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.
Self-hosted LLM
Decide when self-hosted LLM infrastructure makes sense compared with managed APIs.
Self-hosting is worth evaluating when data control, predictable volume, private networking, custom model behavior or procurement requirements outweigh the simplicity of managed APIs.
APIs are usually the faster route when the team is still validating demand, traffic is uncertain, or infrastructure staffing is limited.
Include this dimension in total cost, architecture and readiness review before choosing a self-hosted path.
Include this dimension in total cost, architecture and readiness review before choosing a self-hosted path.
Include this dimension in total cost, architecture and readiness review before choosing a self-hosted path.
Include this dimension in total cost, architecture and readiness review before choosing a self-hosted path.
Include this dimension in total cost, architecture and readiness review before choosing a self-hosted path.
Include this dimension in total cost, architecture and readiness review before choosing a self-hosted path.
Include this dimension in total cost, architecture and readiness review before choosing a self-hosted path.
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 optionsIt can make sense for stable workloads with privacy, residency, customization or cost-control requirements and a team that can operate infrastructure.
Managed APIs are usually better for early products, small teams, fast iteration and workloads without strict infrastructure control requirements.