When to use a dedicated deployment
A dedicated deployment gives you reserved, isolated capacity. Consider a dedicated deployment when you want to:- Run a model that isn’t available as a shared endpoint.
- Tune inference cost to your own priorities.
- Guarantee that users in your organization have their own pool of resources and capacity.