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

Work with this as data

Every rate limit here is available over the APIs.io API and to AI agents over MCP.

MCP server

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https://apis.io/mcp

Tools for rate limits

4 MCP tools reach this
  • find_rate_limitsBrowse and filter every rate limit in the catalog.
  • apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
  • resolveTurn a domain, URL or GitHub org into the provider it belongs to.
  • find_cohortsEvery scored population of providers in the catalog.
All 92 tools →

Call it yourself

curl for this page
This rate limit 
curl "https://apis.io/api/v1/rate-limits/seldon-rate-limits"
All rate limits 
curl "https://apis.io/api/v1/rate-limits?limit=25"

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