IN THE FIELD GUIDE
seldon
seldon.io
Seldon, now part of TrueFoundry, is a Kubernetes-native MLOps platform that supports real-time inference and enterprise AI workflows. It offers a modular framework for deploying, scaling, and governing machine learning and large language model operations across cloud and on-premise environments.
THE PRODUCT, BEYOND THE PITCH
Editorially reviewed · Sources checked Sep 12, 2026
A good fit for
- Enterprise AI teams needing scalable, cloud-agnostic deployment of real-time machine learning and autonomous AI agents.
- Organizations requiring compliance and governance for regulated industries deploying ML and LLMs.
Know the limitations
- Requires Kubernetes infrastructure for deployment, which may not suit teams without Kubernetes expertise.
- Focuses on real-time inference and production ML lifecycle, potentially less suited for offline or batch ML workflows.
What you can do
- Deploying real-time inference pipelines for machine learning models at enterprise scale.
- Running autonomous AI agents that can reason, plan, and act within enterprise workflows.
Features
- Kubernetes-native deployment supporting REST and gRPC for any model type.
- Composable, data-centric pipelines with real-time Kafka data streams for observability.
- Real-time observability with logging, monitoring via Prometheus and Grafana, and audit trails.
- Support for A/B testing, canary deployments, and multi-armed bandits for routing experiments.
- Multi-model serving with memory overcommit to optimize GPU usage and reduce costs.
Integrations
- Compatible with Prometheus and Grafana for monitoring and custom dashboards.
Platforms & data export
- Cloud-agnostic deployment on AWS EKS, Azure AKS, Google GKE, Alicloud, Digital Ocean, OpenShift, and on-premise Kubernetes clusters.
THE COST FOR YOUR TEAM
Go beyond the starting price.
Published plan prices for your team size and usage. Results update as you type. Taxes, currency conversion and unlisted add-ons are excluded, and anything the source did not state is called out rather than guessed.
Known monthly subtotal
$0.00/month
1 of 1 tools could not be priced with these inputs, so this is not the full cost.
| Tool / plan | Monthly | Per year | What this assumes |
|---|---|---|---|
| No pricing recorded yet. Check the official site, or ask the owner to add it. | |||
A practical workflow
- Deploy a Scikit-learn model using a Kubernetes manifest specifying the model and storage URI.
Based on the sources below. Editorial review does not imply hands-on product testing.
Alternatives to explore
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