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Open-Source Karpenter Limitations: What the Gaps Are at Enterprise Scale

calendar_today September 17, 2026 person Kunal Das domain cast-ai

Karpenter provisions nodes efficiently but has six documented limitations at enterprise scale: no workload rightsizing (clusters run 69% CPU overprovisioned on average), effectively AWS-only, single-cluster architecture, no Reserved Instance awareness, no cost attribution, and NodePool governance overhead. Here is what each gap costs and how to close it. The post Open-Source Karpenter Limitations: What the Gaps Are at Enterprise Scale appeared first on Cast AI .

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