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AI toolsModels & APIsMLServer

Added Nov 5, 2026

MLServer

Free
🇬🇧 United KingdomSeldonModels & APIs views clicks to the websiteNo ratings
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Open-source Python server for serving ML models over REST and gRPC

REST and gRPC endpointsV2 Inference ProtocolMulti-model servingAdaptive batchingPrebuilt framework runtimesCustom runtimesFree
OverviewReleasesPricingAlternativesPros & ConsPromptsReviewsQ&A
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docs.seldon.ai
MLServerOpen-source Python server for serving ML models over REST and gRPCVisit docs.seldon.ai

What is MLServer?

MLServer is Seldon's open-source inference server that exposes machine learning models through REST and gRPC endpoints following the V2 Inference Protocol. It is used by ML engineers who deploy models on Kubernetes with Seldon Core or KServe.

Ready-made inference runtimes cover scikit-learn, XGBoost, LightGBM, CatBoost, Spark MLlib, MLflow, Hugging Face and Alibi, and you can write a custom runtime for anything else. Each runtime is a separate pip package, so you install only what your models need.

Several models can run inside one process, a pool of workers handles parallel inference, and adaptive batching groups incoming requests on the fly. It is the core Python server inside Seldon Core and KServe, but it also runs on its own after a pip install.

Features

  • REST and gRPC endpoints
  • V2 Inference Protocol
  • Multi-model serving
  • Adaptive batching
  • Prebuilt framework runtimes
  • Custom runtimes

Tags

Model ServingOpen SourceKubernetesPython

Releases

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  1. ListedNov 5, 2026

    MLServer was added to the directory.

Organization

Seldon

🇬🇧 United Kingdom

Listed by kitio.ai · unverified owner

Pricing

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Pros and cons

Pros

  • Standard protocol shared with KServe
  • Wide range of ML framework runtimes
  • Installs with pip

Cons

  • Python 3.13 is not yet supported
  • Docs page shows few recent updates
  • Needs Kubernetes tooling for scaled deployments

Prompts & results

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Reviews

Q&A

What is MLServer?

MLServer is Seldon's open-source inference server that exposes machine learning models through REST and gRPC endpoints following the V2 Inference Protocol. It is used by ML engineers who deploy models on Kubernetes with Seldon Core or KServe.

Which Python versions does MLServer support?

The documentation lists Python 3.9 to 3.12 as supported, while 3.7, 3.8 and 3.13 are marked unsupported.

Can MLServer serve Hugging Face models?

Yes. There is a dedicated Hugging Face runtime package alongside runtimes for scikit-learn, XGBoost, MLflow and others.

How much does MLServer cost?

MLServer is 100% free.

Is there a free version of MLServer?

Yes. MLServer is completely free to use.

What are the main features of MLServer?

REST and gRPC endpoints, V2 Inference Protocol, Multi-model serving, Adaptive batching, Prebuilt framework runtimes, Custom runtimes.

Who makes MLServer?

MLServer is made by Seldon.

What are the best alternatives to MLServer?

Popular alternatives include Anaconda, Keras, Metaflow.

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