Seldon · Rate Limits

Seldon Rate Limits

Seldon Core and the Seldon Enterprise Platform are self-hosted, Kubernetes-native platforms. As a result, there are no platform-enforced API rate limits set by Seldon itself — throughput and concurrency are governed by the infrastructure resources allocated to the deployment (CPU, memory, GPU) and the Kubernetes ingress controller configuration (e.g., Ambassador, Istio, or Traefik). Organizations configure their own rate limiting at the ingress layer. The Open Inference Protocol endpoints (REST and gRPC) are limited by Kubernetes pod replica scaling and resource quotas set by the cluster administrator.

Seldon Rate Limits is the machine-readable rate-limit profile for Seldon on the APIs.io network, conforming to the API Commons Rate Limits specification.

Tagged areas include MLOps, Machine Learning, Model Serving, Inference, and Kubernetes.

0 Limits
MLOpsMachine LearningModel ServingInferenceKubernetesAI OperationsDrift DetectionExplainabilityCanary DeploymentA/B TestingLLMOps