Vetted Score
4.6
/ 5.0
Earned a high score for its robust open‑source core, extensive framework compatibility, and strong enterprise features that simplify production ML pipelines.
Key Features
Model Deployment at Scale
Deploy any ML model as a microservice on Kubernetes with automatic scaling and routing.
Multi‑Framework Support
Works with TensorFlow, PyTorch, Scikit‑learn, XGBoost, and custom Docker containers.
Enterprise Monitoring & Governance
Advanced observability, A/B testing, canary releases, and role‑based access control for production workloads.
Frequently Asked Questions
Yes, Seldon Core is released under the Apache 2.0 license and can be used without any licensing fees.
Seldon runs on any Kubernetes cluster, whether on‑premises or in cloud environments such as AWS, GCP, and Azure.
Advanced monitoring, enterprise support, and managed SaaS offerings are available through paid Seldon Deploy plans.
Featured Lists & Comparisons
Specifications
Pricing Model
Core version is free and open source; paid SaaS/enterprise tiers start at $0 for community and scale up to $2,000 per month for advanced features and support.
Supported Platforms
LinuxKubernetesAWSGoogle Cloud PlatformMicrosoft Azure