blob: ea26e555541d93f40842142cc5b4f08583b39223 (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
|
.. _gpu:
GPU
===
For the moment, only following GPU are supported:
- NVidia (thanks to the `nvidia-ml-py`_ library)
- AMD (only on Linux Operating system with kernel 5.14 or higher)
The GPU stats are shown as a percentage of value and for the configured
refresh time. It displays:
- total GPU usage
- memory consumption
- temperature
.. 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/
|