Where should your AI run?
Six questions point you to a hosted API, a cloud AI platform or your own servers, with the reasons and what to check before you buy. Then compare three years of cost using your own numbers. Nothing you type leaves this page.
Six questions
SaaS / API vs cloud platform vs self-host
Type your own quotes. The figures already in the boxes are an example only, not our prices or anyone's measurements. There is no live exchange rate: if your quotes are in another currency, type the rate you want to use.
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What we chose for our own products
Relay, our automation product, calls a hosted model through Anthropic's API. That is the SaaS / API tier, chosen on purpose: we pay per use within a fixed monthly API budget, and there is no model server for us to run, patch or watch.
We do self-host the tooling around the model. Tracing for Relay and our screening tool runs on Langfuse on our own VPS, so the record of every run stays with us. We do not self-host any model.
Our video product, Recast, has a self-hosted GPU worker planned, and it is gated. We chose a hosted API first because we did not yet have the volume to justify our own GPUs; the worker starts only when the volume does. "Not yet self-host" is a decision, with a written trigger to revisit it.
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