ON-DEMAND
GPU Machine Learning with Snowflake ML Container Runtime
In this webinar, we'll dive deep into Snowflake ML's Container Runtime and demonstrate how to perform end to end distributed multi-node GPU machine learning with Snowflake ML Container Runtime. We will demonstrate how to unlock the full potential of GPU-powered machine learning and gain a glimpse into writing optimized code for building, deploying, and serving models at scale with Snowflake ML.
Objectives
- •Breaking Down Data Silos with Snowflake ML
- •Introduction to Snowflake Feature Store
- •Model Development using Snowflake Notebooks on Container Runtime
- •Model Development using Snowflake ML Jobs
- •Model Logging with Snowflake ML Model Registry
- •Serving Models at Scale with Snowpark Container Services
- •Monitoring and Governance with Snowflake ML
- •Automated Deployment of Snowflake Notebooks and Jobs API based code into Production using Github actions
Audience
- •Technical Sales
- •Consultants
Learning Tracks
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