New White Paper: Why Scaling AI Breaks Your Network

Download Now

Inference Operating System
for Token Factories

Transform heterogeneous AI hardware infrastructure of any scale into a governed,
production-grade token factory

Built for rapid adoption of new AI technologies into production while maximizing XPU active time and ROI

Get Started Explore NEXUS

Production Inference at Scale

Runtime
Intelligence

Optimal Execution for
Every Request

NR-NEXUS dynamically selects the optimal inference path for every request, across inference engines, disaggregation profiles, token and KV-cache aware routing, and other runtime decisions.

Optimal Execution for
Every Request

NR-NEXUS dynamically selects the optimal inference path for every request, across inference engines, disaggregation profiles, token and KV-cache aware routing, and other runtime decisions.

Open, Heterogeneous
Architecture

Hardware-Agnostic and
Future-Ready

NR-NEXUS is hardware-agnostic across CPUs, XPUs, and NICs, integrating into existing Al factories without re-architecture or vendor lock-in. It supports new Al models and frameworks so your token factory evolves seamlessly as new hardware and inference technologies emerge.

Hardware-Agnostic and
Future-Ready

NR-NEXUS is hardware-agnostic across CPUs, XPUs, and NICs, integrating into existing Al factories without re-architecture or vendor lock-in. It supports new Al models and frameworks so your token factory evolves seamlessly as new hardware and inference technologies emerge.

Production-Grade
Token Factory

Faster, Observable, and
Reliable Inference at Scale

NR-NEXUS transforms fragmented inference stacks into a governed, production-ready, multi-tenant platform with unified lifecycle management and full observability. Built-in telemetry and SLO compliance ensure reliable operations and maximum hardware utilization.

Faster, Observable, and
Reliable Inference at Scale

NR-NEXUS transforms fragmented inference stacks into a governed, production-ready, multi-tenant platform with unified lifecycle management and full observability. Built-in telemetry and SLO compliance ensure reliable operations and maximum hardware utilization.

NR-Nexus: A Modular Approach for Highly Efficient Deployment

Worker optimizes node-level execution, Orchestrator scales nodes into optimized cluster-level distributed execution, and Governor manages all inference requests in a rule-based, secured, and observable manner.

If inference feels brittle,
it’s not your hardware.
It’s the stack.

Inference at scale demands a unified system

Get Started

Core Capabilities of the NR-NEXUS Token Factory

LLM, Multimodal, and Agentic inference pipelines

Inference serving and model optimization

Distributed Inference execution

Kubernetes-based orchestration, autoscaling, and load balancing

AI-native networking and routing

Unified observability and lifecycle operations

Optimize Your Inference with the Industry’s Most Advanced Algorithms and Techniques for Performance, Latency, and Economics

Get Started

Performance

  • Prefill/Decode disaggregation for LLMs
  • Encode/Prefill/Decode for multimodal models
  • Dynamic parallelism across pipeline, tensor, data, context, and experts

Memory and Cache

  • KV cache sharing across instances
  • Prefix caching to reduce repeat compute
  • LMCache integration, embedding, and custom KV connectors

The levers that determine inference latency, tokens per second, and cost per token

Built for AI Factory Operators Delivering Production-Grade Inference at Scale

NeoСlouds

Manage your transition from IaaS to PaaS and SaaS offerings

Extend your marketplace with Token Factory OS for enterprise customers

Manage your transition from IaaS to PaaS and SaaS offerings

Extend your marketplace with Token Factory OS for enterprise customers

Enterprise

Transition from consuming high-cost proprietary models to owning your private token factory with open source models

Focus on AI adoption across your lines of business while relying on a production-grade, lifecycle-governed token factory ready for your choice of hardware, models, deployment KPIs, and full end-to-end control and visibility

Transition from consuming high-cost proprietary models to owning your private token factory with open source models

Focus on AI adoption across your lines of business while relying on a production-grade, lifecycle-governed token factory ready for your choice of hardware, models, deployment KPIs, and full end-to-end control and visibility

Semiconductors

Couple your XPU stack and rack-scale offering with a complete token factory stack optimized to accelerate silicon monetization

Deliver the highest XPU active time to your customers beyond a single XPU, server node, or rack across any model size and mixture of distributed AI pipelines

Couple your XPU stack and rack-scale offering with a complete token factory stack optimized to accelerate silicon monetization

Deliver the highest XPU active time to your customers beyond a single XPU, server node, or rack across any model size and mixture of distributed AI pipelines

Get Started
Background

Built for Production: Inference at Enterprise Scale

Take control of your inference economics

Evaluate NR-NEXUS in your cluster

Get Started

Multi-node and multi-rack ready

Deploy on-prem or in the cloud