We Make AI Shine

NeuReality is reimagining AI infrastructure to eliminate system bottlenecks and unlock the full potential of GPUs
Released from the shackles of legacy architectures, we prioritize Infrastructure Cost and Energy Efficiency and End User Experiences, Transforming AI from a promising technology into Practical and Impactful Business Value.

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NR-NEXUS

The Inference OS for Token Factories

Orchestrates models, runtimes, and workloads across hyperscale clouds, GPU clusters, and heterogeneous XPU infrastructure.
Unifies observability, governance, and intelligent workload routing to maximize accelerator utilization and bring new AI technologies into production faster.

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NR2 AI-SuperNIC

Purpose-Built Scale-Out Networking Silicon for AI Factories

Networking silicon designed to eliminate data-movement bottlenecks in large-scale AI infrastructure.

Accelerates data exchange between distributed GPUs and XPUs to maximize utilization and sustain high-throughput token generation across AI factories.

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Meet our Infrastructure Solutions

NEXUS

Inference Operating System for Token Factories

  • Transform heterogeneous AI hardware infrastructure at 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
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Inference Operating System for Token Factories

  • Transform heterogeneous AI hardware infrastructure at 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
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AI-SuperNIC

High performance Networking Engineered for AI Factories

  • Seamless scale to giga-factories – 1.6 Tbps throughput, ultra-low latency, and UEC support for efficient growth at any scale
  • Maximized GPU utilization – in-network compute offloads collectives, freeing GPUs to focus fully on AI workloads
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AI-Native Networking Engine for Token Factories

  • Transform distributed GPU and XPU clusters into a high-throughput token factory by eliminating networking bottlenecks and accelerating data movement across nodes, racks, and clusters
  • Built to maximize GPU active time and infrastructure ROI with deterministic, ultra-low-latency networking, in-network compute, and open Ethernet-based AI networking that avoids proprietary fabric lock-in
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AI-CPU

The first AI-CPU, Engineered for inference at scale

  • Combines ARM based CPU with media
    processors and orchestrated by AI-Hypervisor
  • Pairs with any GPU or alterative XPU
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The first true AI-CPU engineered for inference at scale

  • Combines compute, networking, orchestration, integrated media processors, and hardware-driven AI-Hypervisor IP on a single chip
  • Pairs with any AI Accelerator – GPU, FPGA, ASIC – and any AI model
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AI-Inference Appliance

Purpose built for AI Inference

  • Doubles GPU Utilization for optimal efficiency
  • Preloaded with generative and agentic AI-Models
    for TTM
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First server purpose-built for AI inference marrying software and hardware

  • Doubles average GPU utilization to nearly ~100% vs traditional CPU-reliant systems
  • Comes pre-loaded with generative and agentic AI models for 3x faster time-to-value
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Join Us to Transform your AI Infrastructure

“Today, global AI adoption is only 42%, with US even lower at 33%” (Exploding Topics, May 2025)
We aim to remove barriers to deployment allowing you to scale your business with the power of AI faster

Unlock your GPUs

Our open vendor agnostic tech makes any GPU run faster

Our open vendor agnostic tech makes any accelerator, like GPU, run faster and work harder

Empower AI Models

With out of the box optimized models and backends for common AI Frameworks

Simplify complex AI infrastructure, so models deliver more and reach full potential with ease

Accelerate your AI adoption

To boost TTM and business value

By accelerating AI workloads, we boost business value and ROI

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NeuReality in the News

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Test & Try Before You Buy

Test your AI models on NR1 in our cloud environment to see the competitive advantage over legacy CPU-reliant inference systems

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