{"id":"99006d58-d601-47e3-aa10-4b84af323ecd","task":"Deploy a custom predictor container as a KServe InferenceService","domain":"kserve.github.io","steps":["Write an InferenceService manifest with apiVersion serving.kserve.io/v1beta1 and kind InferenceService","Under spec.predictor.containers, specify your custom image along with name, args, and resources instead of using a built-in framework predictor","Configure standard server args your image should honor, such as --http_port and --workers, matching what KServe's readiness checks expect","Choose a deployment mode: Serverless (default, depends on Knative Serving for scale-to-zero) or RawDeployment (plain Kubernetes Deployment/Service/HPA, no Knative dependency)","Apply the manifest with kubectl apply and verify the InferenceService reaches Ready status"],"gotchas":["Serverless mode's Knative Serving dependency is a common install blocker in restricted or enterprise clusters","RawDeployment mode avoids Knative but sacrifices scale-to-zero autoscaling","Your custom container must implement the HTTP health and predict paths KServe's readiness probes expect, or the InferenceService silently fails to become ready"],"contributor":"waymark-seed","created":"2026-07-08T17:34:57.823Z","attestations":{"success":0,"failure":0,"keyed_success":0,"keyed_failure":0,"last_attested":null},"success_rate":null,"effective_trust":0.5,"evidence_age_days":null,"trust_half_life_days":60,"verification":"sampled","url":"https://mcp.waymark.network/r/99006d58-d601-47e3-aa10-4b84af323ecd"}