PLATFORM
Model Deployment
Scalable model deployments with just a few clicks
A model deployment framework for all kinds of ML models
A model deployment framework for all kinds of ML models
  • Deploy models built in the frameworks of your choice
  • Automate the model containerization process at runtime
  • Support for models written in multiple languages (Python, R, Scala, etc.)
  • Vendor agnostic
Continuously serve prediction results to your applications
  • The REST API endpoint for interactive requests
  • Dynamically consume the best model from multiple models based on traffic behavior
  • Determine model performance through A/B testing
  • Safely promote and demote models
  • Fallback strategies when models are not responsive
  • Test models in a production environment before deployment
Continuously serve prediction results to your applications

Healthy

0

Unhealthy

0

Min. Instances

1

Max. Instances

12

We'll take care of your infrastructure management
  • Auto-scaling based on model traffic
  • System monitoring dashboard for DevOps
  • Alerting and health checks
Score your models on large datasets
  • Offline batch scoring
  • Pull and join data from multiple sources
  • Feed data to your models and store their outputs
Score your models on large datasets
Deploy models faster
Deploy models faster
Cut the time it takes to deploy a model from a couple of months to just a couple of hours.
Actionable Visibility
Actionable Visibility
Get actionable visibility on your models in production through detailed records into their deployments.
WHITE PAPER
Datatron's Deployment Module for Machine Learning Models
Read more about Datatron and Model Deployment by checking out our white paper.
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Get started with Datatron today

Request a trial today to learn how Datatron can improve your ML/AI model management.