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

9 Answers

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 .

^{Source:GPU usage monitoring}

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

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.

FYI:

For Intel:

Install intel-gpu-tools (its likely that they are installed already)
```
sudo apt-get install intel-gpu-tools 
```
Start the top like utility with
```
sudo intel_gpu_top
```
Check your stats and then exit with Ctrl+C

Thats what you get:

Thanks @Mitch! :)

I use the following command:

nvidia-smi -l 2

and it gives me updates every 2 seconds.

Or :

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

And on AMD, use:

aticonfig --odgc --odgt

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

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

Conky

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:

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:

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:

I just found this command:

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

Here is a demo:

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: