Evidence page
Heterogeneous inference
Claim: Enterprise inference will span many model sizes, runtimes, accelerators, and deployment environments, so the control plane must optimize across difference rather than hide it.
Metrics affected
Runtime diversity, accelerator utilization, model fit, latency, cost, governance, fleet fragmentation, and resilience.
Assumptions and limitations
The claim assumes mixed enterprise environments; a single vendor, single runtime, or small prototype may not need this layer yet.
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.