MLOps II: GPUs, Online Inference & ML Observability

Want to deliver real-time AI predictions to your customers without the complexity of managing infrastructure? Join our hands-on session where you'll deploy production-ready models with GPU acceleration and effective monitoring.

Using dynamic pricing as our example, you'll learn how to:

Leverage GPU Compute at the Click of a Button

Provision GPU resources and deploy models for real-time predictions to deliver personalized experiences to customers in milliseconds, not minutes.

Create Secure Online Inference Endpoints

Expose your models as secure REST APIs that integrate seamlessly with customer-facing applications, enabling use cases like instant pricing, fraud alerts, and personalized recommendations.

Implement ML Observability & Monitoring

Gain visibility into model performance and service health to help your model deliver consistent business value and catch issues before they impact customers.

By the end of this session, you'll see how Snowflake ML eliminates infrastructure overhead and allows for consistent model tracking over time to ensure your models deliver the most value for your business.

Register now to reserve your spot!