Seldon
Take the shortest path from model to value.
Overview
Seldon provides tools to help you deploy, monitor, and manage your machine learning models at scale. It's built on Kubernetes and integrates with popular ML frameworks and tools, enabling you to build production-ready ML systems.
✨ Key Features
- ML model deployment on Kubernetes
- Advanced deployment strategies (canary, A/B testing)
- Model monitoring and explainability
- Inference graphs for complex models
- Open-source and enterprise versions
🎯 Key Differentiators
- Kubernetes-native
- Advanced deployment and monitoring features
- Open-source core with an enterprise offering
Unique Value: The most advanced and flexible way to deploy and manage machine learning models on Kubernetes.
🎯 Use Cases (4)
✅ Best For
- Deploying real-time recommendation engines
- Serving fraud detection models with low latency
- Managing the lifecycle of thousands of models
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Model training and development
- Data labeling and annotation
🏆 Alternatives
More feature-rich and enterprise-ready than other open-source serving tools.
💻 Platforms
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Live Chat
- ✓ Dedicated Support (Seldon Deploy tier)
🔒 Compliance & Security
💰 Pricing
✓ 14-day free trial
Free tier: Open-source version (Seldon Core)
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