Verta Model Deployment
Deploy Models Faster and Safely, at Scale
Verta Model Deployment enables you to safely release models using CI/CD best practices.
Deploy, serve, and scale models safely and reliably.
Model Deployment and Serving
Deploy models to production with a single click
Generate predictions for both batch and real-time processing
Integrate with your CI/CD pipeline using open APIs
Safe Deployment Through Best Practices
Configure canary deployment for incremental rollouts, setup auto-rollback options
Optimize infrastructure parameters like compute resources, environmental variables
Scale Inference Service
Scale-up and scale-out with our high volume, low latency prediction service
One framework that supports both batch and streaming inference serving
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One platform, all of your model delivery needs.
Manage
Full-lifecycle model management from experiment tracking to production registry
Deploy
Ensure production-quality operations with reliable governance and auditing.
Operate
Reliable batch and real-time inference & serving on any k8s infrastructure.
Monitor
Keep models relevant with real-time decay monitoring and logging.
Compatibility
We integrate with your AI-ML stack.
Verta supports all of these popular platforms and frameworks—plus many, many more.
Don't take our word for it. See what others are saying.
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