This shows a virtual machine that runs on Apple Silicon at virtually native speeds because it uses Apple's own VM toolkit. I don't know enough about Linux to tell whether this is all good or bad so it would be great to see one of the experts here tell me if this is useful or not. It is free for someone running one machine on one CPU.
If Rosetta goes away in a few years, I would much rather switch to OXT running under a Linux VM on my M1 Studio that messing about with anything related to Windows.
Please take a look and tell me if I have hold of the wrong end of the stick.
Cheers
VM images¶
The following macOS images are currently available:
macOS 14 (Sonoma)
ghcr.io/cirruslabs/macos-sonoma-vanilla:latest
ghcr.io/cirruslabs/macos-sonoma-base:latest
ghcr.io/cirruslabs/macos-sonoma-xcode:latest
macOS 13 (Ventura)
ghcr.io/cirruslabs/macos-ventura-vanilla:latest
ghcr.io/cirruslabs/macos-ventura-base:latest
ghcr.io/cirruslabs/macos-ventura-xcode:latest
macOS 12 (Monterey)
ghcr.io/cirruslabs/macos-monterey-vanilla:latest
ghcr.io/cirruslabs/macos-monterey-base:latest
ghcr.io/cirruslabs/macos-monterey-xcode:latest
There's also a full list of images in which you can discovery specific tags (e.g. ghcr.io/cirruslabs/macos-monterey-xcode:15) and macOS-specific Packer templates that were used to generate these images.
For, Linux the options are as follows:
Ubuntu
ghcr.io/cirruslabs/ubuntu:latest
Debian
ghcr.io/cirruslabs/debian:latest
Fedora
ghcr.io/cirruslabs/fedora:latest
These Linux images can be ran natively on Vetu, our virtualization solution for Linux, assuming that Vetu itself is running on an arm64 machine.
Similarly to macOS, there's also a full list of images in which you can discovery specific tags (e.g. ghcr.io/cirruslabs/ubuntu:22.04) and Linux-specific Packer templates that were used to generate these images.