Kubernetes Cost Optimization for AI Workloads
Problem
AI workloads on Kubernetes often lead to resource over-provisioning and high costs.
Architecture
- Autoscaling GPU nodes
- Resource quotas and limits
- Cost monitoring integration
Solution
- Implemented cluster autoscaler
- Set up resource requests/limits
- Integrated cost dashboards
Tools Used
- Kubernetes
- Prometheus
- Kubecost
Results
- 25% reduction in compute costs
- Improved resource utilization
- Real-time cost visibility