Yes, Cast AI Optimizes at the Workload Level: How PrecisionPack Rightsizes Pods
Cast AI’s PrecisionPack rightsizes workloads based on actual container usage, reducing overprovisioned CPU and memory…
Does Cast AI Lock You In? Node Provisioning, GitOps and What Happens If You Leave
The vendor lock-in question comes up early in Cast AI evaluations. It deserves a direct…
Kubernetes Requests and Limits: How to Right-Size Pods Without Breaking Reliability
In Kubernetes, requests define the resources a pod is scheduled for, while limits cap usage.…
LLM Inference Cost Optimization: Run AI Inference for Less
Most LLM inference spend is idle GPU capacity. This guide covers five concrete optimization levers…
What Is EKS Auto Mode? Managed Karpenter Node Autoscaling
EKS Auto Mode delivers Karpenter-powered node autoscaling without managing the controller. It reduces operational overhead…
Karpenter Disruption and Drift: How to Consolidate Nodes Safely
Karpenter disruption is how Karpenter removes or replaces nodes: through consolidation, drift, and expiration. Drift…
How to Migrate from Cluster Autoscaler to Karpenter
Migrating from Cluster Autoscaler to Karpenter means replacing managed node groups with Karpenter NodePools that…
Karpenter Consolidation and Bin-Packing: How to Cut Node Waste Safely
Karpenter consolidation continuously repacks running workloads onto fewer, cheaper nodes and removes nodes that are…
Karpenter NodePools and NodeClasses: A Practical Configuration Guide
A Karpenter NodePool defines the constraints Karpenter uses to launch nodes (instance types, capacity type,…
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