Intel-on-ARM and ARM-on-Intel
Lima supports several modes for running Intel-on-ARM and ARM-on-Intel:
Slow mode: Intel VM on ARM Host / ARM VM on Intel Host
| ⚡ Requirement | QEMU, lima-additional-guestagents |
|---|
Lima can run a VM with a foreign architecture, using QEMU.
For port forwarding, the lima-additional-guestagents package has to be installed on the host.
An example configuration:
limactl start --vm-type=qemu --arch=x86_64 --plain
See the YAML tab for the explanation of the corresponding CLI flags.
# Starting with Lima v2.0, `vmType` has to be expclitly set to "qemu" on non-Linux hosts.
vmType: "qemu"
# Supported architectures:
# Non-experimental: aarch64, x86_64
# Experimental: armv7l, ppc64le, riscv64, s390x
#
# containerd is not automatically installed for the experimental architectures.
arch: "x86_64"
# A slow host may need `plain` to disable mounts, port forwards, and containerd, so as to avoid timeout.
plain: true
base:
- template://_images/ubuntu
Running a VM with a foreign architecture is extremely slow. Consider using Fast mode or Fast mode 2 whenever possible.
Fast mode: Intel containers on ARM VM on ARM Host / ARM containers on Intel VM on Intel Host
This mode uses QEMU User Mode Emulation. QEMU User Mode Emulation is significantly faster than QEMU System Mode Emulation, but it often sacrifices compatibility.
Set up:
lima sudo systemctl start containerd
lima sudo nerdctl run --privileged --rm tonistiigi/binfmt:qemu-v10.0.4-56@sha256:30cc9a4d03765acac9be2ed0afc23af1ad018aed2c28ea4be8c2eb9afe03fbd1 --install all
Run containers:
$ lima nerdctl run --platform=amd64 --rm alpine uname -m
x86_64
$ lima nerdctl run --platform=arm64 --rm alpine uname -m
aarch64
Build and push container images:
$ lima nerdctl build --platform=amd64,arm64 -t example.com/foo:latest .
$ lima nerdctl push --all-platforms example.com/foo:latest
See also https://github.com/containerd/nerdctl/blob/main/docs/multi-platform.md
Fast mode 2 (Rosetta): Intel containers on ARM VM on ARM Host
| ⚡ Requirement | Lima >= 0.14, macOS >= 13.0, ARM |
|---|
Rosetta is known to be much faster than QEMU User Mode Emulation. Rosetta is available for VZ instances on ARM hosts.
limactl start --vm-type=vz --rosetta
vmType: "vz"
rosetta:
# Enable Rosetta for Linux.
# Hint: try `softwareupdate --install-rosetta` if Lima gets stuck at `Installing rosetta...`
enabled: true
# Register rosetta to /proc/sys/fs/binfmt_misc
binfmt: true
Enable Rosetta AOT Caching with CDI spec
| ⚡ Requirement | Lima >= 2.0, macOS >= 14.0, ARM |
|---|
Rosetta AOT Caching speeds up containers by saving translated binaries, so they don’t need to be translated again.
Learn more: WWDC2023 video
How to use Rosetta AOT Caching:
Run a container:
Add--device=lima-vm.io/rosetta=cachedto yourdocker runcommand:docker run --platform=linux/amd64 --device=lima-vm.io/rosetta=cached ...Build an image:
Add# syntax=docker/dockerfile:1-labsat the top of your Dockerfile to enable the--deviceoption.
Use--device=lima-vm.io/rosetta=cachedin yourRUNcommand:# syntax=docker/dockerfile:1-labs FROM ... ... RUN --device=lima-vm.io/rosetta=cached <your amd64 command>Check if caching works:
Look for cache files in the VM:limactl shell {{.Name}} ls -la /var/cache/rosettad docker run --platform linux/amd64 --device=lima-vm.io/rosetta=cached ubuntu echo hello limactl shell {{.Name}} ls -la /var/cache/rosettad # You should see *.aotcache files hereCheck if Docker recognizes the CDI device:
Look for CDI info in the output ofdocker info:docker info ... CDI spec directories: /etc/cdi /var/run/cdi Discovered Devices: cdi: lima-vm.io/rosetta=cachedLearn more about CDI:
CDI spec documentation