Self-hosting is a full engineering commitment, not a one-time setup

Running your own model infrastructure means owning GPU provisioning, model updates, scaling under load, and the security hardening of that whole stack - an ongoing operational commitment that competes directly with the engineering time a startup needs to spend on its actual product.

For the overwhelming majority of startups, none of that operational burden buys anything the product needs - the API route gives access to a frontier model without any of it, at a cost structure that scales with usage rather than requiring upfront infrastructure investment.

Before considering self-hosted infrastructure, name the specific constraint that requires it - data residency that a hosted API genuinely can't satisfy, or a cost profile at truly massive scale that changes the math. If there isn't a specific, named constraint, the API route is very likely the right default.

The rare cases where self-hosting genuinely makes sense

A narrow set of situations justify the operational cost: extremely strict data residency requirements a hosted API provider genuinely can't satisfy, or usage volume so large that the infrastructure cost math tips in favor of self-hosting despite the operational burden. These are the exception, not the starting assumption.

Most Singapore startups that consider self-hosting are actually solving a different problem - data control or cost predictability - that a well-architected API deployment with the right data handling agreements can usually solve without taking on infrastructure ownership at all.

API scales with usage

No upfront infrastructure investment, and cost tracks actual usage rather than fixed capacity.

Self-hosting is rarely the real fix

Most startups considering it are solving a data-control or cost problem that a well-architected API deployment already solves.

Key takeaways

  • Self-hosting LLM infrastructure is a full, ongoing engineering commitment - GPU provisioning, updates, scaling, security - that competes directly with product development time.
  • For the overwhelming majority of startups, the API route provides frontier model access without that operational burden, at a cost that scales with actual usage.
  • Self-hosting genuinely makes sense only in narrow cases: data residency a hosted API can't satisfy, or usage volume large enough to change the cost math.
  • Most startups considering self-hosting are actually trying to solve a data-control or cost-predictability problem that a well-architected API deployment already addresses.