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AIDemo offlineAI GatewayRoutingToken QuotasMulti-Model

F5 AI Gateway

Central control point for AI traffic — routing, rate limiting, token accounting and multi-model failover.

Overview

As soon as an organisation runs more than one model, it needs a gateway. This demonstration positions F5 AI Gateway as the single ingress for all AI traffic: it authenticates callers, applies per-team token quotas, routes requests to the most appropriate model and fails over when a provider degrades. You will show a live model-routing decision, trigger a quota breach and demonstrate failover from a hosted model to a self-hosted one. The cost-governance angle tends to resonate with platform owners even more than the security angle.

Architecture

Laptop

Mobile

F5 Application Delivery & Security Platform

WAF · API Security · Bot Defense · Load Balancing

Data Centre

Public Cloud

Kubernetes

Generic illustration — a specific architecture diagram has not been uploaded for this demo yet.

How to access it

Online Demo

Access— this demo is currently offlineF5 VPN required

Credentials

Username
gateway-admin
Password
••••••••••••••••••

Lab URL

Access

Lab Guide URL

Access
Environment
F5 UDF — blueprint "AI Gateway + vLLM backend"
Setup time
~15 minutes

Maintainer

Fouad Chmainy— chat on Microsoft Teams

Maintainer notes

The self-hosted model backend needs a GPU-enabled lab flavour. Request it in advance — GPU capacity is often constrained.

How to learn it

Highspot

Positioning, battlecards and customer-facing collateral.

SharePoint

Demo scripts, lab guides and configuration files.

Video walkthroughs

Recorded demonstrations on @MatthieuDierickF5. No dedicated recording is linked for this demo yet.

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