Why We StartedNeuReality
Implementing AI is hard.
We’re a team of system level engineers that have come together to make it easy to deploy, manage, and scale AI workflows.
We’re excited about the immense and diverse opportunities that AI creates – in generative and agentic AI, computer vision, and multi-modal models across language, images, video, audio and more.
Barriers to Widespread AI Adoption
Many inference possibilities can’t be fully realized and deployed due to the cost and complexity associated with building and scaling AI systems.
Existing AI solutions are not optimized for inference. Training pods have poor inference efficiency, while inference servers are complex and have high overhead and bottlenecks.
General purpose hardware is not designed for AI
Today’s approach is based on a general-purpose CPU that was not designed for AI. This adds cost, increases power consumption, and contributes to system bottlenecks for AI inference.
NeuReality introduce a new class of AI-CPU purpose-built for AI inference orchestration. Our NR1 chip pairs with any AI Accelerator to super boost utilization from <50% today with CPU-centric architecture to nearly 100%. This translates to high cost and energy efficiency – and more AI token output for the same cost and power envelope.
AI requires people with specialized skills
Deploying a trained AI model is time intensive, technically complex, and requires multiple skill sets.
Most AI Accelerator vendors don’t offer tools to help—which places additional demand on staff.
Orchestration tools aren’t designed for AI
Cloud resources are dynamically managed using orchestration tools. Most AI solutions are opaque and don’t allow orchestration tools to have visibility into AI workloads.
CPU-centric approaches don’t scale well
CPU-centric architectures require multiple hardware components: NIC, CPU, and GPU.
Furthermore, these GPUs – or any AI Accelerator – aren’t fully utilized due to CPU performance bottlenecks.
We’ve changed that with our AI-CPU which subsumes the CPU/NIC into one – with 6x the performance punch with high server density, cost and energy efficiency.
We Make It Easy
Holistic solution for inference
Our solution, complete with purpose-built software and our NR1 chip – the first true AI-CPU purpose-built for inference orchestration. NR1 delivers better performance, scalability and and highter AI token output for the same cost and power vs traditional CPU architecture.
How we make AI easy
With our unique network-connected approach and software integration tools, we make it easier to deploy, afford, use, and manage AI.