Kubernetes
Original published:
Scaling Kubernetes Workloads with Node Swap
AI summary
Editorial policyThe article explains how to scale Kubernetes workloads using nodes with swap enabled to mitigate memory pressure from agentic AI workloads.
Key points
- •Memory often runs out before CPU, and agentic AI workloads demand large memory footprints to start up.
- •Idle but resident memory is expensive and limits the number of pods a node can hold.
- •Kubernetes support for running nodes with swap enabled has reached General Availability.