This module focuses on optimizing machine learning workloads for performance, scalability, and cost efficiency. Participants will learn techniques to select appropriate compute resources, monitor infrastructure utilization, and reduce operational expenses.
Topics Covered
Compute Optimization
GPU Selection
Spot Instances
Cost Explorer
Auto Scaling
Performance Monitoring
Resource Optimization
CloudWatch Metrics
Cost Best Practices
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