QNX and NVIDIA deepen collaboration to advance safety‑critical edge AI across robotics, medical, and industrial systems
At Hannover Messe, QNX, a division of BlackBerry, announced an expansion of its collaboration with NVIDIA to enable developers to build and deploy next‑generation, safety‑critical edge AI systems on NVIDIA IGX Thor. The expanded relationship sees QNX OS for Safety 8.0 integrated with NVIDIA IGX Thor and Halos Safety Stack, combining QNX’s deterministic real‑time operating system with NVIDIA’s functional safety platform to support regulated, AI‑enabled systems across robotics, medical technologies, industrial applications and more.
NVIDIA IGX Thor is designed to support the demanding compute, functional safety, and reliability requirements of edge AI systems deployed in regulated environments, from autonomous mobile robots (AMRs) to humanoids, surgical robotics, medical imaging, and industrial automation platforms. When combining NVIDIA IGX Thor Halos Safety Stack with QNX OS for Safety 8.0, developers can consolidate real‑time controls and safety concepts on a deterministic, microkernel‑based RTOS while using NVIDIA accelerated compute for AI‑driven capabilities such as perception, planning, and decision‑making. This unified mixed-criticality approach consolidates system architectures, supports safety certification processes, and enables rapid, scalable development from early prototypes through production deployment.
The new milestone extends QNX’s long‑standing relationship with NVIDIA and builds on their recent announcement highlighting the integration of QNX OS for Safety 8.0 with the NVIDIA DRIVE AGX Thor Development Kit which aims to accelerate automotive and autonomous vehicle development.
QNX provides foundational software that helps simplify the most complex challenges in industries such as robotics, automotive, medical devices, industrial controls, commercial vehicles, rail, and aerospace and defence. QNX empowers organisations to unlock new possibilities in areas like high-performance computing at the edge, standards-based virtualisation technologies, and cloud enablement.
