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Home/Glossary/Inference Endpoint
AI Glossary Term

What does “Inference Endpoint” mean?

Definition

A deployed API interface that receives model requests and returns predictions in production.

Related terms

API (Application Programming Interface)
A structured way for one software system to send requests to and receive responses from another system.
Inference
The runtime phase where a trained model generates predictions or outputs.
Usage-Based Billing
Pricing where costs scale with API calls, tokens, inference time, or consumed compute.
Inference-Time Compute
The amount of processing power consumed while producing each response.
Decision Tree
A model that makes predictions through a sequence of if-then feature splits.
Ensemble
Combining predictions from multiple models to improve robustness or accuracy.

Learn more in our free guides

AI InferenceAI Inference OptimizationLLM Inference Routing and Load BalancingSeldon Core and Inference Graphs

See also

Human Preference ModelKnowledge BaseGuarded DecodingLatent SpaceGroundednessModel RegistryFeature StoreOn-Device AI
PreviousHuman Preference ModelNextKnowledge Base
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