Deploy machine learning models to production in minutes. Serverless inference with auto-scaling, model versioning, A/B testing, and enterprise-grade reliability.
Pay-per-request with automatic scaling
Dedicated endpoints for low-latency
Process large datasets offline
Automatically scale from zero to thousands of instances based on traffic.
Deploy multiple model versions and route traffic between them.
Personalized recommendations with low latency.
Classify images in real-time applications.
Go from trained model to production API in minutes.
Split traffic between model versions to test performance in production.
Deploy any model with custom Docker containers and dependencies.
Real-time metrics, request logging, and model drift detection.
VPC isolation, IAM authentication, and encrypted endpoints.
Text classification, sentiment analysis, NER.
Real-time fraud scoring for transactions.
Automated content safety screening.
ML-powered search result ranking.