Seldon

What it is

Seldon is a platform that helps developers and data scientists take their machine learning projects from proof of concept to production efficiently, minimizing risk throughout the process.

Seldon stands out by providing a comprehensive platform for deploying, monitoring, and managing machine learning models in Kubernetes environments, making it ideal for production-grade deployments.

When it fits — and when it doesn’t

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

1. 01

   Limited support for non-Kubernetes environments

   Primary deployment and management features are tightly coupled with Kubernetes, making it less suitable for other orchestration tools or bare-metal setups.

2. 02

   Resource-intensive at scale

   The overhead of running Seldon Core in a large-scale production environment can lead to increased resource consumption and costs.

What it does well

• Seamless deployment of ML models in Kubernetes environments

• Automated model monitoring and management

• Support for multiple machine learning frameworks

• Integration with popular CI/CD pipelines

Pricing

Free tier

YesOpen source — free to use

Paid from

$0

Model

Flat rate

Enterprise plan

No

Pricing not independently confirmed — check the vendor’s page.