H2O MLOps
Open-source and enterprise MLOps platform for model deployment and monitoring
H2O MLOps
Open-source and enterprise MLOps platform for model deployment and monitoring
H2O MLOps is the production deployment and monitoring component of H2O.ai's platform, enabling teams to deploy, score, monitor, and manage ML models at scale. It provides REST APIs for model serving, real-time and batch scoring, model monitoring with drift detection, A/B testing, and champion/challenger model comparisons. H2O MLOps integrates with H2O's AutoML platform and supports deploying models from major ML frameworks. Data science teams at financial services companies, insurance providers, and enterprises in regulated industries with stringent model governance requirements use H2O MLOps for its production reliability and compliance-friendly governance features.
Key Features
- ✓Model serving
- ✓Drift monitoring
- ✓A/B testing
- ✓Champion/challenger
- ✓REST APIs
Quick Info
- Category
- AI Infrastructure & MLOps
- Pricing
- Freemium
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