Inference Fabric

Qorinix runs fast-response AI for conversational and agent-style workloads through a software-defined inference layer that keeps tail latency low and throughput predictably high.

Adaptive routing fabric

Requests are classified and dispatched by expected latency class, token profile, and model fit to reduce queue wait and idle compute.

Burst control

Policy-based admission and priority balancing protect latency-sensitive calls when token spikes arrive.

Cost-aware execution

Per-call budget rules and usage guardrails avoid overspend while preserving user-facing speed.

Now Inference API + rate governance

Now Streaming + streaming control for low-first-byte

Target Global low-latency footprint over time