Edge computing technology should be on the radar of any business that wants to move faster, smarter, and closer to the data that drives them.
Why? Because edge computing enables businesses to process data where it’s created. That reduces transmission costs, improves network bandwidth, and supports real-time data processing in places the cloud alone can’t reach. Whether it’s remote devices in the field or smart devices in a retail store, edge computing systems help teams perform faster, more secure operations, right at the source.
In this post, we’ll break down five edge platforms leading the charge in 2025. You’ll see how they help businesses analyze data, gather insight, and maintain control, from the edge to the cloud and back again.
Simply NUC: Custom edge computing devices built for the real world
If you need high-performance edge computing solutions that fit in the palm of your hand, Simply NUC delivers.
Simply NUC offers a full range of edge computing devices designed for fast, efficient data processing at the edge, where every second and every square inch matters. These systems come pre-configured or custom-built to support operational analytics, predictive maintenance, and AI at the edge.
Need rugged edge servers that can operate in harsh physical locations like factory floors or outdoor facilities? Simply NUC has you covered. Deploying into more commercial spaces like healthcare, retail, or education? Try the Cyber Canyon NUC 15 Pro, it is compact, quiet, and ready for workloads like patient data processing, smart security, and local automation.
Their systems support secure data collection, edge AI frameworks, and hybrid deployments that connect seamlessly with your cloud infrastructure. With support for edge security, remote management, and energy-efficient operating systems, Simply NUC is the go-to for businesses that need edge tech that just works.
The first of its kind, NANO-BMC out-of-band management in a small form factor enables remote management of edge devices. Find out more about extremeEDGE Servers™.
Amazon Web Services (AWS): Cloud meets edge at scale
AWS brings its powerful cloud computing platform to the edge with a suite of services designed for scalability and control.
Using AWS IoT Greengrass and edge-specific services, businesses can collect data and run edge computing software in real time. These tools connect directly with AWS’s massive cloud resources, allowing you to keep your edge operations local while syncing summaries or insights to the cloud.
Security is baked in, with advanced security controls and encryption protecting critical data across remote locations. Whether you're managing IoT devices in smart buildings or tracking logistics in the field, AWS provides a flexible bridge between the edge and the cloud.
Microsoft Azure IoT Edge: Smart edge with seamless integration
The Azure IoT Edge platform is Microsoft’s answer to distributed, intelligent edge computing.
With this system, businesses can gather data insights, deploy AI models, and run edge computing software directly on edge hardware. It integrates cleanly with the Microsoft Azure Admin Center, making it easy to manage devices, monitor performance, and scale quickly.
Edge security? Covered. The platform protects sensitive data, making it a solid choice for industries like healthcare or finance where compliance and privacy matter. And because it’s built on a hybrid cloud model, Azure lets you operate locally while staying connected to your centralized platform in the cloud.
Google Distributed Cloud: AI, edge analytics, and observability
The Google Distributed Cloud Suite and Google Distributed Cloud Edge offerings bring Google’s AI and cloud tools closer to where data originates.
You can run workloads on edge infrastructure, including remote devices and local clusters, using an integrated development environment that supports containerized apps and ML models. Whether you're doing predictive maintenance, tracking environmental conditions, or enabling fog computing in a manufacturing setting, Google helps you do it right at the edge.
Security is a major focus. Google supports integration with third party security services to reduce security risks and improve edge observability. For teams that already rely on Google Cloud, this is a natural step forward.
HPE GreenLake: Flexible edge for complex networks
HPE GreenLake is a strong choice for businesses that need edge connectivity products across distributed networks or industrial sites.
This edge computing service operates on a pay-per-use hybrid cloud model, which means you only pay for what you use, and can scale your edge access as your business grows. It’s particularly effective for complex setups like private cloud environments or real-time analytics in energy and logistics.
GreenLake gives you tools to manage data collected across multiple edge locations, along with robust security controls and built-in tools to analyze data close to the source. It’s also optimized for remote visibility, so you stay in control no matter where your infrastructure lives.
Why edge computing matters now more than ever
If you’ve been waiting for the right moment to adopt edge computing, 2025 is it.
Today’s edge platforms are no longer niche solutions. They’re robust, reliable, and designed to work with the cloud infrastructure and analytics tools you already use. More than ever, edge computing enables businesses to improve operational efficiency, reduce reliance on centralized cloud systems, and make smarter decisions in real time.
Whether you’re focused on reducing network bandwidth usage, managing smart devices, or making the most of data insights across multiple sites, the edge has become an essential part of modern infrastructure.
Want to bring edge computing closer to your data?
Simply NUC offers compact, configurable systems built for real-world edge challenges. Let’s talk about how we can help you extend your cloud computing strategy – without losing speed, control, or visibility at the edge.
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