Cost Optimization
Domain: MLOps
🎯 Motivation
Minimizing the cost of running models: right-sizing instances, using spot instances, optimizing batch sizes.
📋 Concrete Example
Optimization: 1) Use smaller model for simple queries. 2) Batch requests. 3) Use spot instances (cheaper). 4) Auto-scale. Cost reduced by 60%.
🔗 Analogy
Budgeting for a household - use cheaper brands, buy in bulk, turn off lights when not needed. Cost optimization reduces AI operating costs similarly.