NetBSD 11 desktop on a Raspberry Pi 4

As the saying goes. Of course it runs NetBSD.

They have a nice wiki page around running on Arm which might be helpful (and subpages for the main boards).

https://wiki.netbsd.org/ports/evbarm/

I set it up on an Arm SBC last year and I have to say it did not seem as involved a process as that blog post. I hope it hasn't become more complicated.

I've been trying NetBSD 11.1 on an RPi1 these last few days.

It takes a long time to install anything and I don't expect to surf the web on it, but it's nice to have this OS as an option.

I wanted to try out openconnect-saml on it, but the install failed because of lack of RAM/swap. I have managed to run xfreerdp over openconnect on it though (FreeBSD had better performance).

> pkg_add pkgin

NetBSD noob question: what’s going on with this command? Is pkg_add not a package manager? If you already have pkg_add why do you need pkgin? I am familiar with `pkg` on FreeBSD, and `pkg_add` on OpenBSD, but they are both perfectly good enough on their own, I never wanted to install another package manager.

I think the biggest problem with many of the non-Linux open source kernels these days is high idle CPU consumption — on both real hardware, and under virtualization.

Did latest OpenBSD & Haiku recently under KVM. Idle OBSD was using around 20% CPU to do nothing. Haiku, 30%. And it’s not just a virtualization thing. Thinkpad battery test yielded similar results.

The pixel art font is so bad I can only read the code snippets

"Get Balena's Etcher (if you don't have it)"

You lost me there. Why are ppl still using this electron monstrosity when there are so many better alternatives? (Like dd, WIN32Imager, USBImager, DiskImager, etc.)?

I mean, Etcher is bigger than the entire NetBSD image, what the hell?

funny, most people, when they free up a Raspberry Pi, install Home Assistant or Pi-hole.vThis guy installs NetBSD 11.

He spends half the tutorial getting Wi-Fi working, then installs a modern desktop environment styled after a desktop environment from 1993.

next level nostalgia

Can one point me to the lines of code in the Linux kernel that contain AI slop?

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