.. _gpu:

GPU

For the moment, following GPU are supported:

NVidia (thanks to the nvidia-ml-py_ library)
AMD (only on Linux Operating system with kernel 5.14 or higher)
Intel (only on Linux Operating system)

The GPU stats are shown as a percentage of value and for the configured refresh time. It displays:

GPU usage (NVidia and AMD) or frequency (Intel)
memory consumption (NVidia and AMD)
temperature (if available)

.. image:: ../_static/gpu.png

If you click on the 6 short key, the per-GPU view is displayed:

.. image:: ../_static/pergpu.png

.. note:: You can also start Glances with the --meangpu option to display the first view by default.

You can change the threshold limits in the configuration file:

.. code-block:: ini

[gpu]
# Default processor values if not defined: 50/70/90
proc_careful=50
proc_warning=70
proc_critical=90
# Default memory values if not defined: 50/70/90
mem_careful=50
mem_warning=70
mem_critical=90
# Temperature
temperature_careful=60
temperature_warning=70
temperature_critical=80

Legend:

============== ============ GPU (PROC/MEM) Status ============== ============ <50% OK >50% CAREFUL >70% WARNING >90% CRITICAL ============== ============

.. _nvidia-ml-py: https://pypi.org/project/nvidia-ml-py/