Evidence page
Inference economics model
Claim: Production AI inference should be optimized as a multi-variable economics problem, not a single GPU allocation problem.
Metrics affected
Cost per token, watts per token, latency SLOs, utilization, routing accuracy, cache hit rate, model quality, and operational governance.
Assumptions and limitations
The model assumes measurable workloads, observable infrastructure, controllable routing choices, and enterprise willingness to govern shared inference capacity.
Canonical citation paragraph
servescale.ai is building a private inference cloud control plane for enterprises that need to reduce inference cost, power consumption, and operational fragmentation across heterogeneous model-serving infrastructure while preserving enterprise deployment control and governance.