The era of Physical AI is here. From autonomous mobile robots navigating dynamic factory floors to precision surgical robots operating in mission-critical environments, machines are increasingly interacting with the physical world in real-time. This unforgiving environment leaves zero margin for error. Where software dictates physical movement, safety, determinism, and absolute resilience must serve as the very foundation of the system.

ABI Research has now recognized QNX as the Overall Leader in its competitive ranking of Commercial Real-Time Operating Systems (RTOS) for Robotics Functional Safety, earning the number one spot with an overall score of 87.1. QNX was also awarded the title of Top Innovator.

Architecture Built for Physical AI

To power complex robotic systems where failure is not an option, the underlying architecture must be fundamentally resilient and secure. The defining innovation of QNX is its true microkernel architecture. Unlike monolithic kernels, where drivers and system services run in the same privileged space as the core scheduler, QNX runs nearly everything, from protocol stacks to file systems, as isolated, memory-protected processes in the user space. This design provides immense fault containment. A failure in a secondary sensor or logging service cannot corrupt the core kernel or critical processes, like a motor controller.

This strict architectural discipline is what makes QNX the ultimate enabler for Physical AI. It allows developers to safely bridge the gap between deterministic control and advanced machine learning:

• AI/ML Integration: QNX enables the integration of popular artificial intelligence frameworks, such as TensorFlow Lite and PyTorch, entirely within resource-controlled partitions.
• Mixed-Criticality Workflows: Through the QNX Hypervisor, developers can host safety-critical QNX partitions right alongside guest operating systems like Linux.
• Open-Source Enablement: This allows robotics engineers to leverage vast open-source ecosystems, like the Robot Operating System (ROS), without compromising the integrity of the safety-certified components.

Proven Implementation Across the Global Ecosystem

Visionary architecture only transforms industries if it can be reliably deployed. QNX's position as a Top Implementer is built on our commanding standing in markets that demand the highest levels of reliability. Its credibility is anchored by an extensive portfolio of safety certifications, including IEC 61508 for industrial applications, ISO 26262 for automotive, and IEC 62304 for medical devices, achieving up to SIL 3/ASIL D.

QNX also provides exceptionally tight integration with the safety and security features of modern hardware. Its market position is reinforced by deep-seated partnerships with virtually every major silicon vendor relevant to the robotics industry, including NVIDIA, NXP, Texas Instruments, Qualcomm, Intel, and AMD/Xilinx. This extensive hardware support ensures developers can deploy QNX on a broad spectrum of the latest highly efficient and high-performance Systems-on-Chip (SoCs).

Powering the Future of Autonomous Systems

As the robotics industry rapidly evolves toward highly autonomous, AI-driven physical systems, the need for a scalable, certifiable, and deterministic foundation is paramount. QNX delivers this through a pre-emptive, priority-based scheduler that ensures high-priority tasks meet their deadlines with microsecond-level determinism.

QNX is honored to be recognized by ABI Research as the leader in this critical space. We will continue to empower organizations to unlock new possibilities, providing the invisible but essential foundation where software-defined innovation meets uncompromising functional safety.