<div dir="auto"><div><br><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">сб, 27 мая 2023 г., 17:53 Terje J. Hanssen <<a href="mailto:terjejhanssen@gmail.com">terjejhanssen@gmail.com</a>>:<br></div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
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<div>Den 27.05.2023 12:05, skrev Andrea paz:<br>
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<pre>@Terje J. Hanssen
Noveau are very limiting and problematic (through no fault of those
who make them, who do a very good job).
If you have a fairly recent Nvidia you can try using the official open
drivers: nvidia-open.
With these drivers Nvidia equalizes with AMD. However, don't think
they are completely open: just like AMD, they have brought the parts
they want to keep closed into the firmware and leave only the open
parts in the driver.
For more information and a list of supported cards, see:
<a href="https://github.com/NVIDIA/open-gpu-kernel-modules" target="_blank" rel="noreferrer">https://github.com/NVIDIA/open-gpu-kernel-modules</a>
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@Andrea<br>
<br>
My legacy Nvidia card was not high-end, but it still works for me
with Nouveau/Mesa for normal work without heavy graphical tasks.<br>
Previously I also used Nvidia's proprietary driver, which was (and
still is) quite easy to install via their specific openSUSE
repositories. <br>
<br>
But as I continuously upgrade my lp15.x and especially the
Tumbleweed rolling release in a dual-boot setup, it became extra
work and more error prone to keep up with Nvidia. Therefore I went
with Nouveau as part of the official openSUSE lp15.x stablel and tw
rolling releases:<br>
<br>
<font face="monospace"># inxi -SCMG<br>
System: Host: localhost.localdomain Kernel:
5.14.21-150400.24.63-default x86_64 bits: 64 Desktop: GNOME 41.9<br>
Distro: openSUSE Leap 15.4<br>
Machine: Type: Desktop System: MSI product: MS-7971 v: 1.0
serial: N/A<br>
Mobo: MSI model: Z170-A PRO (MS-7971) v: 1.0 serial:
GC16013847 UEFI: American Megatrends v: 1.K0 date: 07/10/2018<br>
CPU: Info: Quad Core model: Intel Core i7-6700K bits: 64
type: MT MCP cache: L2: 8 MiB<br>
Speed: 800 MHz min/max: 800/4200 MHz Core speeds (MHz):
1: 800 2: 800 3: 800 4: 800 5: 800 6: 800 7: 800 8: 800<br>
Graphics: Device-1: NVIDIA GK208B [GeForce GT 730] </font></div></blockquote></div></div><div dir="auto"><br></div><div dir="auto">sounds reclock-able!</div><div dir="auto"><br></div><div dir="auto"><a href="https://github.com/ventureoo/nouveau-reclocking">https://github.com/ventureoo/nouveau-reclocking</a><br></div><div dir="auto"><br></div><div dir="auto">with additional links in readme ...</div><div dir="auto"><br></div><div dir="auto">well, warning, may _increase_ instability due to higher power usage/thermal output ....</div><div dir="auto"><br></div><div dir="auto"><br></div><div dir="auto"><br></div><div dir="auto"><div class="gmail_quote"><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div><font face="monospace">driver:
nouveau v: kernel<br>
Device-2: Microdia Camera type: USB driver:
snd-usb-audio,uvcvideo<br>
Device-3: MACROSILICON USB3.0 UHD type: USB driver:
hid-generic,snd-usb-audio,usbhid,uvcvideo<br>
Display: server: X.Org 1.20.3 driver: loaded: nouveau
unloaded: fbdev,modesetting,vesa resolution: 2560x1440~60Hz<br>
OpenGL: renderer: NV106 v: 4.3 Mesa 21.2.4<br>
<br>
<br>
<br>
<font face="Courier New, Courier, monospace">Packages I have
installed in additional for Nvidia are<br>
<br>
<font face="monospace">S | Name |
Summary |
Type<br>
---+---------------------------+-------------------------------------------------------------+--------<br>
i | kernel-firmware-nvidia | Kernel firmware files for
Nvidia Tegra and graphics drivers | package<br>
i+ | nvidia-firmware-installer | Downloads and installs nVidia
firmware | package<br>
<br>
<br>
</font></font></font><br>
I have so far not tried NVIDIA Open GPU kernel modules, which
according to this openSUSe blog seemingly work for Nvidias newer
Turing/Ampere GPU platforms with Risc-V system processor. <br>
<a href="https://sndirsch.github.io/nvidia/2022/06/07/nvidia-opengpu.html" target="_blank" rel="noreferrer">https://sndirsch.github.io/nvidia/2022/06/07/nvidia-opengpu.html</a><br>
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