# Choosing an OS for an AI software factory

Compare SodaOS with general-purpose Linux, container operating systems and custom agent platforms by workflow, operating responsibility and security boundary.

Start with the job you want the system to do. Running one coding CLI, operating a persistent team factory and scheduling thousands of distributed jobs are different infrastructure problems. SodaOS supplies an integrated self-hosted factory on Fedora CoreOS. The alternatives below can host or support agent work, with different integration responsibilities.

## Choose by the responsibility you want to own

| Choice | Strong fit | Factory work you still need to define |
| --- | --- | --- |
| SodaOS | A trusted team wants coordinated coding, persistent Projects and Forgejo review in one appliance | Objectives, repository policy, provider sponsorship, CI capacity, backups and acceptance |
| [NixOS](/compare/nixos) | Declarative host configuration and a team comfortable maintaining Nix expressions | Agent orchestration, identity integration, issue readiness and merge governance |
| [Ubuntu Server](/compare/ubuntu-server) | Conventional Linux administration, broad server tooling and a freely chosen service stack | Selection and integration of the factory services |
| [Fedora CoreOS](/compare/fedora-coreos) | A minimal container host on which to build your own platform | The application and workflow layers that SodaOS adds |
| [Talos Linux](/compare/talos-linux) | An API-managed OS dedicated to Kubernetes nodes | A Kubernetes-based factory and its application-level rules |
| [Kubernetes-based infrastructure](/compare/kubernetes) | Multi-node scheduling, cluster policy and an existing platform team | Controllers for development workflow, forge integration and agent credentials |
| [A custom agent platform](/compare/custom-agent-platform) | A different forge, isolation model, provider topology or operating process is essential | The design, implementation and long-term maintenance of those integrations |

Debian is also a reasonable general-purpose Linux foundation when it matches your team's operating practice. As with Ubuntu, choosing that host does not by itself supply a software factory.

## Separate three decisions

First, choose the **host and execution boundary**: a trusted-team appliance, VMs or a cluster platform designed for your tenancy requirements. Containers share kernels unless an additional isolation layer is deliberately provided.

Second, choose the **development workflow**: where issues live, who accepts requirements, which agent works on them, how dependencies are represented, and what review/check evidence permits merge. No base Linux distribution or generic scheduler can infer your desired governance merely from being installed.

Third, choose the **operating model**: who updates the host and services, owns credentials and budgets, tests restores and responds when an execution stops uncertainly. Integration reduces the number of pieces your team assembles; it does not remove administration.

## Questions to answer before choosing

1. Is this one agent working for one developer, or an ongoing factory with several repositories and people?
2. Do you want Forgejo as the collaboration authority, or must you retain another forge as the native workflow owner?
3. Can projects share a trusted host kernel, or do you need a stronger isolation boundary?
4. Do you need single-appliance operation or multi-node scheduling and failover?
5. Which code and task context may reach external AI providers?
6. Which exact checks, reviewers and human decisions must precede merge?

These are architectural comparisons, not performance rankings. No throughput, cost or reliability advantage is inferred without comparable measurements. Each detailed guide links to upstream documentation and explains when the alternative is a better fit. Start with [what SodaOS provides](/ai-software-factory-os) or the [technical reference](/technical-reference).