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.. _gpu:
GPU
===
.. note::
You need to install the `nvidia-ml-py`_ library on your system.
Or `py3nvml`_ for Glances 3.4.0.2 or lower.
Or `nvidia-ml-py3`_ for Glances 3.1.3 or lower.
The GPU stats are shown as a percentage of value and for the configured
refresh time. It displays:
- total GPU usage
- memory consumption
- temperature (Glances 3.1.4 or higher)
.. 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
Legend:
============== ============
GPU (PROC/MEM) Status
============== ============
``<50%`` ``OK``
``>50%`` ``CAREFUL``
``>70%`` ``WARNING``
``>90%`` ``CRITICAL``
============== ============
.. _nvidia-ml-py: https://pypi.org/project/nvidia-ml-py/
.. _py3nvml: https://pypi.org/project/py3nvml/
.. _nvidia-ml-py3: https://pypi.org/project/nvidia-ml-py3/
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