BNK 2.3 BNK 2.2 BNK 2.1.1 BNK 2.1.0 BNK 2.0.0

  • Overview
  • Install
  • Administration Guide
  • How-tos
    • Configure BNK network and traffic using Gateway API
    • Deploy an application with GTM
    • Restrict access to sensitive data
    • Components needing cluster-wide access
    • Set up dynamic routing with BGP
    • Set up core file collection
    • Configure DOCA Offloads on DPU
    • Configure Token Counting and Enforcement
    • Configure AI Traffic Optimization Features
      • Intelligent AI Load Balancing
      • Semantic AI Model Caching
    • Border Gateway Protocol (BGP) routing with Kubernetes CRDs
    • Configure HTTP traffic steering with Gateway API HTTPRoute
    • Proxy Protocol iRule support for L4 routes
    • Configure Load Balance Traffic to External Resources
    • Configure Static Active-Standby Interface Bonding on BIG-IP Next for Kubernetes
    • Configure TMOS DNS Service Integration with Container Ingress Services
    • Configure network infrastructure with the Infra CRD
    • Configure tenant traffic settings with GatewaySettings
    • Configure an egress gateway for outbound pod traffic
  • Components
  • Observability
  • Custom resource definitions
  • Reference
  • Troubleshooting
  • Releases

On this page:
  • Configure AI Traffic Optimization Features
    • In this section
  • CloudDocs Home > BIG-IP Next for Kubernetes > Configure AI Traffic Optimization Features

Version notice:

Configure AI Traffic Optimization Features¶

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This section covers the following AI traffic optimization capabilities designed to maximize model throughput, manage resource capacity, and reduce response latency.

In this section¶

  • Intelligent AI Load Balancing
    • Intelligent AI Load Balancing
      • F5BigAnalyzer
      • JSON schema interface
    • F5BigAnalyzer
    • JSON schema interface
    • AI Inference Routing with the F5 Endpoint Picker
      • AI Inference Routing with the F5 Endpoint Picker
      • Configure the Inference Data Path
      • F5 EPP Custom Resource Reference
      • Tune the EPP
      • Verification and Observability for EPP Data Path
      • InferenceObjective and InferenceModelRewrite
  • Semantic AI Model Caching
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