How Does NeuRealityMake AI Easy?

NeuReality makes AI easy by helping deploy and scale Inference workflows with purpose-built solutions in hardware and software for AI.

Easier to Deploy

Out-of-the-box orchestration and management support

Easier to Use

Tools and mechanisms from input of model to output of inference

Easier to Afford

Purpose-built to avoid expensive CPUs and lower Total Cost of Ownership

Easier to Manage

Smaller footprint, less complex, fewer acoustic issues

NeuReality Unleashes AI

Ease of use

NeuReality’s approach is based around customer satisfaction, with a particular focus around ease of use:
• Automates optimization, deployment and serving processes
• Reduces segmentation between various frameworks, programming languages and application types and enables complete pipeline processing
• Serves customers with various levels of expertise in AI. Provides opportunity for extension and enables customers to implement complex customizations

Non-disruptive to processes and procedures

NeuReality works with your existing development processes and IT procedures:
• Does not disrupt development processes and enables AI developers to continue working within their favorite development environment
• Does not disrupt IT procedures and enables IT teams to integrate new AI services into the existing data center ecosystem quickly and efficiently

Affordable AI services

In terms of both initial investment, total cost of ownership (TCO), and the best price/performance – measured by AI token output per dollar and per watt – NeuReality reduces the cost barriers that shut out over 60% of enterprise and small-medium business today (source: Exploding Topics, March 2025)

How Our Software Makes Inference Easy

Three types of software are necessary for a complete AI inference system, but most vendors today don’t try to address all of these pain points for inference consumers. To properly enable inference serving, the software must be part of a holistic solution that can handle everything from the model to the user experience.

Only NeuReality provides all three levels of software needed for complete systems to be created for AI inference.

  • Model: NeuReality provides holistic AI inference model execution which enhances the inference system to handle any trained model
  • Media Processing: NeuReality provides full AI pipeline offload tools and runtime for processing the media
  • Interface: NeuReality provides server interface application that connects to any environment to provide inference service

With this software, AI consumers can fully integrate into the existing cloud ecosystem, including virtualization, scaling, monitoring, multi-tenancy, security, etc.

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Handle any Deep Learning Model

Handle any Deep Learning Model

Currently, most AI Accelerators have deficiencies and missing functionalities, so they can’t support the full offload of Pytorch/TensorFlow AI models. They run from within the frameworks or rely on the user to partition what parts of the models will run on the AI Accelertaor versus the host CPU. By relying on the CPU to handle the implementation in software later, bottlenecks are created.

NeuReality offers a new class of AI-CPU that focuses on inference orchestration – which provides holistic AI model execution, and enhances the inference system to handle any trained model. Our NR1 Orchestration Chip can handle all GPUs, ASICs, and FPGAs driving their utilization from <50% today with CPU-centric architecture to nearly 100%.

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Run the whole AI pipeline in hardware

Run the whole AI pipeline in hardware

Use cases have a sequencing of pre- and post- processing stages. There are no good software tools that cover this today. Since AI Accelerators don’t support this offload, bottlenecks are created in the CPU to support this pipeline. Moreover, there aren’t good software tools or frameworks that cover the pipeline compilation and partitioning today.

NeuReality provides full AI pipeline offload tools and runtime for processing the media. Our software handles complete AI pipeline processing including data processing that is needed both before and after deep learning processing and sequencing of these processor steps. And with our new AI-CPU, you will seen dramatic improvements in energy and cost efficiency resulting in 50-90% price/performance gains versus GPUs that run on CPU-centric architecture.

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Interface every Inference Server

Interface every Inference Server

Today’s enterprise customers need a way to interface the management, provisioning, runtime inference requests. Today, most GPU and AI Accelerator suppliers leave it to each customer to implement on its own or purchase it from a software vendor.

NeuReality provides the server interface application that connects to any environment to provide inference service. Our platform connects the interface server to the network of the data center or non-premise IT infrastructure, as well as connect and comply with Kubernetes for orchestration and provisioning. With a simple and easy user experience, this software covers management and control, including model provisioning orchestration, multi-model and multi-client support, and monitoring. Our application programming interfaces (APIs) reduce the complexity of optimizing, setting up, and operating an inference task.

In short, NeuReality optimizes AI usage and makes its setup easy for both inexperienced and sophisticated users. NeuReality helps you easily develop, validate, and deploy inference workloads.