When AI Inference Cost Becomes a Routing Problem, Who Decides Where Each Request Goes?

The Problem

AI service teams spend 30–60% of revenue on inference but have no single dashboard showing which model, chip, or region is cheapest per request.

Why Now

Cerebras's IPO marks the moment inference chips diversified — the routing decision, not vendor choice, becomes the new cost-saving lever.

Recommended Talent

Engineers who've operated LLM APIs in production, paired with someone who built cost-analyzer tooling like AWS or GCP cost explorer.