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Examples

Cloud & AI Infra models with real decisions, limits, and tradeoffs.

Route workloads, serving paths, and infrastructure growth against cost, capacity, power, and carbon guardrails.

AI Platform Lead / Infrastructure Engineering
SLA-constrained routing

AI Inference Routing

Which inference serving mix can absorb growth without breaking GPU capacity, latency, budget, or carbon limits?

Decision logic

Route inference traffic across model tiers, GPU pools, vendor fallback, and batch fallback under GPU, latency, cost, and carbon limits.