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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Pricing
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 |
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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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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.
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Please refer to the linked documentation titled "Getting Started with QNX in the Cloud" under "Additional Resources"
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Customer reviews
Certified middleware has streamlined safety-critical ADAS development and supports future projects
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.