Using the top command in the terminal lists processes, sorted by their CPU usage (and you can change it to sort by another parameter)

Is there an equivalent for the GPU?

This fellow is asking about RAM used by GPU

  • 3
    Deppending, if you are using a radeon you can use radeontop, for nvidia there's another tool but I don't have the name at hand. – Braiam Dec 7 '13 at 19:39
  • 1
    For nvidia it's the commandline tool nvidia-smi, except for the jetsons, where it is tegrastats. – Jus Feb 17 at 7:49
  • For Nvidia GPUs there is a tool nvidia-smi that can show memory usage, GPU utilization and temperature of GPU.
  • For Intel GPU's you can use the intel-gpu-tools.
  • AMD has two options

    1. fglrx (closed source drivers):

      aticonfig --odgc --odgt
    2. And for mesa (open source drivers), you can use RadeonTop Install via the software center.

Source:GPU usage monitoring

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  • 52
    Use watch nvidia-smi for real-time updates. – Lenar Hoyt Nov 20 '14 at 22:00
  • 1
    aticonfig won't work over SSH. Claims it needs an X server running to work (there is one running). However, RadeonTop (sudo apt-get radeontop) does work with the fglrx (needs root). Hurrah! Sadly RadeonTop doesn't provide any temperature readings. – Ken Sharp Jan 5 '15 at 9:58
  • aticonfig WILL work over SSH, but an X server with tcp enabled needs to be running. This can be done by configuring lightdm via xserver-allow-tcp=true. Searching around this site with these keywords should lead to the result. – HAL 9001 Feb 18 '16 at 0:20
  • 1
    Not sure why but watch -n 1 nvidia-smi gave me real-time updates. watch nvidia-smi has a 2 sec update delay. – markroxor Aug 6 '18 at 7:58
  • 4
    sudo intel_gpu_top should give you real time updates for intel gpus. – George D Aug 7 '18 at 12:07

Nvidia: to continuously update the output of nvidia-smi, you can use nvidia-smi --loop=1 (refresh interval of 1 second) or nvidia-smi --loop-ms=1000 (refresh interval of 1000 milliseconds).

   -l SEC, --loop=SEC
       Continuously  report  query data at the specified interval, rather than
       the default of  just  once.   The  application  will  sleep  in-between
       queries.   Note  that on Linux ECC error or XID error events will print
       out during the sleep period if the -x flag was not specified.  Pressing
       Ctrl+C at any time will abort the loop, which will otherwise run indef‐
       initely.  If no argument is specified for the -l form a default  inter‐
       val of 5 seconds is used.

   -lms ms, --loop-ms=ms
       Same as -l,--loop but in milliseconds.


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You can use gpustat, which is a simple command-line script (wrapper for nvidia-smi) for querying and monitoring GPU status:

enter image description here

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For Intel:

  1. Install intel-gpu-tools (its likely that they are installed already)

    sudo apt-get install intel-gpu-tools 
  2. Start the top like utility with

    sudo intel_gpu_top
  3. Check your stats and then exit with Ctrl+C

Thats what you get:

enter image description here

Thanks @Mitch! :)

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You can use the monitoring program glances with its GPU monitoring plug-in:

  • open source
  • to install: sudo apt-get install -y python-pip; sudo pip install glances[gpu]
  • to launch: sudo glances

enter image description here

It also monitors the CPU, disk IO, disk space, network, and a few other things:

enter image description here

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  • You also need to do pip install nvidia-ml-py3 – Paul Williams Aug 18 '18 at 4:40
  • It also works without sudo and when istalled for user only: pip install --user glances[gpu] and then run glances. – Ivan Kovtun May 10 '19 at 22:10


I like to use conky as a real-time monitor for both CPU and GPU. Installation is straightforward:

sudo apt install conky

Intel i7-6700HQ iGPU HD 530

In this instance I've booted using the integrated GPU rather than the nVidia GTX 970M:

Intel GPU.gif

The conky code adapts depending on if booted with prime-select intel or prime-select nvidia:

nVidia GPU GTX 970M

In this instance I've booted using the nVidia GTX 970M rather than the integrated GPU:

nVidia GPU.GIF

Conky code

The conky code was recently modified to auto-sense the GPU. Now it doesn't have to be hand modified when rebooting to a different GPU:

# Intel iGPU |
${color orange}${hr 1}${if_existing /sys/class/drm/card0/gt_cur_freq_mhz}
${color2}${voffset 5}Intel® Skylake GT2 HD 530 iGPU @${alignr}${color green}
${execpi .001 (cat /sys/class/drm/card0/gt_cur_freq_mhz)} MHz
${color}${goto 13}Min. Freq:${goto 120}${color green}${execpi .001 (cat /sys/class/drm/card0/gt_min_freq_mhz)} MHz${color}${goto 210}Max. Freq:${alignr}${color green}${execpi .001 (cat /sys/class/drm/card0/gt_max_freq_mhz)} MHz
${color orange}${hr 1}${else}
# Nvidia GPU |
#${color orange}${hr 1}${if_match "${lsmod | grep nvidia_uvm}">""}
${color2}${voffset 5}${execpi .001 (nvidia-smi --query-gpu=gpu_name --format=csv,noheader)} ${color1}@ ${color green}${execpi .001 (nvidia-smi --query-gpu=clocks.sm --format=csv,noheader)} ${alignr}${color1}Temp: ${color green}${execpi .001 (nvidia-smi --query-gpu=temperature.gpu --format=csv,noheader)}°C
${color1}${voffset 5}Ver: ${color green}${execpi .001 (nvidia-smi --query-gpu=driver_version --format=csv,noheader)} ${color1} P-State: ${color green}${execpi .001 (nvidia-smi --query-gpu=pstate --format=csv,noheader)} ${alignr}${color1}BIOS: ${color green}${execpi .001 (nvidia-smi --query-gpu=vbios_version --format=csv,noheader)}
${color1}${voffset 5}GPU:${color green}${execpi .001 (nvidia-smi --query-gpu=utilization.gpu --format=csv,noheader)} ${color1}Ram:${color green}${execpi .001 (nvidia-smi --query-gpu=utilization.memory --format=csv,noheader)} ${color1}Pwr:${color green}${execpi .001 (nvidia-smi --query-gpu=power.draw --format=csv,noheader)} ${alignr}${color1}Freq: ${color green}${execpi .001 (nvidia-smi --query-gpu=clocks.mem --format=csv,noheader)}
${color orange}${hr 1}${endif}

Different versions of the full code listing can be found in these answers:

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  • Could you provide the steps to install conky and setup the theme to be like your Nvidia example please? – Tak Jul 8 '19 at 8:14
  • @Tak I've updated answer with installation instructions and existing links to code. – WinEunuuchs2Unix Jul 8 '19 at 10:36

I use the following command:

nvidia-smi -l 2

and it gives me updates every 2 seconds.

looks like this

Or :

watch -n0.1 "nvidia-settings -q GPUUtilization -q useddedicatedgpumemory"

And on AMD, use:

aticonfig --odgc --odgt

enter image description here

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  • useddedicatedgpumemory is that the tensorcores utilization? – Fadwa Oct 28 at 12:29
  • If you installed your nvidia driver, it's probably already installed. Take a look with whereis nvidia-smi to find its location. – bvdb Oct 30 at 16:41

I just found this command:

nvidia-smi --query-gpu=utilization.gpu --format=csv --loop=1

Here is a demo:

enter image description here

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