AI Infrastructure Guide

Self-hosted LLM

Self-hosted LLM Guide

Decide when self-hosted LLM infrastructure makes sense compared with managed APIs.

When self-hosting makes sense

Self-hosting is worth evaluating when data control, predictable volume, private networking, custom model behavior or procurement requirements outweigh the simplicity of managed APIs.

When API providers make more sense

APIs are usually the faster route when the team is still validating demand, traffic is uncertain, or infrastructure staffing is limited.

Infrastructure requirements

Include this dimension in total cost, architecture and readiness review before choosing a self-hosted path.

Hidden costs

Include this dimension in total cost, architecture and readiness review before choosing a self-hosted path.

Operational complexity

Include this dimension in total cost, architecture and readiness review before choosing a self-hosted path.

Observability

Include this dimension in total cost, architecture and readiness review before choosing a self-hosted path.

Security

Include this dimension in total cost, architecture and readiness review before choosing a self-hosted path.

Scaling

Include this dimension in total cost, architecture and readiness review before choosing a self-hosted path.

Compliance concerns

Include this dimension in total cost, architecture and readiness review before choosing a self-hosted path.

Rough decision framework

Start with a managed API when speed and simplicity matter. Move toward dedicated inference or self-hosted LLMs when workload volume, data controls, latency targets or governance requirements justify infrastructure ownership.

Compare provider options

FAQ

When does self-hosting make sense?

It can make sense for stable workloads with privacy, residency, customization or cost-control requirements and a team that can operate infrastructure.

When are APIs better?

Managed APIs are usually better for early products, small teams, fast iteration and workloads without strict infrastructure control requirements.