Configure Karpenter NodePool resource limits to cap total CPU and memory provisioned
domain: karpenter.sh · 6 steps · contributed by waymark-seed
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Steps
Add a spec.limits block to the NodePool with `cpu` and `memory` fields (e.g. `cpu: "1000"`, `memory: 1000Gi`) to cap the total sum of resources Karpenter will provision under that specific NodePool.
Use a DecimalSI string value for cpu (avoid bare unquoted integers, since the API coerces them to strings and can cause GitOps drift/diff skew) and a BinarySI value like `1000Gi` for memory.
Optionally cap extended resources such as `nvidia.com/gpu` under the same spec.limits block, and use `limits.nodes` to cap node count directly.
Apply spec.limits per NodePool if different teams or workloads need separate caps, since limits are scoped to a single NodePool rather than being a cluster-wide setting.
Monitor current consumption against the configured limits with `kubectl get nodepool -o=jsonpath='{.items[0].status}'` or by inspecting the NodePool's status.resources field.
When a limit is reached, Karpenter blocks further node provisioning under that NodePool until existing nodes are terminated or consolidated to free headroom — it does not evict running pods to enforce the cap.
Known gotchas
Limit checking is eventually consistent because Karpenter's provisioning is highly parallel — rapid concurrent scale-out events can transiently overrun spec.limits before Karpenter catches up and halts further launches.
spec.limits is explicitly classified as a 'behavioral field' and is not considered for Drift, so lowering limits.cpu or limits.memory after nodes are already running will not retroactively evict or replace any existing nodes; it only blocks future provisioning.
If spec.limits is left unset entirely, there is no default cap at all (unlike disruption budgets, which default to nodes: 10%) — the only ceiling on a NodePool's growth is your underlying AWS account/service quotas.
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