Kinference
    • Getting started Install the gateway, Kinference and the kinfctl CLI in five steps.
    • Features Cache-aware load balancing, token rate limits, model aliases, metrics and semantic classification.
    • Guides Step-by-step: inference serving, monitoring, tenant tracking and writing policies.
    • Reference Configuration, CRDs, kinfctl, metrics and policy syntax.

    Quick links

    • Writing inference policies
    • KV cache-aware load balancing
    • Token-based rate limiting
    • InferencePolicy CRD
    • Grafana dashboards

    Latest release: v0.1.0-alpha.7

  • Blog
  • Enterprise

Go to GitHub ↗
  • Getting started
  • Features
    • KV cache-aware load balancing
    • Model aliases
    • Policy-driven inference serving
    • Production-ready metrics, monitoring, and dashboards
    • Semantic classification
    • Token-based rate limiting
  • Guides
    • Basic inference serving
    • Installing the Kinference Grafana dashboards
    • Tracking tenants
    • Writing inference policies
  • Reference
    • Configuration
    • CRDs
      • GatewayBackend
      • InferencePolicy
      • InferencePool
      • InferenceProvider
      • InferenceWorkerSet
    • kinfctl
    • Metrics
    • Policies

Features

Token-based rate limiting

This feature will be available in a future Kinference release.

Kinference allows you to limit tenant inference usage by input and output token rates.

  • Previous ← Semantic classification

Kinference by Buoyant

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