The Power to Trust

Software Foundation for Physical AI​

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Where intelligence meets trust, QNX makes physical AI possible.
Software Foundation for Physical AI​
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Foundational Trust for the Autonomous Era
Physical AI is raising the bar for how intelligent machines must operate in the real world, and QNX provides the proven software foundation that allows these systems to function safely, predictably, and at scale. QNX is not simply supporting the rise of physical AI. QNX is the vehicle powering it.

Physical AI

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What is Physical AI?

Physical AI brings intelligence into the real world, enabling vehicles, robots and machines to perceive, decide and act. But when software controls physical systems, intelligence alone is not enough. These systems also need a secure, deterministic foundation that delivers predictable performance, protects critical workloads, and helps turn intelligent capabilities into dependable real-world action.
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Autonomous Robotics

Autonomous robotics is redefining how intelligent machines interact with the physical world. Beyond advanced perception and AI reasoning, robots need precise control, real-time responsiveness and dependable operation in unpredictable environments. QNX brings these capabilities together through a trusted software foundation engineered for safety, security and determinism, giving developers the confidence to build autonomous systems that behave predictably, scale reliably and perform where failure is not an option.
Autonomous robotics
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Autonomous Vehicles

Autonomous vehicles must continuously interpret complex environments, make intelligent decisions, and respond safely in real time. As driving functions become more sophisticated, dependable operation is just as critical as AI capability. QNX provides the secure, deterministic software foundation needed to manage critical workloads predictably, isolate essential functions, and support precise, time-sensitive execution, helping automakers move autonomous driving technologies from development towards safe, scalable real-world deployment.
Autonomous vehicles
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The Power of QNX: The Foundation for Physical AI

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Predictable AI Performance Starts with the Operating System

4.1%
Higher throughput
More frames processed per second.
3.9%
Lower end-to-end latency
Lower average end-to-end latency.
14x
Tighter consistency
Less variation across test runs.
A comparative benchmark of embedded NPU inference performance on Hailo-8
You'll learn:
  • How the operating system influences inference performance, including throughput, end-to-end latency, and inference-only latency.
  • Why timing consistency matters for Physical AI, particularly when teams must define timing budgets and support validation or assurance arguments.
  • How QNX and PREEMPT_RT Linux compared across one million measured inferences per operating system on the same hardware and workload.
Download the White Paper
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Report

Inside the Robot: Architecture Benchmark Report

Based on a survey of 1,000 developers worldwide, the research reveals the most significant inhibitors to progress and the gap between system ambitions and current capabilities.
Inside the Robot - Robot Architecture Report
Read the Report
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Blog

QNX Named Overall Leader in Robotics RTOS

A new report from ABI Research ranks QNX #1 in innovation for robotics functional safety, cementing its role as the foundation for the next generation of intelligent systems.
QNX Named Overall Leader in Robotics RTOS
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As robotics, medical, and industrial systems become more autonomous and software-defined, safety and determinism cannot be afterthoughts. Integrating QNX OS for Safety 8.0 with NVIDIA IGX Thor and NVIDIA Halos Safety Stack brings together a trusted real‑time safety foundation and a powerful functional safety platform for edge AI. This expanded collaboration builds on our work with the NVIDIA DRIVE AGX Thor Development Kit and extends the same proven architecture from automotive into the next wave of regulated, intelligent systems.
John Wall
President, QNX
Robotics is at an inflection point where artificial intelligence is no longer confined to screens or simulations but is increasingly expressed through physical movements in shared real-world environments where the safety stakes are incredibly high. QNX provides the deterministic software foundation that makes this new era of Physical AI trustworthy, whether you are experimenting with a low‑cost robotic prototype or deploying advanced commercial systems in safety‑critical environments.
Carsten Hurasky
Senior Vice President and Chief Marketing Officer, QNX
Carsten Hurasky, Senior VP and Chief Marketing Officer, QNX
As organizations accelerate their move toward software‑defined and Physical AI architectures, they cannot compromise on safety, predictability, or development speed. QNX Hypervisor 8.0 for Safety delivers the foundation they need to meet these demands, and the commitments we are seeing from leading automotive and medical customers reflect the real‑world value of this platform.
Grant Courville
SVP of Products and Strategy, QNX
Grant Courville, SVP of Products and Strategy, QNX
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Physical AI Resources

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White Paper
Ensuring Functional Safety in Robot Systems Development
AI-driven systems can predict potential issues, like a worker’s movement in a warehouse, using advanced analytics, enhancing responsiveness in dynamic environments.
Ensuring Functional Safety in Robot Systems Development
Read the White Paper
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Blog
Why Software Architecture is the New Bottleneck for Physical AI
A newly released Architecture Benchmark Report by QNX, which surveyed 1,000 global robotics developers, finds that hardware is no longer the primary constraint.
Why Software Architecture is the New Bottleneck for Physical AI
Read the Blog
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Podcast
How Physical AI Is Reshaping Real-World Robotics
What happens when robots leave their cages and enter the real world? In this episode, Omdia’s Lian Jye Su breaks down insights from QNX’s Inside the Robot report.
Podcast: How Physical AI Is Reshaping Real-World Robotics
Listen to the Podcast
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