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

  • 5
    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
    Commented Dec 7, 2013 at 19:39
  • 2
    For nvidia it's the commandline tool nvidia-smi, except for the jetsons, where it is tegrastats.
    – Jus
    Commented Feb 17, 2020 at 7:49
  • 2
    For a nvidia gpu, you can use nvidia-smi -l 5, which will provide an update every 5 seconds. (Change this number to update at a different interval.)
    – mikey
    Commented Apr 13, 2021 at 11:14

12 Answers 12

  • 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

      sudo apt install radeontop

Source:GPU usage monitoring

  • 89
    Use watch nvidia-smi for real-time updates.
    – Lenar Hoyt
    Commented Nov 20, 2014 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
    Commented Jan 5, 2015 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.
    – jyalim
    Commented Feb 18, 2016 at 0:20
  • 2
    Not sure why but watch -n 1 nvidia-smi gave me real-time updates. watch nvidia-smi has a 2 sec update delay.
    – markroxor
    Commented Aug 6, 2018 at 7:58
  • 10
    sudo intel_gpu_top should give you real time updates for intel gpus.
    – George D
    Commented Aug 7, 2018 at 12:07

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

  • 13
    NOTE: Only for Nvidia Commented Apr 22, 2019 at 22:32
  • 7
    pip install gpustat Commented Sep 17, 2019 at 8:09
  • 1
    Works perfect with proprietary driver, thank you.
    – Smeterlink
    Commented Apr 26, 2021 at 12:02

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! :)

  • 1
    Nope, it doesn't seem to be installed by default. I'm using Skylake GT2 (Intel HD Graphics 520).
    – wyphan
    Commented Feb 24, 2021 at 20:54

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.




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:

  • Could you provide the steps to install conky and setup the theme to be like your Nvidia example please?
    – Tak
    Commented Jul 8, 2019 at 8:14
  • @Tak I've updated answer with installation instructions and existing links to code. Commented Jul 8, 2019 at 10:36

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
  • to launch: sudo glances

Screenshot: close-up to glances's load details

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

Screenshot: glances running

  • You also need to do pip install nvidia-ml-py3 Commented Aug 18, 2018 at 4:40
  • 1
    It also works without sudo and when istalled for user only: pip install --user glances[gpu] and then run glances. Commented May 10, 2019 at 22:10

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

  • useddedicatedgpumemory is that the tensorcores utilization?
    – Fadwa
    Commented Oct 28, 2020 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
    Commented Oct 30, 2020 at 16:41

No one mentioned the nvtop ? A nice tool similar to the htop we used to. Installation is easy, simply do:

$ sudo apt install nvtop
$ snap install nvtop

The version from snap is usually a lot newer. The attractive feature is that it shows which process uses GPU by how much. A typical screenshot looks like the following: enter image description here


I just found this command:

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

Here is a demo:

enter image description here


In my case nvidia-smi did not show the GPU load %, only the memory (guess my GTX 650 is too old).

What did work for me was the NVIDIA X Server Settings GUI app (shipped with the driver I believe). Navigate to the section named GPU 0 - (Your Model) - it shows the detailed status info of your GPU usage, updating every 2 seconds:

enter image description here


For AMD/ATi/Radeon cards on Linux Systems, CoreCtrl seems to do the job well.

I am using Ubuntu 20.04 LTS.



I'm surprised that no one mentioned this command:

watch -n 1 nvidia-smi

You must log in to answer this question.

Not the answer you're looking for? Browse other questions tagged .