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    QNX Neutrino RTOS 7.1

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    Sold by: QNX 
    Deployed on AWS
    QNX® Neutrino® Real-Time Operating System - the industry-leading RTOS for developing mission-critical embedded systems software, enabling next-generation products in every industry where reliability matters, including automotive, medical devices, robotics, transportation and industrial embedded systems.
    4.2

    Overview

    QNX® Neutrino® Real-Time Operating System (RTOS) is the industry-leading RTOS for developing mission-critical embedded systems software for industries including automotive, robotics, medical devices, industrial controls, and aerospace & defense.

    The microkernel architecture provides an extensible operating system framework managed by the kernel foundational components, system libraries and frameworks. When modified or configured to operate on target hardware, the QNX Neutrino RTOS provides a microkernel operating system with advanced memory protection, distributed processing, symmetric multiprocessing, a dynamically upgradeable architecture, and real-time performance.

    This cloud-enabled version of the RTOS is part of the BlackBerry QNX Accelerate initiative. Develop mission-critical embedded systems software, globally, at scale. Accelerate development cycles with full ARM64 binary parity and CI/CD pipeline integration. Focus on innovation, with reduced capital expenditure and faster time-to-market.

    Highlights

    • Microkernel RTOS - safe, reliable, scalable, secure, cost-effectiveness, real-time, high performance, with ARM64 binary parity from embedded target system to the cloud

    Details

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    Delivery method

    Delivery option
    64-bit (Arm) Amazon Machine Image (AMI)

    Latest version

    Operating system
    OtherLinux QNX Neutrino RTOS 7.1 Build 209 2023.02.24

    Deployed on AWS
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    Pricing

    QNX Neutrino RTOS 7.1

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    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (27)

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    Dimension
    Cost/hour
    t4g.xlarge
    Recommended
    $0.37
    t4g.2xlarge
    $0.37
    r6g.xlarge
    $0.37
    m6g.large
    $0.37
    r6g.2xlarge
    $0.37
    c6gn.medium
    $0.37
    m6g.4xlarge
    $0.46
    c6gn.8xlarge
    $0.57
    c6gn.large
    $0.37
    m6g.medium
    $0.37

    Vendor refund policy

    Customer may cancel and cease using the software and service at any time. In no event will any refund or credit be provided.

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    Vendor terms and conditions

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    Usage information

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    Delivery details

    64-bit (Arm) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Additional details

    Usage instructions

    Please refer to the linked documentation titled "Getting Started with QNX in the Cloud" under "Additional Resources"

    Support

    Vendor support

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Product comparison

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    Accolades

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    Top
    100
    In Operating Systems
    Top
    100
    In Application Servers, Network Infrastructure

    Customer reviews

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    Sentiment is AI generated from actual customer reviews on AWS and G2
    Reviews
    Functionality
    Ease of use
    Customer service
    Cost effectiveness
    21 reviews
    Insufficient data
    Positive reviews
    Mixed reviews
    Negative reviews

    Overview

     Info
    AI generated from product descriptions
    Microkernel Architecture
    Extensible operating system framework with kernel foundational components, system libraries and frameworks enabling modular and scalable design
    Memory Protection
    Advanced memory protection mechanisms for isolating processes and preventing unauthorized access between system components
    Symmetric Multiprocessing
    Support for symmetric multiprocessing enabling parallel execution across multiple processor cores
    Real-Time Performance
    Deterministic real-time performance capabilities for mission-critical embedded systems requiring predictable response times
    ARM64 Binary Parity
    Full ARM64 binary compatibility between embedded target systems and cloud environments with CI/CD pipeline integration
    Real-Time Operating System
    Provides real-time operating system capabilities for AWS Graviton 2 processors
    Image Loader Functionality
    Includes image loader component for loading VxWorks images on Graviton 2 architecture
    Security Certification
    Designed with security features that support certification requirements
    AWS Graviton 2 Compatibility
    Optimized for execution on AWS Graviton 2 processor architecture
    ARM Architecture Optimization
    Built specifically for ARM processors, providing superior performance and reliability in ARM-based EC2 instances with lightweight footprint.
    Latest Kernel and Software Packages
    Includes the most recent Linux kernel and an extensive repository of software packages for modern development needs.
    Security Enhancements
    Improved security features including advanced user permissions, regular security patching, timely updates, and integrated security frameworks to protect against vulnerabilities.
    Container and Microservices Support
    Seamless support for popular container orchestration tools including Kubernetes and Docker, enabling deployment and management of cloud-native applications and microservices.
    Development Tools and Language Support
    Extensive suite of development tools readily available with strong support for various programming languages and libraries, including machine learning frameworks.

    Contract

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    Standard contract
    No

    Customer reviews

    Ratings and reviews

     Info
    4.2
    23 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    52%
    39%
    9%
    0%
    0%
    1 AWS reviews
    |
    22 external reviews
    External reviews are from G2  and PeerSpot .
    reviewer2878311

    Advanced traceability has improved debugging and now optimizes complex embedded architectures

    Reviewed on Jul 23, 2026
    Review provided by PeerSpot

    What is our primary use case?

    For seven years, I was a software architect and used QNX Neutrino  as part of my platforms. QNX Neutrino  was the main operating system for one of the processors that we were using. I find it difficult to mention one specific thing about my main use case or how I was using QNX Neutrino in my projects, as it is a substantial stack of libraries, tools, and SDKs. I believe we were using most of it.

    I was mainly involved in projects with product lifecycle and software architecture on that processor, deploying different in-house built platforms while referencing them to QNX Neutrino and stepping on QNX Neutrino itself. It is genuinely difficult to mention just one thing.

    What is most valuable?

    QNX Neutrino offers excellent features including debuggability. I would highlight traceability of the processes, configuration of the processes, network, memory layout, and so forth.

    Out of those features, the traceability of the processes and the threads made my life significantly easier and was especially valuable in my projects. I was able to easily see when a thread was being actively used or when it was just looping without making any progress or when it was in idle. This was very helpful when we had to improve the startup of the system, as we were able to reduce it from twelve seconds to approximately two or three seconds just by analyzing how the threads were being started and their dependencies. This was one of the most useful features.

    QNX Neutrino has positively impacted my organization because it was chosen as the main operating system for the products, at least for the graphical interface communication and for the application layer management. It was established as the best operating system for those kinds of platforms in my organization.

    What needs improvement?

    QNX Neutrino can be improved by simply continuing the good support and enhancing the toolsets.

    While I cannot identify specific improvements needed for QNX Neutrino right now, something that could improve what I was doing would be to somehow analyze those threads. Instead of me going through the trace logger, it would be beneficial for QNX Neutrino to make automatic analysis and determine what the correct order of the startup of the processes should be in order to achieve the best startup of the system. I think that could be a valuable addition.

    For how long have I used the solution?

    I have been using QNX Neutrino for approximately ten years.

    How are customer service and support?

    Regarding specific outcomes, I cannot speak to that because when I started, we were already using QNX Neutrino. We were only updating it, building upon it, and reconfiguring different systems. I observed that QNX Neutrino was easy to work with and had very good support. Therefore, I cannot say if it was better than anything else.

    What other advice do I have?

    I do not think I can give that kind of advice to others looking into using QNX Neutrino because it is very specific to the people that are using it, and it depends on everyone's specific needs, projects, and so forth. It is not advice that I would give in a general manner.

    I would rate QNX Neutrino a nine on a scale of one to ten.

    I give it a nine because I always operate with the idea that something could be improved, even if I do not know that it exists. I cannot give a perfect score just for that reason. It is certainly a better option than Linux for those kinds of projects.

    I have no additional thoughts about QNX Neutrino.

    Hemanth Chakravarthy

    Certified middleware has streamlined safety-critical ADAS development and supports future projects

    Reviewed on Jul 20, 2026
    Review provided by PeerSpot

    What is our primary use case?

    QNX Neutrino  is currently one of many trials that we are conducting for testing the best match for our different product lines as we have been experimenting and preparing for potential customer projects.

    For example, we are using QNX Neutrino  for developing one of our ADAS domain controller ECU, which is based on Texas Instruments TDA4 VM SOC, as a middleware stack on which we were deploying some of our performance algorithms.

    That is the only use case that I have been personally involved with, and that is all I have to add about my use of QNX Neutrino in these projects.

    What is most valuable?

    I would say for the performance cores, QNX Neutrino offers enhanced security features compared to functional safety and security features when compared to any Linux alternatives.

    We use our products for ADAS and automated driving, which are ASIL B to ASIL D level safety-critical applications, and QNX Neutrino helps us by providing certified middleware stacks so we don't have to do extensive testing on it, allowing us to focus only on the functions and algorithms. Using any open-source Linux would cause a lot of effort for us to test the overall software, so QNX Neutrino actually helps us reduce our effort and focus our software testing only on the functions and algorithms. It also offers virtual ECU type environments for a lot of testing even before integrating the whole software onto the actual hardware, thus saving us a lot of time later.

    What needs improvement?

    I cannot answer how QNX Neutrino can be improved as I don't have any pain points or areas I wish were better.

    There is nothing that comes to my mind regarding needed improvements.

    For how long have I used the solution?

    I have been using QNX Neutrino since 2024, although we haven't made any salable products with it, we have used it for most of our core development.

    What do I think about the stability of the solution?

    QNX Neutrino is stable.

    Which solution did I use previously and why did I switch?

    I did not previously use a different solution before QNX Neutrino.

    Which other solutions did I evaluate?

    I haven't evaluated other options before choosing QNX Neutrino, as we were just experimenting with it.

    What other advice do I have?

    There is nothing more that I would like to add about the features.

    It's too early to say how QNX Neutrino has impacted my organization positively, as we haven't really noticed any significant advantages, but we are preparing for next-gen use cases. We haven't won any customer project where we had to use QNX Neutrino middleware stack, but we do have a lot of exposure to it right now, and when we win such businesses, we know we should be using QNX Neutrino.

    I would say nothing specific regarding expectations or hopes for how QNX Neutrino could impact our team's workflow or efficiency if we move forward with it, as we already have other alternative solutions. One good thing that I can mention is that with the performance cores, like the A72 cores, we have very less mass production experience with them, so if we were to launch on a customer-selected SOC with performance cores, QNX Neutrino might give us some time savings because it has already proven middleware stack compared to Linux.

    I gave this review a rating of 8.

    Oil & Energy

    Reliable Real-Time Performance with Strong Security for Critical Applications

    Reviewed on Jun 11, 2026
    Review provided by G2
    What do you like best about the product?
    The best thing about this platform is that it stands out for its reliability, deterministic real-time performance, and its microkernel architecture. Also, their operating system is designed specifically for critical applications where downtime or failure is not an option. I also liked their strong security model and other safety certifications, which support our virtualisation through multiple regulations and criteria. This platform is also a solid foundation for system development.
    What do you dislike about the product?
    The biggest challenge I faced in this platform is its learning curve, especially for our developers coming from a Linux-based environment. Their licensing and commercial deployment costs are higher compared with other open-source alternatives out there in this space. Also, their ecosystem and community resources are much smaller when compared with other open-source distributions. Their community feedback frequently points to cost as a consideration for even smaller projects.
    What problems is the product solving and how is that benefiting you?
    This platform solves the problem of the need for highly reliable and predictable software operations in critical environments. This platform also shows our real-time responsiveness, system stability and fault isolations along with safety compliances, which are tracked effectively. This platform also helps us by reducing operational risk by improving confidence when teams are deploying systems. Overall, their readiness and reliability are exceptional features of this platform, I would say.
    NOre L.

    Robust RTOS for Mission-Critical Systems with Room for Improvement

    Reviewed on Feb 23, 2026
    Review provided by G2
    What do you like best about the product?
    I really like BlackBerry QNX for its unmatched combination of real-time determinism, microkernel reliability, and built-in functional safety certifications. It provides consistent, low-latency performance essential in safety-critical environments. The fault-isolation architecture significantly reduces system-wide failure risks. Its pre-certified components simplify compliance for standards like ISO 26262, streamlining development time and risk. The real-time determinism ensures predictable response even under load, which is crucial for systems like automotive ADAS and industrial controls. The microkernel architecture allows for fault isolation, meaning a failure in one component won't crash the whole system, making debugging easier and improving system uptime. It's a trusted platform for mission-critical systems.
    What do you dislike about the product?
    I'm not entirely thrilled with BlackBerry QNX's resource footprint and hardware requirements. Its robustness comes with a relatively higher hardware cost compared to lighter RTOSes, and it performs best on more powerful SoCs, which isn't as cost-effective for simple, low-cost embedded endpoints. Also, the development tooling and ecosystem familiarity could be better. The QNX development environment is powerful but specialized, and new team members often face a learning curve since it's not as widely known or as familiar as Linux-based toolchains. It'd be great to have more modern, streamlined IDE integration to help speed up onboarding.
    What problems is the product solving and how is that benefiting you?
    I use BlackBerry QNX for safety-critical systems. It delivers deterministic, low-latency performance and addresses functional safety and compliance effectively, reducing certification complexity. Its microkernel architecture minimizes system failures and enhances security in connected devices.
    VIVEK K.

    Secure, Efficient OS for Embedded Systems

    Reviewed on Jan 31, 2026
    Review provided by G2
    What do you like best about the product?
    I like that BlackBerry QNX is a very good Linux-based OS for embedded systems, offering good security and safety features, along with process monitoring and management from the OS/Kernel layer. Many of the commands in QNX are similar to Linux, which is convenient. The safety and security features it provides are beneficial because, as an embedded software company, we would otherwise need to implement these features from scratch, saving us a lot of time and effort. I find that some features like process management, process monitoring, and CPU monitoring are provided by QNX by default, which makes things easier for us. I also think QNX is very useful as an OS running on any embedded system, especially for running ADAS features. Setting it up was somewhat easy, due to the support from a different team within our organization. I would rate it a 9 out of 10 in recommending it to a friend or colleague.
    What do you dislike about the product?
    Not much, just that some (very few as far as I know) of the Linux commands don't work in BlackBerry QNX or might have a completely different command for the same task. So to provide support for those commands/task could be one of the improvement areas for BlackBerry QNX.
    What problems is the product solving and how is that benefiting you?
    I find BlackBerry QNX provides excellent security and safety features for embedded systems, saving us time and effort by including essential processes like monitoring and management. Its Linux-like commands are also a plus, though some differ, which could improve.
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