NewPre-deployment SLO estimation is now in preview —see it in action

NR-NEXUS

The operating system
for AI inference

One layer to orchestrate, optimize, and govern inference — across any model, any GPU, any cloud. Optimize every token, every request, and every dollar of your AI spend.

nexus · governor

NR-NEXUS Governor — control dashboard

Replace with product screenshot (neureality.ai/nexus or product mockup)

Trusted by
QualcommAMDMicrosoftCiscoARM

Trusted across the AI ecosystem

QualcommAMDMicrosoftCiscoARMFidelityCirrascaleNVIDIAQualcommAMDMicrosoftCiscoARMFidelityCirrascaleNVIDIA

The Platform

An operating system for AI inference

One unified layer replaces the fragmented tangle of open-source inference engines.

01

Automatic optimization

Every request finds its optimal path — engine selection, KV-aware routing, and disaggregation, out of the box.

02

Open architecture

One inference layer across GPUs, XPUs, and clouds. No vendor lock-in, no rebuild when hardware changes.

03

Production governance

SLO classes, tenant isolation, audit logs, and usage reporting — governed inference from day one.

Performance vs vLLM

Throughput
4.2×
vLLM1.0×
NR-NEXUS4.2×
Time to first token
vLLM1.0×
NR-NEXUS7.0×
Queries per second
3.8×
vLLM1.0×
NR-NEXUS3.8×

Models

Any open model. Any hardware.

Serve the models your teams want and swap without re-architecting.

See it on your own workload.

One model. One week. Measure the cost and performance impact on your own infrastructure.