernel 's DRM (Direct Rendering Manager) drivers . This layer manages access to the graphics hardware and allows hw-monitor to be compatible with a very wide range of hardware, including AMDGPU for AMD cards , Intel i915 and Xe, and the open-source Nouveau driver for NVIDIA users.

In addition to the hardware technical aspects, this tool includes very practical management of applications that start automatically using the XDG autostart standard . Thanks to this, you can clean up your startup session and remove those invisible programs that compete for graphics resources from the moment you turn on your computer.

Professional system administration environment with multiple monitors displaying Linux terminals in a dark room.
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Comparison of GPU tools

Professional computer workstation with monitor and CPU, reflecting a Linux system administration environment.

Depending on your card and how much you enjoy tinkering with the terminal, you have several options for monitoring your hardware:

  • nvidia-smi: It's the basic and straightforward tool for NVIDIA users. It allows you to see the current load, power consumption in watts, and the VRAM used by each processIf you want the data to update automatically, you can run it in a loop.
  • nvtop and nvitop: If you prefer something more visual, these tools are fantastic. nvtop offers diagrams and a clear view of CPU and GPU load simultaneously. Meanwhile, nvitop takes the interface a step furthermaking temperature and memory usage extremely accessible.
  • KDE Plasma System Monitor: For those looking for something integrated into the desktop, the KDE monitor has a very decent GPU section, although it is less accurate with VRAM compared to previous tools.
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How to obtain data in a software project

Interior of a high-performance computer with integrated display showing CPU and GPU temperature.

For those developing applications in .NET or Avalonia who need to extract this data, the key lies in accessing the information exposed by the kernel. In Linux, most of these metrics are found in the /proc filesystem or obtained through calls to DRM driver APIs. While CPU and RAM usage are easier to obtain through standard libraries, per-process GPU tracking requires interacting with vendor-specific tools or reading kernel nodes.

Having granular control over VRAM and processing load allows you to diagnose performance issues without guesswork. By combining terminal tools with visual monitors and clean management of startup services, any user can maximize the efficiency of their creative or development workstation , ensuring that the hardware is used to its full potential without overloading system memory.

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