QNX and Hailo Join Forces to Advance Reliable Physical AI at the Edge

Rhea-AI Summary

BlackBerry (NYSE:BB), through its QNX division, announced support for the Hailo-8 AI Accelerator on the QNX Software Development Platform 8.0, broadening hardware options for AI-powered edge systems that require high performance, reliability, and deterministic real-time behavior.

According to QNX, combining its real-time operating environment with Hailo’s edge AI processors is aimed at enabling “Physical AI” in mission- and safety-critical applications such as automotive, robotics, medical devices, industrial automation, and smart infrastructure. A joint benchmark on a Raspberry Pi 5 with Hailo-8 compared QNX SDP 8.0 to a real-time Linux setup and showed AI workloads on QNX delivering up to 14x greater performance consistency, 2.6x tighter latency distribution, 4.1% higher throughput, and 3.9% lower average latency. QNX highlights this as evidence that its platform can help developers build AI systems that are not only fast but also predictable and reliable for real-world operations.

Market Reaction – BB

+6.93% $8.33 1.6x vol

15m delay

+6.93% Vs previous close

$8.33 Last Price

$7.84 $8.36 Day Range

$4.88B Market Cap

1.6x Rel. Volume

Following this news, BB has gained 6.93%, reflecting a notable positive market reaction. Our momentum scanner has triggered 20 alerts so far, indicating elevated trading interest and price volatility. The stock is currently trading at $8.33. Trading volume is above average at 1.6x the average, suggesting increased trading activity.

Data tracked by StockTitan Argus (15 min delayed). Upgrade to Gold for real-time data.

Market Context

AI-tagged events averaged 4.22%, but reactions ranged from -1.16% to 13.17%. That record places this...

Analysis

AI-tagged events averaged 4.22%, but reactions ranged from -1.16% to 13.17%. That record places this Hailo-8 announcement in an uneven precedent set; recent Net Selling is a risk to monitor.

Key Figures

Performance consistency: 14x greater Latency distribution: 2.6x tighter Throughput: 4.1% higher +3 more

6 metrics

Performance consistency 14x greater QNX OS versus a real-time Linux environment

Latency distribution 2.6x tighter QNX OS benchmark

Throughput 4.1% higher QNX OS benchmark

Average latency 3.9% lower QNX OS benchmark

AI accelerator Hailo-8 Supported on QNX SDP 8.0

Software platform SDP 8.0 QNX Software Development Platform

Previous AI Reports

5 past events · Latest: May 27 (Positive)

Same Type Pattern 5 events

Date	Event	Sentiment	24h Move	Catalyst
May 27	AI research release	Positive	+3.0%	QNX research identified software architecture as a leading robotics performance bottleneck.
May 06	AI conference showcase	Positive	+7.0%	QNX presented deterministic robotics software and announced a 1,000-developer benchmark report.
Apr 20	AI collaboration expansion	Positive	+13.2%	QNX expanded its NVIDIA collaboration for safety-critical edge AI systems.
Mar 10	AI platform launch	Positive	-0.9%	QNX announced general availability of its safety-certified Physical AI hypervisor.
Feb 17	AI technology showcase	Positive	-1.2%	QNX scheduled demonstrations of robotics and Physical AI software at Embedded World.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

AI-tagged announcements produced three positive reactions and two negative reactions, indicating inconsistent historical alignment.

Key Terms

edge ai, deterministic real-time behavior, latency distribution, throughput

4 terms

edge ai technical

"combines advanced edge AI with predictable real-time performance"

Edge AI refers to artificial intelligence systems that process data directly on local devices or nearby servers rather than sending information to distant data centers. This allows for faster decision-making and real-time responses, similar to how a home security camera can instantly detect motion without needing to connect to a remote server. For investors, edge AI represents a growing trend toward more efficient, responsive technology that can create new opportunities across various industries.

deterministic real-time behavior technical

"advanced AI performance and deterministic real-time behavior"

A system or device exhibits deterministic real-time behavior when it produces predictable, repeatable outputs within guaranteed time limits every time it receives the same inputs. Think of it like a train timetable that not only arrives at the same platform for the same schedule but also always meets its arrival time; in computing and control systems this matters for tasks where timing and predictability—rather than just average speed—are critical. For investors, it signals reliability for latency-sensitive, safety-critical, or regulated applications.

latency distribution technical

"2.6x tighter latency distribution"

The latency distribution is the statistical spread of delays between an initiating event and its response, for example the time it takes orders, quotes, or data feeds to travel and be processed. It shows how often short or long delays occur, like a histogram of response times, and matters to investors because timing affects trade execution, price discovery and comparisons of trading systems—similar to how a bus schedule’s variability affects whether you arrive on time.

throughput technical

"4.1% higher throughput"

Throughput is the amount of stuff, like products or data, that a system can handle or move through in a certain period of time. For example, a factory’s throughput is how many items it produces each hour, and it matters because higher throughput usually means things are running efficiently and meeting demand quickly.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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Support for the Hailo-8 AI Accelerator on QNX combines advanced edge AI with predictable real-time performance for mission-critical systems

WATERLOO, ON AND TEL AVIV, IL / ACCESS Newswire / August 27, 2026 / QNX, a division of BlackBerry Limited (NYSE:BB)(TSX:BB) today announced support for the Hailo-8 AI Accelerator on QNX® Software Development Platform (SDP) 8.0, expanding the hardware options available to customers building AI-powered edge systems where performance, reliability, and predictability are critical.

The combination of Hailo's edge AI acceleration and QNX®'s trusted real-time software enables developers to build AI-powered systems for safety- and mission-critical applications where performance and predictability must go hand in hand. A leading provider of edge AI processors, Hailo's technology is deployed across automotive, industrial automation, robotics, and smart infrastructure applications worldwide.

Enabling the Next Wave of Physical AI

As AI capabilities increasingly move from the cloud to the edge, organizations are under growing pressure to deliver intelligent systems that can operate safely and reliably in dynamic real-world environments. Whether building next-generation robots, medical devices, industrial systems, or Software-Defined Vehicles, developers need a joint hardware-software foundation capable of delivering both advanced AI performance and deterministic real-time behavior.

By combining Hailo's edge AI acceleration with QNX's trusted real-time software foundation, developers may accelerate the deployment of Physical AI systems without compromising the reliability, responsiveness, and predictability required for real-world operations.

Benchmarking Predictable AI Performance at the Edge

To demonstrate the benefits of running edge AI workloads on Hailo hardware with QNX, the companies conducted a benchmarking exercise using a Raspberry Pi 5 driving the Hailo-8 AI Accelerator, running on both QNX ®SDP 8.0 and a real-time Linux environment. The testing showed that AI workloads running on QNX OS can deliver high performance for AI on embedded devices, achieving up to 14x greater performance consistency, 2.6x tighter latency distribution, 4.1% higher throughput, and 3.9% lower average latency. Together, the results demonstrate how QNX and Hailo can help developers build AI-powered systems that are not only fast, but also more predictable and reliable in real-world operations.

"Increasingly, advanced embedded devices are looking to AI to unlock new functionality," said Grant Courville, SVP, Products and Strategy, QNX. "Together, QNX and Hailo are helping customers turn that potential into reality by bringing advanced AI capabilities to the edge on a QNX trusted and deterministic software foundation."

"As demand for intelligent edge systems continues to grow, developers are looking for technologies that simplify the path from innovation to deployment," said Max Glover, Chief Revenue Officer at Hailo. "Together with QNX, we're enabling customers to bring advanced AI capabilities to a broader range of embedded applications and accelerate the next generation of intelligent products."

Support for the Hailo-8 AI Accelerator expands the range of AI-enabled hardware available on QNX, giving developers greater flexibility to build intelligent systems that combine advanced edge AI capabilities with the real-time performance, reliability, and determinism required for deployment in the physical world.

QNX provides high-performance 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 defense. QNX empowers organizations to unlock new possibilities in areas like high-performance computing at the edge, standards-based virtualization technologies, and cloud enablement. Trusted in the world's most critical systems, QNX continues to lead across a range of sectors, including robotics and healthcare, where its technology is deployed by nine of the top ten medical device manufacturers.

Additional technical details are available in the whitepaper, QNX for Deterministic Physical AI Workloads.

For more information on QNX, visit QNX.com and follow @QNX News.

About BlackBerry

BlackBerry (NYSE:BB)(TSX:BB) provides enterprises and governments the intelligent software and services that power the world around us. Based in Waterloo, Ontario, the company's high-performance foundational software enables major automakers and industrial giants alike to unlock transformative applications, drive new revenue streams and launch innovative business models, all without sacrificing safety, security, and reliability. With a deep heritage in Secure Communications, BlackBerry delivers operational resiliency with a comprehensive, highly secure, and extensively certified portfolio for mobile fortification, mission-critical communications, and critical events management.

BlackBerry. Safe. Certified. Secure.

About QNX

QNX, a division of BlackBerry Limited (NYSE:BB)(TSX:BB), provides the trusted foundation that software-defined and physical AI systems depend on to operate safely and predictably in the real world. For nearly half a century, QNX has powered safety-critical applications where failure is not an option. The business leads the way in delivering safe and secure operating systems, hypervisors, middleware, solutions, and development tools, along with the support and services delivered by trusted embedded software experts. Today, QNX technology underpins hundreds of millions of vehicles on the road and a wide range of mission-critical systems across industrial controls, robotics, medical devices, commercial transportation, rail, and aerospace and defense. QNX is headquartered in Ottawa, Canada. Learn more at qnx.software.

©2026 BlackBerry Limited. Trademarks, including but not limited to BLACKBERRY and EMBLEM Design, QNX and the QNX logo design are the trademarks or registered trademarks of BlackBerry Limited, and the exclusive rights to such trademarks are expressly reserved. All other trademarks are the property of their respective owners. BlackBerry is not responsible for any third-party products or services.

About Hailo

Hailo, an edge AI-focused chipmaker, is developing specialized AI processors that enable data center-class performance on edge devices. Hailo's processors are the product of a rethinking of traditional computer architecture, enabling smart devices to perform sophisticated vision and generative AI tasks in real-time, with minimal power consumption, size, and cost. The processors are designed to fit into a multitude of smart machines and devices, impacting a variety of sectors including security & surveillance, automotive, smart homes, industrial and others.

Media Contacts:

BlackBerry Media Relations
+1 (519) 597-7273
mediarelations@BlackBerry.com

SOURCE: QNX

View the original press release on ACCESS Newswire

FAQ

What did BlackBerry QNX (NYSE:BB) announce about Hailo-8 support on August 27, 2026?

BlackBerry’s QNX division announced support for the Hailo-8 AI Accelerator on its QNX Software Development Platform 8.0. According to QNX, this expands AI-enabled hardware options for developers building edge systems that require advanced AI performance with deterministic, real-time behavior in safety- and mission-critical environments.

How does QNX SDP 8.0 with Hailo-8 perform versus real-time Linux for edge AI workloads?

QNX reports that AI workloads on QNX SDP 8.0 with Hailo-8 showed up to 14x greater performance consistency than a real-time Linux setup. According to QNX, benchmarks also indicated 2.6x tighter latency distribution, 4.1% higher throughput, and 3.9% lower average latency on embedded devices.

Which applications can benefit from the QNX and Hailo-8 Physical AI collaboration for BB shareholders to watch?

The collaboration targets AI-powered systems in automotive, industrial automation, robotics, smart infrastructure, and medical devices. According to QNX, these sectors need both advanced AI inference and predictable real-time performance, supporting the shift of AI workloads from the cloud to the edge in critical operations.

What does Physical AI at the edge mean in the context of QNX and Hailo-8?

Physical AI refers to intelligent systems operating in dynamic real-world environments, such as robots or vehicles, where timing and safety are crucial. According to QNX, combining its real-time software with Hailo’s edge AI accelerators aims to deliver both AI capability and deterministic responsiveness at the edge.

Why is predictable latency important in the QNX and Hailo-8 edge AI benchmarks?

Predictable latency helps ensure consistent response times in mission-critical systems like vehicles or medical devices. According to QNX, the benchmarks showed 2.6x tighter latency distribution and 3.9% lower average latency, supporting more reliable and repeatable AI behavior in real-world embedded deployments.

How does the QNX and Hailo-8 support potentially affect BlackBerry’s role in automotive and industrial markets?

The new support strengthens QNX’s position as a real-time software foundation for AI-enabled vehicles and industrial systems. According to BlackBerry, QNX already underpins hundreds of millions of vehicles and diverse mission-critical systems, and added Hailo-8 support broadens hardware choices for these markets.