NeuReality – AI Infrastructure Optimization for Maximum GPU Output
Build a Better Token Factory.
Turn AI infrastructure into production-grade inference
Govern models, runtimes, tenants,and heterogeneous compute at scale.
NR-NEXUS™
Inference Operating System for Token Factories
Turn heterogeneous GPU and XPU infrastructure into governed, production-grade inference.
Deploy new models, engines, and accelerators faster, with higher utilization, lower latency, and better cost per token.
NR2 AI-SuperNIC
AI-optimized scale-out networking for GPU and XPU clusters
Purpose-built networking silicon for distributed AI infrastructure, delivering the low-latency data movement token factories need to improve utilization and sustain high-throughput token generation at scale.
Infrastructure for Production AI
NEXUS
Inference Operating System for Token Factories
Turns heterogeneous AI infrastructure into governed production capacity, with orchestration, routing, observability, and policy controls across GPU and XPU environments.
- Govern serving, routing, utilization, latency, and cost across production inference
- Bring new models, engines, and accelerators into production without rebuilding the stack
Inference Operating System for Token Factories
Turns heterogeneous AI infrastructure into governed production capacity, with orchestration, routing, observability, and policy controls across GPU and XPU environments.
- Govern serving, routing, utilization, latency, and cost across production inference
- Bring new models, engines, and accelerators into production without rebuilding the stack
AI-SuperNIC
AI-optimized networking silicon for distributed clusters
- Seamless scale to giga-factories – 1.6 Tbps throughput, ultra-low latency, and UEC support for efficient growth at any scale
- Improve GPU active time with deterministic low-latency networking and in-network compute
AI-optimized networking silicon for distributed clusters
- Seamless scale to giga-factories – 1.6 Tbps throughput, ultra-low latency, and UEC support for efficient growth at any scale
- Improve GPU active time with deterministic low-latency networking and in-network compute
AI-CPU
Combines compute, networking, orchestration, and AI infrastructure services on a single chip for scalable inference systems.
- Combines ARM based CPU with media processors and orchestrated by AI-Hypervisor
- Supports heterogeneous AI accelerators including GPUs, FPGAs, and ASICs
Engineered for inference at scale
- Combines compute, networking, orchestration, integrated media processors, and hardware-driven AI-Hypervisor IP on a single chip
- Supports heterogeneous AI accelerators including GPUs, FPGAs, and ASICs
NeuReality in the News
Explore more
NeuReality taps former Google AI director to steer its inference operating system into the market
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Turn AI Infrastructure Into Production Capacity
Utilize More Compute
Reduce idle GPU and XPU capacity by coordinating workloads, routing, and infrastructure resources more effectively.
Reduce idle GPU and XPU capacity by coordinating workloads, routing, and infrastructure resources more effectively.
Move Data Faster
Reduce data-movement bottlenecks across distributed clusters with AI-optimized networking and scale-out silicon.
Reduce data-movement bottlenecks across distributed clusters with AI-optimized networking and scale-out silicon.
Operate With Control
Govern production inference with better visibility into latency, throughput, utilization, and cost.
Govern production inference with better visibility into latency, throughput, utilization, and cost.
NR-NEXUS™ Deployment Paths
Serverless API
- Start in Hours
- No infrastructure
- Pay per token consumed
- Ideal for teams moving fast
Managed Deployment
- Dedicated capacity
- Fully Managed by NeuReality
- Enterprise SLAs
- Predictable economics
Annual License
- Managed or owned laaS
- Private infrastructure option
- Full token factory control
- Best for platform teams