Leaving FreeBSD with broken heart

Alain De Vos said:
freebsd-nvidia-cuda ... problems.
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Can FreeBSD not use CUDA for compute at all with NVIDIA GPUs today?

FreeBSD might have been pretty cool back with GPU coin mining (or at least when I was into it :p); lighter in-general and better CPU perf at the base OS would sound appealing for quick set-ups.
 
Why are we over 50 posts in this thread? OP decides FreeBSD doesn't work for them, ok fine. Don't use it. Why be dramatic about "leaving FreeBSD".

I've never understood threads like this. If one decides that a Ford automobile does not meet their needs, does one announce "I'm leaving Ford for Chevy?" No, you just go buy a new car.
 
mer said:
Why are we over 50 posts in this thread? OP decides FreeBSD doesn't work for them, ok fine. Don't use it. Why be dramatic about "leaving FreeBSD".

I've never understood threads like this. If one decides that a Ford automobile does not meet their needs, does one announce "I'm leaving Ford for Chevy?" No, you just go buy a new car.
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I can as well say that I left all other car brands for BMW :P
 
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cracauer@ said:
As mentioned in this thread, the right combination of FreeBSD drivers and Linux libs makes you able to run Linux CUDA binaries in the Linuxulator.

Building CUDA programs in the Linuxulator is probably no problem.
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This is why (even though I myself don't use it, just installed for confirmation) I'm keeping x11/linux-nvidia-libs* in sync with corresponding x11/nvidia-driver* when filing PR / opening review for upgrading x11/nvidia-driver*, in conjunction with graphics/nvidia-drm*-kmod*, x11/nvidia-settings and x11/nvidia-xconfig.
 
To only cuda-nvidia i could get to work was debian-tensorflow.
Or some freebsd-ollama models.
Strange everything other failes.
scikit-learn, or torch not able to nvidia-cuda to work on any o.s.
 
startrooper said:
Good morning FreeBSD community!

I am traditionally a Linux user and moved to FreeBSD a little more than a year, and man.... I loved it! It is some of those moments we say "how have a lived until now without it?".
But it is with broken heart that I am planning to move back to Linux as I currently have a urge to expedite my competences in ML/AI and the lack of CUDA integration by NVIDIA
has been a obstacle difficult to get around. I thought hard about dual boots and VMs, but I have a HW with limited capacity to start with.

Anyhow! I may be leaving but I joined this forum to remain tightened to FreeBSD looking forward to make a comeback!

Cheers!
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I currently have to use Windows. (We are moving, and initially will have just our laptops, and I am having problems with hardware support on the laptop.) But since I have moved almost completely to open-source apps, moving back and forth between FreeBSD and Windows is not so bad.

I have an MSI CUBI 5, a small, fanless computer, running FreeBSD. It will be my daily driver once we are settled in, and I use it from time to time to stay in practice.

I also want to use CUDA, in my case parallel processing with CUDA Fortran. For that I will need Linux, since it does not run on FreeBSD and, IIRC, does not run on Windows. That will be on my big, power-hungry Windows machine (the one with the NVIDIA GPU), which will be dual booting Linux.

That may be your answer, if you have the resources: a small FreeBSD computer for day to day stuff, and a Linux system with the NVIDIA GPU for ML stuff.
 
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