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EnglishWhat is Tart Virtualization?
Updated
Tart is a virtualization toolset for building, running, and managing macOS and Linux virtual machines on Apple Silicon. It is aimed at developers and teams who need fast, locally native VMs and who want those VMs to plug into existing automation, CI, and remote storage workflows. If you are running Intel-based Macs, non-Apple hardware, or need to manage large fleets of VMs across many hosts, Tart's core positioning does not fit those cases as directly.
What Tart actually does
At its core, Tart gives you a command-line-driven way to create and operate VMs on Apple Silicon. The project describes itself around four capabilities:
- Building, running, and managing VMs — both macOS and Linux guests on Apple Silicon hosts.
- Native performance — VMs run with hardware-level virtualization rather than emulation, so the guest architecture matches the host.
- Remote storage for VMs — VM images can live in remote storage rather than only on the local disk.
- Integrations with existing automations — the project lists GitHub, GitLab, and other CI systems among its integrations.
That combination matters because it treats VMs less as one-off local sandboxes and more as artifacts you can store, distribute, and run inside pipelines.
Who it is for
Tart fits best when your work looks like one of these:
| Situation | Why Tart fits |
|---|---|
| You develop on an Apple Silicon Mac and need clean macOS or Linux environments | Native virtualization on the same architecture |
| You run CI that needs macOS runners | Integrations with GitHub Actions, GitLab Runner, Buildkite, and Packer are listed |
| You want VM images shared across machines or team members | Remote storage for VM images |
| You need to scale VM execution beyond a single machine | The Orchard orchestration layer is documented separately |
It fits less well if your hosts are Intel Macs or Linux servers, since the toolset is explicitly scoped to Apple Silicon.
How the pieces relate
The documentation separates Tart into a few layers, which is useful for understanding what you would actually adopt:
The core toolset
This is the part that builds, runs, and manages individual VMs. You would start here to confirm the workflow suits you before adding anything else.
Integrations
Tart lists self-hosted CI, GitHub Actions, GitLab Runner, Buildkite, and Packer. These are the hooks that let a VM image become part of an automated build or test step rather than a manual task.
Orchestration with Orchard
Orchard is the scaling layer, with its own quick start, architecture and security notes, controller and worker deployment, CLI, cluster management, and API integration. If your need is "run many VMs across machines," this is the section that matters, not the core toolset alone.
What to check before committing
A few practical questions decide whether Tart is the right choice:
- Are your hosts Apple Silicon? The toolset is scoped to Apple Silicon, so this is the first filter.
- Do you need macOS guests specifically? That is where native Apple Silicon virtualization is hardest to replace.
- Will VMs be shared or automated? If yes, the remote storage and CI integration features are the reason to pick Tart over a simpler local VM tool.
- Do you need multi-host scale? If so, plan for Orchard as a separate adoption step with its own architecture and security considerations.
Getting oriented
The project's own entry points are the GitHub repository, a Quick Start guide, and separate Integrations and Orchestration sections. A sensible path is to read the Quick Start, run a single VM to confirm the native-performance workflow, then look at Integrations if you intend to wire VMs into CI, and only then evaluate Orchard if you need to run at scale.