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buildkit/docs/multi-platform.md
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# Building multi-platform images
| :zap: For building multi-platform images with `docker buildx`, see [the `docker buildx` documentation](https://github.com/docker/buildx#building-multi-platform-images). |
|--------------------------------------------------------------------------|
BuildKit provides built-in support for building multi-platform by setting a comma-separated list of
[platform specifiers](https://github.com/containerd/containerd/blob/v1.5.7/platforms/platforms.go#L63) as `platform` option.
```bash
buildctl build \
--frontend dockerfile.v0 \
--opt platform=linux/amd64,linux/arm64 \
--output type=image,name=docker.io/username/image,push=true \
...
```
When your build needs to run a binary for architecture that is not supported natively by your host, it gets executed using a QEMU user-mode emulator.
You do not need to set up QEMU manually in most cases.
## Troubleshooting
### Error `exec user process caused: exec format error`
You may face an error like `exec user process caused: exec format error`, mostly when you are using a third-party package of BuildKit that lacks
`buildkit-qemu-*` binaries.
In such a case, you have to download the official binary release of BuildKit from https://github.com/moby/buildkit/releases , and install
the `buildkit-qemu-*` binaries in the release archive into the `$PATH` of the host.
You may also face `exec format error` when the container contains mix of binaries for multiple architectures.
In such a case, you have to register QEMU into `/proc/sys/fs/binfmt_misc` so that the kernel can execute foreign binaries using QEMU.
QEMU is registered into `/proc/sys/fs/binfmt_misc` by default on Docker Desktop.
On other environments, the common way to register QEMU is to use `tonistiigi/binfmt` Docker image.
```bash
docker run --privileged --rm tonistiigi/binfmt --install all
```
See also [`tonistiigi/binfmt` documentation](https://github.com/tonistiigi/binfmt/).
### Builds are very slow through emulation
Running binaries made for a different architecture through a software emulation layer is much slower than running binaries natively. Therefore this approach is not recommended for CPU intensive tasks like compiling binaries. It is provided as a simple solution to build existing Dockerfiles and usually works well for common tasks like installing packages and running scripts. To get native performance for compilation steps you should modify your Dockerfile to perform cross-compilation using [predefined platform ARGs](https://docs.docker.com/engine/reference/builder/#automatic-platform-args-in-the-global-scope). Learn more from https://medium.com/@tonistiigi/faster-multi-platform-builds-dockerfile-cross-compilation-guide-part-1-ec087c719eaf . You can also use [xx](https://github.com/tonistiigi/xx) project to add cross-compilation toolchains into Dockerfiles with minimal changes.
[Docker Buildx](https://github.com/docker/buildx) also supports multi-node builders where single image can be built with multiple machines that each build components for their native architectures.