

Check Wolf implementation for context. It’s a mess with Nvidia.
https://games-on-whales.github.io/wolf/stable/user/quickstart.html
Check Wolf implementation for context. It’s a mess with Nvidia.
https://games-on-whales.github.io/wolf/stable/user/quickstart.html
Check implementations before saying shit like that. Nvidia has historical bad open source driver support, which makes it hard for people to implement vGPU usage. They actually actively blocked us from using their cards remotely, until COVID hit. Then they gave out the code to do it. They are still limiting customer level cards usage on virtualization cases. They had to give out a toolkit for us to be able to use their cards on docker. Other cards can be accessed just by sharing dev driver files to the volume.
I guess that means SO reply guys are OG?
I forgot about that one. Does anyone remember MSDOS editor? Fun times
Please read other comments before replying.
I ended up making a script to convert them properly, from things I found on the web here and there.
https://github.com/pixelfed-glitch/brand-assets/blob/main/svgtogif.js
For resizing GIFs, I recommend imagemagick CLI tool though.
Not really, I just forget about it everytime I come back lol
Great idea, except that it has transparency…
Hey I have a contribution to OpenCV that fixes a typo… A typo that made OpenCV not build in debug for MONTHS if not YEARS on Windows. So yeah every contribution counts.
Mailserver works well but spam is a nightmare with mails, and I still don’t know if it figured it out properly.
You can check some replies here that seem to fit your issues : https://forums.developer.nvidia.com/t/565-release-feedback-discussion/310777/304
Still fresh from the oven, you might want to notify Nvidia of the issue in their forums. I think there’s still issues with memory and they might be preparing for full Vulkan support and it still need to drop in the next Mesa driver.
Nvidia driver’s version? 565.57.01 has memory leaks.
That’s me, that’s all me
Can someone explain what this really does ? The article is very lacking.
I use Cygwin in my build system so I don’t have to rewrite commands for different systems.
You are completely useless, my dear bot. The article has less words than your explanation.
I comment here because I read from a small different instance, and it seems I can comment too? Can’t you do that from lemmy.world to lemmy.ml? 🤔
Check Wolf (in my other comment), it’s the best example of GPU virtualization usage.
Otherwise you can check other docker images using GPU for computing, like jellyfin for instance, or nextcloud recognize, nextcloud memories and its transcoding instance,…