Run AI Anywhere

Edge, on-prem, or cloud

Any hardware

No compromises

GPU GPU GPU CPU CPU CPU OpenInfer Distributed Inference

You have the compute. It's already out there, OpenInfer makes it think together

End-to-end enterprise inference
structure that connects distributed,
heterogeneous edge compute – CPUs, GPUs,
NPUs – into one coordinated AI system

What if AI was :

Low Cost

Maximize ROI

Sovereign

Your control

Reliable

Always-on

To achieve this,
AI must run where data lives
— on Edge

What if Edge could be :

Hardware

Agnostic

Easy

To Deploy

Resource

Unbound

Meet OpenInfer

A full-stack enterprise inference infrastructure that turns your distributed edge compute into one coordinated AI system — without moving your data, changing your models, or replacing your hardware.

Built on top of custom distributed inference, enabling fragmented heterogeneous nodes (NPUs, CPUs, GPUs) to mesh together for running large model inference. We unlock inference to run where previously AI could not operate.
Built with simple deployment with full enterprise quality maintainability in mind, we remove adoption hurdle.
Real AI collaboration isn’t a feature, it is infrastructure. OpenInfer keeps agents, operations, and systems in sync, learning together, with the resilience and security required for mission-critical and sovereign environments.
Data doesn’t move, you maintain your sovereignty, cost is reduced, model accuracy is not affected. This is a paradigm shift. AI needs to come to where the data is, without losing quality rather than shoving data to where the compute is.

Performance

Proven at the Edge

Real benchmarks on commodity hardware — the kind already sitting in your infrastructure.

Learn more

Memory Unlock

Reliable: Inference on Constrained Systems

4× AWS Intel Xeon VMs · 8GB RAM each · ~700µs latency

OpenInfer 4.49 tok/s
Llamacpp
200X
Faster

Large Model at Edge

Cost: Inference on Fragmented Compute

4× AWS Intel Xeon VMs · 32GB RAM each · ~700µs latency

OpenInfer 1.3 tok/s
Llamacpp Failed
Unlock
Always On Agents

Mixed Topology

Scalability: Inference Across PC's

2 PCs, one with 2 GPUs, one with 1 GPU, over Ethernet

OpenInfer ~ 10 tok/s
vLLM Failed
Unlock
A New Category

Who we are

Our mission is to bring AI to every physical surface, where the data lives

5

Silicon Architectures,
One Runtime

60%

Unlocking of Idle
Enterprise CPU

AI Experts

We are a team of distributed systems veterans who have designed and shipped enterprise-scale infrastructure at Meta, Google, IBM, and Apple

Edge in Mind

Starting with large language models and expanding to vision and world models across CPUs, GPUs, NPUs, and custom silicon.

Simply Deploy

We have unlocked a massive opportunity in unused compute, enabling inference at dramatically lower cost. From private data centers to on-premise infrastructure, openInfer customers are already seeing the difference.

OpenInfer Partners

Who it's for?

Sovereign AI & Tactical Edge

"Disconnected Autonomy"

High-reasoning inference in air-gapped zones where cloud connectivity is a liability, not an option. Defense and Primes, National Security, Intelligence, Emergency Response, and Tactical Command Centers.

Industrial Edge & Remote Infrastructure

"The IT/OT Intelligence Bridge"

Harvest "dead compute" from remote sensors and factory-floor servers to run real-time local agents without bandwidth lag. Oil & Gas, Mining, Smart Manufacturing, Logistics, and Smart Warehousing.

Secure Enterprise & Local Workspace

"The Private Agentic Mesh"

Eliminate the cloud "Agentic Tax" and data-leak risks by running massive 70B+ models on your existing AI PCs and idle office workstations. SMBs, Financial Services, Healthcare, Legal, and Distributed Remote Teams.

OpenInfer Whitepaper

Access the OpenInfer Runtime Infrastructure Architecture
Whitepaper to learn how we're redefining inference at the edge