QNX Launches QNX Hypervisor 8.0 to Accelerate Embedded Software Development | BB Stock News

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May 28, 2025
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  • BlackBerry's QNX division unveils QNX Hypervisor 8.0, enriching software development for embedded systems.
  • By 2030, 90% of vehicles are expected to require hypervisor technology, underscoring market potential.
  • QNX Hypervisor is already utilized by major automakers, including BMW, Honda, Mercedes-Benz, and Toyota, in millions of vehicles.

QNX, a division of BlackBerry (BB, Financial), has announced the release of QNX Hypervisor 8.0, an advanced solution for embedded virtualization, which is pivotal in the development of software-defined vehicles. Built on the QNX Software Development Platform 8.0, it allows multiple operating systems such as Android, Linux, and QNX to run simultaneously on a single system-on-chip (SoC).

The newest version of QNX Hypervisor combines the direct hardware access associated with Type 1 hypervisors with the flexibility found in Type 2 hypervisors, delivering comprehensive virtualization capabilities. These include support for virtual memory, CPUs, and interrupt controllers. This hybrid model facilitates the development of complex embedded applications by enhancing interoperability in intricate environments.

Industry experts forecast significant demand for such technology, with TechInsights projecting that 90% of vehicles manufactured by 2030 will integrate at least one domain controller or high-performance computing unit, which will benefit greatly from hypervisor technologies like those provided by QNX.

QNX technology has already been deployed in tens of millions of vehicles, trusted by leading automotive manufacturers such as BMW, Honda, Mercedes-Benz, Toyota, and Volkswagen. This positions BlackBerry strategically to capture an expanding market share in the automotive software segment.

By fostering scalable, secure, and efficient software solutions, BlackBerry's QNX continues to solidify its leadership in the embedded software industry, promising enhanced functionality for both automotive and broader IoT applications.

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