Cost Optimization
GPU Scheduling on Kubernetes: MIG, Time-Slicing, and Node Pools
One A100 GPU costs $3/hour. Your model uses 12% of it. Here is how GPU sharing on Kubernetes cuts ML infrastructure bills by 60% or more.
Batch vs Real-Time ML Inference: 90% of Predictions Can Be Batch
Your model runs in real-time. 90% of your predictions do not need to. Here is the decision framework and the cost math showing 99.5% savings.
ML Cost Optimization: One YAML Field Cut Our Bill by 80%
We changed minReplicas from 1 to 0. Infrastructure cost dropped 80%. Here is how KPA, scale-to-zero, and panic mode work for ML inference.
Scale-to-Zero for ML Models: Stop Paying for Idle Compute
Your ML model runs 24/7. Inference requests come 2% of the time. KServe plus Knative scales to zero when idle. Here is how.
How to Handle Spot Instance Interruptions on EKS with Zero Downtime
A practical guide to running Spot instances on Amazon EKS without service disruption, using Karpenter, PodDisruptionBudgets, and EventBridge.
5 Terraform Mistakes That Cost You Money on AWS
Common Terraform misconfigurations that silently inflate your AWS bill, and how to fix them with real-world examples.