From IaaS to
managed token factories
Turn your shared GPU infrastructure into managed, revenue-generating token capacity. Higher margins, stickier customers, less idle silicon.
Llama
Qwen
DeepSeek
GPT-OSS
Mistral
KimiWhy NeoClouds
Utilize, tenant, monetize
NR-NEXUS is the software layer that turns a GPU fleet into a managed inference service — higher utilization per accelerator, real multi-tenancy, and usage you can meter and price.
Sell inference, not hours
Put a managed inference service on top of the fleet you already operate. Customers buy tokens and an SLO instead of renting raw capacity by the hour.
Raise utilization
Idle accelerators earn nothing while customers queue. NR-NEXUS packs workloads across the whole pool and keeps the fleet working — the same hardware serving more paying traffic.
Multi-tenancy that holds
Isolate customers, set an SLO class and quota per tenant, and keep a spike in one tenant from landing on everyone else as latency.
Meter and bill on real usage
Per-tenant token counts, throughput and cost, ready to price against — so a managed tier can be sold with margin you can actually see.
The Margin Shift
The same fleet, sold as a managed inference service
Providers who layer managed inference on top of bare-metal compute report materially higher gross margin on the same hardware. NR-NEXUS is the software layer that makes that tier possible.
The same 8 accelerators · nothing added
= tokens served
The operating layer
How shared pools become managed inference services
NR-NEXUS adds the operating layer between infrastructure and customer consumption.
Create a managed inference revenue layer
Package shared GPU/XPU infrastructure as serverless APIs, customer-dedicated endpoints, and private token factories.
Monetize idle capacity
Turn unused accelerators into revenue-generating API endpoints instead of hardware that draws power while it waits.
Increase output from available infrastructure
Route workloads across shared pools with tenant isolation, SLO policy and usage reporting, and optimize the inference stack per workload to improve performance and cost per token.
Differentiate beyond raw compute
Give customers governed inference access, not just bare metal — with observability, reporting, and repeatable service operations.
See what your fleet could be earning.
Operating model
Managed token production
Turn shared infrastructure into predictable, governed token delivery.
- 01
Shared GPU/XPU pools
Your fleet
Pools accelerator infrastructure across tenants and workloads.
- 02
NR-NEXUS
Inference operating system
Applies centralized intelligence, governance, and workload control.
- 03
Managed token production
The product
Converts shared infrastructure into governed, measurable token output.
- 04
Customer consumption
Your customers
Delivers governed token output to downstream users and applications.
Customer value
What your customers get
Providers keep control of output, policy, reporting and economics. Customers get API-level access to inference with SLO controls, usage visibility, tenant isolation and workload-level reporting.
Lower cost per token
Route workloads to the right execution path to serve more users with the same fleet — increasing output per accelerator and reducing waste across shared pools.
Inference as a product
Package infrastructure as serverless APIs, dedicated endpoints, or private token factories with tenant controls and usage reporting.
SLO-aware operations
Set latency, throughput, TTFT, queue time, isolation and performance targets, then validate deployment plans before production traffic.
User-facing performance
Improve TTFT, queue time and end-to-end latency for chat, agents, copilots, RAG, coding assistants and other user-facing AI services.
Deployment
Three ways to partner
Run the layer yourself, bring infrastructure to the table, or offer reserved throughput to a single customer. Either way, you keep the customer relationship.
NR-NEXUS License + Annual Support
Run NR-NEXUS on your infrastructure to launch your own managed inference service, with annual software licensing and NeuReality support.
Infrastructure Partnership
Provide GPU/XPU infrastructure while NeuReality operates dedicated inference endpoints for GenAI and SaaS customers through NR-NEXUS.
Customer-Dedicated Endpoint
Offer reserved token throughput for a customer workload with SLO controls, observability, tenant isolation and token-level reporting.
Start building your token factory.
One customer workload. One week. See the revenue impact on your own infrastructure.