Auto-Scaling Strategies for Cost-Effective ML Systems in MLOps and Production AI
Dynamic Resource Allocation
Auto-scaling adjusts compute resources based on workload demand.
Approaches
- Metric-based scaling
- Scheduled scaling
- Horizontal scaling triggers
Elastic scaling prevents over-provisioning.

