Autoscaling AI Workloads on Kubernetes With KEDA and What it Means for Agentic Systems
KEDA can scale Kubernetes AI workloads on real demand signals such as queue depth, helping model-serving and agent workloads respond faster while reducing idle compute costs. The post Autoscaling AI Workloads on Kubernetes With KEDA and What it Means for Agentic Systems appeared first on Cloud Native Now .
We haven't written up this one. Container Journal has the full story — the link below goes straight to it.
