What is Model Serving?

Model serving is the set of processes and infrastructure that deploy trained Machine Learning (ML) models and expose them through stable interfaces to perform inference on new data in production environments. Expanded Explanation 1. Technical Function and Core Characteristics Model serving loads one or more trained models, manages their execution environment, and processes incoming inference requests over a defined protocol such as Hypertext Transfer Protocol (HTTP) or gRPC. It handles tasks

How widely is Model Serving used?

31 organizations in our directory are tagged Model Serving, referenced across 13 open source projects.

Model Serving

Last updated August 24, 2026

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What we add

Counted facts

A dictionary definition doesn't say how often a term is actually used. This counts it across the graph -- articles that mention it, open source projects tagged with it, and the organizations tagged with it, listed here alongside the count. A term has no peer companies, and nothing here claims otherwise.

Open source projects 13 Organizations tagged 31 Organizations Abacus.AI, Inc., AI21 Labs, ai-hosting, AIM FUTURE, Apexa IQ, BentoML, Copaco N.V., Coriolis, Databricks, DeepSeek, DeepTempo, Enkrypt AI, Fireworks AI, Fogus Innovations and Services P.C., HiddenLayer, InterBel Telephone, InterDigital, Mid-Rivers, Mistral AI, Observo Related terms