SC
Seldon Core
Seldon Core is an open-source platform designed to deploy, monitor, explain, and continuously improve machine learning models in production.
Our verdict
Who it's for
Take control of ML and AI complexity in production environments.
Who should look elsewhere
No explicit free tier mentioned for Core+
Pros
- +Comprehensive suite for MLOps lifecycle
- +Strong focus on observability and explainability
- +Supports advanced GenAI deployments
- +Flexible for various deployment environments
- +Offers expert support and guidance for enterprise users
Cons
- −No explicit free tier mentioned for Core+
- −Complexity might require significant technical expertise
- −Pricing details are not publicly available
Key features
- ✓Real-time ML model deployment
- ✓Model performance monitoring (MPM)
- ✓Model explainability (Alibi Explain)
- ✓Outlier, data drift, and adversarial input detection (Alibi Detect)
- ✓Standardized prompting agents and function calling for GenAI
- ✓Embeddings and retrieval for GenAI
- ✓Memory and state management for GenAI
- ✓Operational and data science monitoring for GenAI
Pricing
| Plan | Price | Billing | Notes |
|---|---|---|---|
| Open Source | — | month | API Access; Lightweight Inference Serving; Pre-Packaged Runtimes |
| Core | — | month | MLServer API Access; Lightweight Inference Serving; Pre-Packaged Runtimes |
| Accelerator | — | month | MLServer API Access; Lightweight Inference Serving; Pre-Packaged Runtimes |
| Core 2 | — | month | MLServer API Access; Lightweight Inference Serving; Pre-Packaged Runtimes |