OSX-KVM VS sosumi-snap

Yes, I recently had to compile some stuff on Windows (I'm on an AMD Linux host) and VirtualBox just wouldn't start Microsoft's Windows dev VM (the one they provide for free for Virtualbox). I ended up learning how to use qemu and it works great...and as a bonus I was able to run a hackintosh (via https://github.com/kholia/OSX-KVM) and it works near flawlessly, which was something I was never able to accomplish with Virtualbox (granted I haven't tried in a few years).

I'm pretty happy with Qemu now, even if it's jsut a CLI interface. I was tempted to try the virt-* stuff, but honestly it seems like one more thing to learn so I'm going to hold off until I need something like copy/paste between VMs and can't figure it out in qemu direct.

Working on a patch to include it as a flake input instead of vendoring it in the repo, so this should no longer be true. I use the QCOW2s for OpenCore from osx-kvm that I have not figured out how to reproduce yet https://github.com/kholia/OSX-KVM/blob/master/OpenCore/OpenCore.qcow2

For almost a year, I have been coding a little project in Python intended to piggyback on the framework of kholia's OSX-KVM project, known as ultimate-macOS-KVM, or ULTMOS.

I just researched a bit, mac os x guest vm with pcie passthrough seems possible on linux.

Dropping the links below:

https://github.com/kholia/OSX-KVM

https://github.com/yoonsikp/macOS-KVM-PCI-Passthrough

VirGL is definitely an interesting project, but all one has to do to get GPU passthrough working (from a Linux QEMU host to any guest OS) is: 1.) research a cheap, secondary GPU that is natively supported by the guest OS, 2.) plug such a secondary GPU into a PCIe slot on the host and hook it up to the primary monitor with a secondary cable (D-Sub vs. DVI, etc.), 3.) setup Linux to ignore the secondary GPU at boot and configure a QEMU VM for the GPU passthrough. The whole process takes perhaps one or two hours and as works flawlessly, with no stability issues. (Switching across the two GPU cables can be accomplished in software by using Display Data Channel /DDC/ utilities and switching keyboard/mouse can be accomplished by using evdev /event device/ passthrough.) More information: https://github.com/kholia/OSX-KVM/blob/master/notes.md#gpu-p...

I get "verification failed" error when using https://github.com/kholia/OSX-KVM

I also see there is KVM-OSX which looks to be actively maintained, but I haven't heard anything about it.

You can use qemu/libvirt/kvm on any Linux host to run macOS pretty easily these days[1]. I run Ventura on unraid with nvidea gpu passthrough and it’s been fairly painless.

You can also run macOS in docker, but it’s ultimately running through qemu/kvm as well[2]

1. https://github.com/kholia/OSX-KVM

2. https://github.com/sickcodes/Docker-OSX

I think this could be of some use to you https://github.com/kholia/OSX-KVM

i cloned that repository

Also theres sosumi, an already packaged kvm https://github.com/popey/sosumi-snap

I’m using sosumi virtual machine in Ubuntu and got one integrated Radeon vega 11 graphics can I use that on my virtual machine to make Mac OS run better with blur and stuff if yes then pls tell me how thank u

What about this.

project

Adapted from https://github.com/popey/sosumi-snap to avoid using snap.

It is open source (https://github.com/popey/sosumi-snap).

Based on the post, one can use sosumi to run macOS on their Linux machines. So, I embarked on a journey to try and figure out how I can pull this off. I then came across this article by Logix on the Linux Uprising blog, which provides an awesome step by step guide on getting the stuff running on one's machine. I definitely suggest a read. While trying out the steps, I hit a snag, kind of a big one, my machine did not have enough space for a complete installation. I however had different partitions with enough space to accommodate the installation. The problem though, is that I didn't know how to install it in a different partition. Then came a comment by Hikmat E Ustad, providing an alternative way to install from a YouTube video he created. The video can be found here.