Simulator · AI Scaling & Deployment

AI Fleet Economics Simulator

Picture an enterprise AI platform whose GPU fleet sits underused while agentic workloads, which Gartner estimates use 5 to 30x more tokens per task than a chatbot, quietly multiply the monthly bill. Pull the four levers a FinOps team would pull and watch the fleet, the token flow, and the invoice react in real time.

Operating Levers

Drag to simulate. Everything on the right updates live.

GPU Fleet Utilization35%
In a 2024 industry survey, 68% of companies reported peak GPU utilization under 70%. The lower this is, the more you pay per hour of real work — see the math below.
Agentic Task Mix30%
Share of traffic that's multi-step agentic work instead of single-turn chat. Agentic tasks use 5–30x more tokens each.
Model Routing to Local/Small Models10%
Traffic diverted from the frontier fleet to cheaper local or small models via an AI gateway.
INT8 Quantization
Cuts per-token compute cost and lifts throughput per GPU.

Frontier GPU Fleet — Live Utilization

Each tile is a slice of the provisioned fleet. Lit tiles are doing useful work; dim tiles are paid-for and idle.

Active Idle (still billed)
Utilization: 35% Idle waste: —/mo

Where Your Tokens Go

Monthly token demand splits between the expensive frontier fleet and cheaper routed/local models. Pipe thickness = volume.

Monthly Task Demand Frontier GPU Fleet — of tokens Local / Routed Models — of tokens

Show Your Math

No hidden formulas. Six plain steps, recalculated live as you move the levers above.

    Live Bill

    Recalculated instantly from your current lever settings.

    Monthly Spend
    $0
    Cost / Million Tokens
    $0
    Idle GPU Waste
    $0
    Saved vs. Baseline
    $0
    Same traffic, unoptimized ops (35% util, no routing, no quantization)$0
    Your configuration$0