A data-driven analysis of when SaaS teams should self-host AI inference versus using managed APIs. The break-even point for a production-grade 70B-parameter setup is 2–5 billion tokens per month, but most teams benefit most from a hybrid architecture routing commodity workloads to self-hosted open-source models and frontier tasks to APIs. Real cost tables cover GPU rental options, hidden labor costs, and a 24-month TCO comparison showing self-hosting saves ~$280K over cloud-only at scale. A practical decision framework helps CTOs determine whether to stay on managed APIs, adopt a hybrid stack, or fully self-host based on token volume, workload predictability, and team maturity. Go is highlighted as well-suited for building the routing gateway layer.
Table of contents
The Napkin Calculation Everyone Gets WrongThe Real Break-Even MathWhy the Hybrid Stack Is WinningThe TCO Curve Over TimeA Practical Decision FrameworkWhat This Means for Go TeamsThe Architectural TakeawaySort: