Automotive on RTOS

QNX Hypervisor: Mixed-Criticality Systems on One SoC

Wed, 01 Apr 2026 23:33:36 +0800

QNX Hypervisor: Mixed-Criticality Systems on One SoC

🌍 Background: Convergence of Workloads in Safety-Critical Systems
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Modern embedded platforms are undergoing a fundamental shift toward workload consolidation. In domains such as automotive, aerospace, robotics, and industrial automation, multiple heterogeneous applications must now coexist on a single high-performance system-on-chip (SoC).

QNX Hypervisor 8.0: Safety Platform for Physical AI Systems

Sat, 14 Mar 2026 19:26:05 +0800

QNX Hypervisor 8.0: Safety Platform for Physical AI Systems

On March 13, 2026, BlackBerry QNX released QNX Hypervisor 8.0 for Safety, a next-generation virtualization platform built for mission-critical environments. As industries transition toward Physical AI—where systems must interact with the real world in real time—this platform provides a certified foundation for safely consolidating complex workloads.

QNX RTOS: 45 Years Powering Mission-Critical Systems

Sun, 01 Mar 2026 18:29:13 +0800

QNX RTOS: From University Lab to Global Infrastructure Backbone

The story of QNX spans more than four decades — beginning as a university research project in Canada and evolving into one of the world’s most trusted real-time operating systems (RTOS). Today, QNX quietly powers spacecraft, industrial robots, medical systems, and hundreds of millions of vehicles worldwide.

BlackBerry QNX: Efficiently Harnessing Hardware Performance in Automotive Electronics

Fri, 27 Feb 2026 23:36:27 +0800

BlackBerry QNX: Efficiently Harnessing Hardware Performance in Automotive Electronics

In modern automotive E/E architectures, the industry is undergoing a fundamental transformation. The shift toward domain controller consolidation, central compute platforms, and ultimately zonal architectures is reshaping how performance is extracted from hardware.

QNX SDP 8.0 vs 7.1: HPC Leap for Software-Defined Vehicles

Sun, 04 Jan 2026 16:38:04 +0800

🚀 QNX SDP 8.0 vs. 7.1: A Generational Shift for Software-Defined Vehicles
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The transition from QNX SDP 7.1 to QNX SDP 8.0 is not an incremental update—it represents a ground-up architectural redesign to support the high-performance computing (HPC) demands of modern, software-defined vehicles (SDVs). As automotive platforms consolidate dozens of ECUs into centralized compute domains, operating system scalability, determinism, and security become mission-critical.

Secure ECU Software Upgrades Using QNX and Linux

Sat, 03 Jan 2026 17:43:41 +0800

As automotive systems become increasingly software-defined, Electronic Control Units (ECUs) now govern everything from powertrain control to digital cockpits and infotainment. Keeping ECU software up to date is essential for safety, performance optimization, and feature enhancement.

Why QNX Powers Self-Driving Cars: The RTOS Behind 235M Vehicles

Sun, 09 Nov 2025 17:12:02 +0800

Discover why QNX RTOS powers over 235 million vehicles, enabling autonomous driving, safety-critical systems, and real-time performance in modern automotive platforms.

Accelerating Embedded Software Testing With Modular Automation

Wed, 15 Oct 2025 00:21:02 +0800

Explore how a modular, nondisruptive testing framework can seamlessly integrate into your existing development environment with no rip and replace required. By eliminating common challenges tied to traditional testing approaches, such as hardware dependencies, simulation complexity, and test coverage limitations, this approach enables teams to enhance efficiency without overhauling their toolchain. We will walk through real-world applications, including insights from a leading Tier 1 supplier, to show how these capabilities translate to measurable efficiency gains in embedded DevSecOps pipelines.

VxWorks: The Complete Set of Tools for the Modern Developer’s Journey

Sun, 24 Aug 2025 21:40:48 +0800

VxWorks offers a complete set of tools for the modern developer’s journey, combining real-time reliability with modern frameworks, cloud-native development, AI/ML at the edge, and support for Rust, Python, and C++. It’s the future-ready platform for embedded software innovation.

VxWorks for Automotive

Mon, 06 Jan 2025 23:33:07 +0800

Proven in Hundreds of Safety-Critical Projects Across Multiple Industries and Certification Standards

Automotive Challenges
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Maintain high reliability despite growing complexity
Reduce space, weight, cost, and power consumption
Lower the cost of safety certification
Deliver real-time performance
Implement comprehensive cybersecurity
Increase computing flexibility and performance

Why VxWorks
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Secure software isolation
Smaller, lower-cost systems through workload consolidation
Off-the-shelf certification evidence
Time- and space-based application separation and isolation
Integrated, world-class security capabilities
Support for a wide variety of processors security capabilities

Automotive Industry Snapshot
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The automotive industry is evolving at a rapid pace as vehicles become more connected and autonomous, requiring higher levels of computing power to run a growing number of software applications. Electronic systems are also growing more complex as a result of the need to maintain freedom from interference among system functions without sacrificing system performance, integrity, and scalability. Car manufacturers and suppliers face a difficult challenge in ensuring that system integrity is maintained, but they must also be mindful of the impact of their design choices on the cost of the vehicle system. With the rising focus on electrification in the vehicle, this balance becomes more complicated, as system weight and power consumption will have an increasingly critical impact on the vehicle’s ability to deliver value to end consumers.

VxWorks & TI Boost Automotive Edge AI

Mon, 19 Aug 2024 21:42:28 +0800

🚗 VxWorks & TI Boost Automotive Edge AI
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Artificial Intelligence (AI) and Machine Learning (ML) are redefining the automotive industry. As vehicles evolve into intelligent, software-defined systems, real-time operating systems (RTOS) like VxWorks and high-performance processors such as Texas Instruments’ TDA4VH-Q1 are driving the next leap forward in automotive edge AI computing. Together, they enable advanced driver-assistance systems (ADAS), autonomous navigation, and real-time perception with unparalleled reliability and speed.

Automotive on RTOS

QNX Hypervisor: Mixed-Criticality Systems on One SoC

🌍 Background: Convergence of Workloads in Safety-Critical Systems #

QNX Hypervisor 8.0: Safety Platform for Physical AI Systems

QNX RTOS: 45 Years Powering Mission-Critical Systems

BlackBerry QNX: Efficiently Harnessing Hardware Performance in Automotive Electronics

QNX SDP 8.0 vs 7.1: HPC Leap for Software-Defined Vehicles

🚀 QNX SDP 8.0 vs. 7.1: A Generational Shift for Software-Defined Vehicles #

Secure ECU Software Upgrades Using QNX and Linux

Why QNX Powers Self-Driving Cars: The RTOS Behind 235M Vehicles

Accelerating Embedded Software Testing With Modular Automation

VxWorks: The Complete Set of Tools for the Modern Developer’s Journey

VxWorks for Automotive

Automotive Challenges #

Why VxWorks #

Automotive Industry Snapshot #

VxWorks & TI Boost Automotive Edge AI

🚗 VxWorks & TI Boost Automotive Edge AI #

🌍 Background: Convergence of Workloads in Safety-Critical Systems
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🚀 QNX SDP 8.0 vs. 7.1: A Generational Shift for Software-Defined Vehicles
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Automotive Challenges
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Why VxWorks
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Automotive Industry Snapshot
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🚗 VxWorks & TI Boost Automotive Edge AI
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