#    build. This should also match the system you're using--you cannot build
#    the TF MacOS package from Linux.
#      Ex. linux_x86        -- x86_64 Linux platform
#      Ex. linux_x86_cuda   -- x86_64 Linux platform, with Nvidia CUDA support
#      Ex. macos_arm64      -- arm64 MacOS platform
# 3. Add modifiers. Some modifiers for local execution are:
#      Ex. disk_cache -- Use a local cache

## macOS

Use the following commands to run a standalone MinIO server on macOS.

### GNU/Linux and macOS

```sh
docker-compose pull
docker-compose up
```

or

```sh
docker stack deploy --compose-file docker-compose.yaml minio
```

### Windows

```sh
docker-compose.exe pull

## Managing hermetic Python

To make sure that TensorFlow's build is reproducible, behaves uniformly across
supported platforms (Linux, Windows, MacOS) and is properly isolated from
specifics of a local system, we rely on hermetic Python (see
[rules_python](https://github.com/bazelbuild/rules_python)) for all build
and test commands executed via Bazel. This means that your system Python
installation will be ignored during the build and Python interpreter itself

![Distributed MinIO, n nodes with m drives each](https://github.com/minio/minio/blob/master/docs/screenshots/Architecture-diagram_distributed_nm.png?raw=true)

### GNU/Linux and macOS

```sh
export MINIO_ROOT_USER=<ACCESS_KEY>
export MINIO_ROOT_PASSWORD=<SECRET_KEY>
minio server http://host{1...n}/export{1...m}
```