Skip to main content

Seldon Core 2

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

View on GitHub Official site
Deployment 4,763 stars

Overview

Description

Seldon Core 2 gives you a standardized way to deploy and manage AI systems on Kubernetes, from single models to complex modular applications. The big picture: deploy across model types, on-prem or in any cloud, production-ready out of the box. Here's why it matters: save infrastructure costs with multi-model serving and overcommit, run A/B experiments, and build composable pipelines with realtime data streaming.

Technical scorecard

License

Not specified

Commercial use

No

OpenAI-compatible API

No

REST API

Yes

Fine-tuning support

No

Quantization support

No

Docker available

Yes

GUI / no-code available

No

Telemetry

Unknown

Offline after setup

No

Data & Privacy

Does it send data online?

This listing is not marked offline after setup.

Does it store history?

Not verified in this directory yet. Review the upstream docs for persistence, logs, and workspace storage.

License checks?

The listed license needs review before commercial use.

Telemetry?

Unknown

Last verified: Jul 22, 2026. Maintainer verification should be treated as directory guidance, not legal advice.

🛡️

Deploying Seldon Core 2 in production?

Stop silent telemetry leaks before they trigger an unintended data leak. Get our Airgap Certainty Blueprint for Seldon Core 2.

Request Privacy and Telemetry Audit

Setup & Installation

A developer can usually get this running with standard docs.

# Start with the official project repository
# https://github.com/SeldonIO/seldon-core

Hardware Requirements

Hardware tagsNot specified
LanguagesGo, Jupyter Notebook

Works Well With