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A SaaS system serves many similarly structured models with modest individual traffic. Keeping a separate endpoint for each is costly. Which approach should be evaluated?
Published
- Delete all but one tenant model and return its predictions to every tenant.
- A supported multi-model endpoint with measured loading behavior and resource isolation needs.
- Assume every model can share one endpoint regardless of container or hardware compatibility.
- Keep one maximum-size dedicated endpoint per rarely used model without measurement.
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